Building a sustainable growth model
Quick answer
- 01What is it?
- Help users transition from linear funnel thinking to a loop-based growth model that identifies and optimizes the core engines of their business. The value is a focused slice of growth marketing judgment, useful when several similar skills cover the same ground.
- 02Inputs
- Context for growth marketing: your goals, audience, constraints, and any source material the skill asks for.
- 03Output
- A ready-to-use result for growth marketing: the analysis, copy, or recommendations the agent produces.
Add this skill
Install as a package
Installs this one skill package for your coding agent, including any supporting files that skill ships with — not every skill in the repository. Read the tutorial.
$ npx skills add refoundai/lenny-skills --skill growth-modelSkill instructions
The instruction file for this skill. The skill also includes other files you need to install to use it.
Building a Sustainable Growth Model
Move beyond linear funnels to build compounding loops that drive scalable, long-term product growth.
Help the user with building a sustainable growth model using insights from 16 guests and posts across Lenny's Podcast and Newsletter.
How to Help
- Audit current mechanics - Assist the user in identifying whether their current growth is driven by SEO, paid ads, sales, or virality based on product characteristics.
- Visualize the model - Guide the user to map out their growth as a system of interconnected, reinforcing loops rather than a one-way funnel.
- Quantify the loops - Help the user build a mathematical representation of their growth variables in a spreadsheet to stress-test their assumptions.
- Identify constraints - Analyze where growth is stalling by diagnosing failure points in the user journey from acquisition to retention.
Core Principles
Loops over funnels
Shishir Mehrotra: "But I highly encourage drawing a diagram like this for your business. I'll flash it up on screen for a second and I'll describe it, but this is what the diagram looks like, black loop, blue loop, and it's basically the two different ways that our product spreads. The Black Loop is someone comes in, they make a doc, they share with a group of people, some subset of the people turn around and make another doc, and the process repeats itself over and over again."
Visualize growth as recurring loops where the output of one cycle becomes the input for the next, creating organic mechanisms for scaling.
Mathematical reconciliation
Dan Hockenmaier: "And that's how I think about a growth model, so the analytical representation of how the business grows and it's typically built in a spreadsheet which has a really nice feature of being very hard to fake. You can talk about a business conceptually, but when you actually have to get it to line up and link in a model, it's very hard to not force yourself to understand how the business works."
Building your model in a spreadsheet forces you to reconcile conceptual theories with mathematical reality, ensuring all variables are linked.
Prioritize volume via low barriers
Archie Abrams: "In a given cohort of merchants, a lot of people will start. Some of those people on their first attempt that's entrepreneurship might not succeed, but the folks who do go on to be successful will make that entire cohort of merchants who started something that makes Shopify as a business extremely successful. And that's why we lower the barriers to get started and help folks grow, and those winners make the whole thing work."
In power law models, maximizing top of funnel volume by lowering entry barriers is more effective for long term revenue than early optimization.
Capture kinetic energy
Sarah Tavel: "This is where I love to think of every time a user users your product, let's say they're clicking on the mouse or they're tapping on their phone, I love to think of it as this kinetic energy that they're putting into your product. You're taking that energy, and your job with a great product, is to take that energy and, as much as possible, convert it back to the experience that they're having with your product."
Sustainable growth is achieved by converting individual user actions into collective network effects that improve the product for everyone.
Target high density networks
Nikita Bier: "We found that as a user got older from age 13 to 18, the number of people that they invite to an app just declines almost exponentially. Finally, and the most important thing is they see each other every day, and that is so critical."
Viral growth is exponentially easier in demographics with high daily physical proximity and malleable social habits, such as younger cohorts.
Layer motions strategically
Elena Verna 3.0: "Wait for growth until you are ready to overlay product-led growth on top of your sales motion. ... honestly, the longer you wait, the better it is because that way your entire company will be trained to be responsible for growth."
Avoid siloing growth; instead, layer different motions like product-led growth only after your primary sales or marketing motion is stable.
Templates & Frameworks
- Magical Growth Loops Taxonomy (Magical growth loops) - A 4-type classification of growth loops where existing users recruit new users, each with active and passive sub-types. Used to brainstorm and identify latent g
- The Racecar Growth Framework (60 ideas to boost your growth) - A framework co-authored by Lenny and Dan Hockenmaier that maps business growth to four components of a high-performance race car, helping teams categorize and p
- Growth Model Framework (Growth Levers × Growth Motions) (Six rules of hiring for growth) - A framework for defining your company's growth model by combining growth levers (acquisition, retention, monetization) with growth motions (product-led, sales-l
- ARIA Framework (How to accelerate growth by focusing on the features you already have) - A four-principle framework for increasing engagement with existing features to drive product growth. Designed to be used as an ongoing, repeatable process (not
- 30+ Company Growth Loop Examples (Magical growth loops) - Comprehensive catalog of real companies and their specific magical growth loops, organized by loop type
- Growth Loop Brainstorming Questions (Magical growth loops) - Derived from the taxonomy — a set of questions to evaluate whether your product has a latent magical growth loop
- Duolingo User Engagement Bucket Model (MECE Growth Model) (How Duolingo reignited user growth) - A closed-circuit user segmentation model where every user who has ever used the product is in exactly one bucket on any given day, with arrows representing dail
See references/artifacts.md for the full list with details.
Questions to Help Users
- "What is the single core action a user takes that naturally leads to another user joining or an existing user returning?"
- "If you stopped all paid marketing tomorrow, which organic loops would continue to generate new users?"
- "Is your business model's primary advantage found in its margins, its search authority, or its viral coefficient?"
- "Can an end-user discover, use, and upgrade your product without any human intervention from your team?"
- "Which user cohort has the highest 'kinetic energy' and how are you converting that into product value for others?"
- "Does your current growth model rely on a 'magic wand' hack or a repeatable, compounding engine?"
Common Mistakes to Flag
- Outsourcing product-market fit - Growth leaders cannot fix a business if the core product lacks a solution that customers find indispensable and retain naturally.
- Incrementalism in hyper-competitive markets - Traditional funnel tweaks take a back seat to bold innovation and core solution reinvention when competition is intense.
- Ignoring the primary growth engine - Startups often dilute efforts across many channels instead of mastering the one engine (SEO, Paid, or Viral) that fits their product mechanics.
- Measuring correlation instead of incrementality - Wasting budget on marketing spend that would have occurred anyway leads to false confidence in growth efficiency.
Deep Dive
For all 50 sourced insights from 16 guests, see references/guest-insights.md
Related Skills
- Acquisition Channels
- User Onboarding Activation
- Retention Engagement
- Referrals Word Of Mouth
Supporting file: references/artifacts.md
Building a Sustainable Growth Model - Frameworks, Templates & Checklists
163 artifacts extracted from Lenny's Podcast and Newsletter
Frameworks
100 People's Favorite Podcast Framework (My podcast tech stack, workflows, and lessons)
A strategy for launching and growing a podcast by focusing on making 100 people love it rather than many people like it, then expanding from that foothold
How it works: 1. Identify a niche where at least 100 people would love a podcast (e.g., product management) 2. Focus exclusively on making it the best podcast for those 100 people 3. Once you have that foothold: people who love it tell friends, better guests say yes, you improve at podcasting 4. Gradually expand topics adjacent to your niche (e.g., from PM to sales, storytelling, design, fear, productivity) 5. The audience grows with you as you expand
Why 100? Most podcasts can't even get 100 listeners. When you focus on a small number, you do a great job giving them exactly what they want. Why love? There are too many podcasts. If people don't love yours, they move on. You need to break into people's podcast rotation, which means bumping another podcast off their list.
1000 True Fans Economics Applied to Substack (Sachin Monga)
Kevin Kelly's 1000 True Fans concept validated with real Substack economics
How it works: 1,000 paid subscribers × ~$10/month = ~$100K/year = a living wage. Key insight from Sachin: with network effects, if there are 1,000 people willing to pay, there are probably 2,000, 5,000, and 10,000. The market for niche content is much larger than creators expect.
4 Pillars of B2C Subscription Success (Gina Gotthilf)
The core principles that allowed Duolingo to survive and thrive as a consumer subscription app.
How it works: 1. Obsession with the mission (attracts talent, drives long-term decisions). 2. Zero/low paid acquisition (stay lean, avoid CAC dependency). 3. Obsession with retention (ensuring real value before scaling). 4. Obsession with product data (rigorous A/B testing, not just copying designs).
AI Adoption Without Hardware Distribution Bottleneck (Scott Wu)
Unlike PC, internet, and mobile revolutions which grew steadily due to hardware distribution constraints, AI has no such bottleneck and grows exponentially
How it works: Previous tech revolutions: PC, internet, mobile all had hardware distribution as a bottleneck (building infrastructure, manufacturing devices, connecting people). Markets grew steadily year-over-year as hardware penetration increased. AI difference: no hardware distribution weight, pure software distribution, already past inflection point for AI code. Implication: market growth is exponential rather than linear, and competitive landscape moves faster than any previous technology shift.
ARIA Framework (How to accelerate growth by focusing on the features you already have)
A four-principle framework for increasing engagement with existing features to drive product growth. Designed to be used as an ongoing, repeatable process (not one-and-done).
How it works: ARIA stands for four principles:
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ANALYZE 1.1 Identify key features correlated with growth (acquisition, monetization, retention, expansion) via correlation analysis 1.2 Calculate usage metrics for those features across adoption stages: Aware → Tried It → Adopted → Power User. Also measure completion rates and success rates. 1.3 Focus on features that drive growth AND have low usage metrics (low adoption, completion, or success rates)
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REDUCE (friction) 2.1 Reduce steps in the process — count every click, tap, or type as a step; remove unnecessary ones 2.2 Reduce effort per step using three methods: a. Have users edit rather than create from scratch (provide starting points, templates, pre-built content) b. Use smart defaults (intelligently prefill values based on context, user behavior, or common choices) c. Enable click/tap rather than type (replace typing with selectable lists/options) 2.3 Reduce cognitive load — watch new users struggle, identify unfamiliar concepts, use templates to make concepts tangible
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INTRODUCE 3.1 Increase feature awareness IN CONTEXT — introduce features at the moment the user is most likely to need them, not in onboarding or What's New pop-ups 3.2 Motivate the user: a. Describe the benefits of using the feature (spell out the goals it helps with) b. Highlight different use cases for the feature
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ASSIST 4.1 Provide 'empty state' guidance — use blank pages to explain features, benefits, CTAs, and resources 4.2 Offer templates — incorporate expertise users don't have 4.3 Create error messages that are actually helpful — explain what caused the error and how to fix it
Implicit 5th principle: REPEAT — this is an ongoing process, not one-and-done.
Active vs. Passive Loop Classification (Magical growth loops)
A sub-classification within each loop type distinguishing whether users actively invite others or passively expose others to the product
How it works: Active loops: Users deliberately invite or recruit other users. Examples include direct invitations (Figma co-worker invites), sharing with existing audiences (Cameo celebrities sharing profiles), referral programs (Dropbox bonus storage).
Passive loops: New users discover the product as a by-product of existing users using it. Examples include embedded branding (Intercom widget, Superhuman email signature, Typeform logo on surveys), meeting/sharing links (Zoom invite links, Google Docs share links), role conversion (Uber riders becoming drivers, Airbnb guests becoming hosts), cross-posting (Instagram photos shared to other networks).
Key insight: Passive loops are often overlooked but can be extremely powerful because they require no extra effort from users — growth happens as a natural side effect of product usage.
Adam Grenier's Business Model Payback Period Guide (What is a good payback period?)
A framework that maps business archetype characteristics (loyalty, frequency, cost, switching costs) to recommended target payback periods
How it works: Start with a baseline of 6-12 months, then adjust based on your business type: 1. Low loyalty + low frequency (e.g. airfares): Target 1-7 days payback. Need payback on first transaction since customers buy only 1-2x/year with no loyalty. 2. Low loyalty + high frequency (e.g. games): Target 1-3 months. Ad-supported, microtransaction/whale-driven. Users don't stick around past 3 months for most games. 3. Mid-loyalty + mid-frequency + higher purchases (e.g. gig services—rides, food, groceries): Target 6-12 months. People jump between services but find steady cadence over time. 4. Mid-low cost + high frequency (e.g. streaming services): Target 3-6 months. Monthly subscribers, weekly usage, low switching costs. 5. Higher cost + high frequency + painful to change (e.g. phone/internet, creator platforms): Target 1-2 years. High monthly costs, switching penalties, daily usage. Winning the market may be worth the extended payback. 6. Mid-high cost + yearly subscriptions (e.g. Noom, Peloton): Target immediate payback. Then adjust based on churn and renewal data.
Adjacent User Theory (Bangaly Kaba, Elena Verna 3.0)
A mental model for sustaining hypergrowth by continuously solving for the next demographic of users who are failing to adopt the product.
How it works: Look at cohort curves declining over time. Identify the persona just outside the current core user base. Dogfood the product exactly as they would (e.g., new account, no history, different device) to find friction.
Attract, Engage, Delight Macro Loop (Christopher Miller)
HubSpot's high-level growth flywheel based on giving value before extracting it.
How it works: 1. Attract: Give away free software/content. 2. Engage: Let users get sustainable value until they naturally hit limits, making the purchase decision a no-brainer. 3. Delight: Provide an excellent experience so they become advocates who bring in new peers.
B2B Growth Channel Sequencing (Sri Batchu)
A recommended ordering for when to invest in different growth channels as a B2B company scales
How it works: Sequence: 1) Founder-led sales, 2) First couple of salespeople, 3) Low-cost targeted marketing (content, community, small events), 4) PR, 5) Paid marketing and brand efforts, 6) SEO (same time as paid). Rationale: channels get more expensive but more effective and scalable as you go further along. SEO is later because it requires domain authority and backlinks to be effective.
Black Loop and Blue Loop (Shishir Mehrotra)
A growth ecosystem diagram with two loops: the Black Loop (share-create viral loop within teams, like how documents spread) and the Blue Loop (publish-to-world content loop where users create public content that attracts new users, like YouTube). Includes three entry points: direct signup, viral share, and content discovery.
How it works: Black Loop: User → Creates doc → Shares with team → Some recipients create new docs → Loop repeats. Blue Loop: User → Creates doc → Publishes publicly (pick URL, SEO, gallery) → Broad exposure → New users discover product through content → Loop repeats. Three entry points with different activation rates: 1) Direct top-of-funnel (worst activation), 2) Blue Loop/template discovery (middle), 3) Black Loop/shared doc (best activation, ~1 in 5 activate from top of funnel).
Broadcast Diffusion vs. Viral Spread Model (Virality is a myth (mostly))
A mental model that reframes how products actually grow: not through many-to-many viral spread, but through one-to-many broadcast moments that spark short-lived viral cascades (series of S-curves)
How it works: Two contrasting models of how products spread:
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VIRAL MODEL (myth): One person tells two, two tell four, four tell eight. Exponential, self-sustaining. Looks like a branching tree diagram.
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BROADCAST DIFFUSION MODEL (reality): One source broadcasts to many people at once. Some of those people share with a few others, but spread dies quickly. Looks like a hub-and-spoke with minimal secondary spread.
Key insight: 'Digital blockbusters are not about a million one-to-one moments as much as they are about a few one-to-one-million moments.'
Product growth is actually a series of S-curves, each sparked by a broadcast event (PR, influencer, TV appearance), with short-lived viral spread after each event that quickly plateaus.
Business as a Math Equation (Tom Conrad)
A mental model for evaluating companies not just by product quality but by the foundational equation that describes how investment converts to returns on a time horizon, with variables influenced by product decisions but also by structural market factors
How it works: Key questions: 1) What is the foundational equation of the business? 2) What variables in the equation are influenced by product decisions? 3) Are there variables that are structurally broken regardless of execution? 4) What's the minimum investment required for the equation to work? 5) What assumptions about distribution, retention, and unit economics must be true? Applied at Quibi (needed $6-10B not $2B, needed top-10 app store from day one) and at Zero (building financial models to identify high-leverage optimization points)
Business as an Equation (The Best of Lenny’s Newsletter—2024 Edition)
A framework for describing your business model as a mathematical formula
How it works: A method for expressing your business model as a math equation that captures the key drivers of revenue and growth, making it easier to identify which levers to pull.
Champion-at-Scale Growth Model (Zoelle Egner)
Airtable's approach to finding, investing in, and scaling product champions who evangelize both within and across companies
How it works: Steps: 1) Build a Slack integration (or similar) that pulls in signup data (title, company, etc.) with a quick-action button to email them. 2) Manually reach out to promising signups offering to help them succeed. 3) Over-invest in helping one person succeed—they become support for everyone else in their company. 4) Track patterns across champions to build persona models. 5) Convert champion insights into templates, blog posts, and content (the 'conveyor belt'). 6) Use champion personas to target ads and campaigns. 7) Track unofficial KPI: how many customers got promoted for using the product. Key insight: Champions ≠ Buyers. Champions evangelize; buyers have budget. Find champions first, then go to IT/buyers with usage data.
Come for the tool, stay for the network (Lessons on building a viral consumer app: The story of Saturn)
Chris Dixon's framework for using single-player utility as a wedge to bootstrap a social network. Start with a tool that provides standalone value, then layer on network effects over time.
How it works: Phase 1 - Single-Player Tool: Build a utility that provides value to individual users regardless of network size (e.g., Saturn's calendar for managing school schedules). This drives retention and gives you time to iterate.
Phase 2 - Multiplayer/Social Layer: Add social features that create value from seeing what others are doing (e.g., seeing friends' schedules). The social layer makes the product stickier but isn't required for core value.
Phase 3 - Network Effects: As the network grows, the social value compounds and creates a moat. The story shifts from 'useful tool for me' to 'useful tool connected to everyone I know.'
Key principle: Single-player tools are 'kindling' for networks. Great retention reduces the cost of making mistakes and allows you to take bigger risks and learn faster.
Examples cited:
- Saturn: Calendar (single-player) → see friends' schedules (multiplayer) → social network around the school day
- Venmo: 'Get paid by a friend' (utility) → 'Get paid by all your friends, even faster' (network)
- Instagram: Photo tool → social photo sharing
- Facebook: Exception—never needed a single-player mode due to unique circumstances
Anti-pattern: Apps with great social loops but no single-player use case experience destructive inverse K-factors when users start leaving.
Compound Growth Formula for Retention + Word of Mouth (The secret to Duolingo’s exponential growth)
A mathematical model showing how even a 1% retention improvement compounds through word-of-mouth growth loops over time
How it works: Formula: Xn+1 = (Xn * retention_rate) + (Xn * word_of_mouth_rate)
Example with 100,000 DAUs, 80% retention, 1-in-5 WOM rate:
- Baseline: Xn+1 = (100,000 * 80%) + (100,000 * 20%) = 100,000 (stable)
- With 1% retention improvement (81%):
- Day 0: 100,000
- Day 1: 101,000
- Day 2: 102,010
- Day 3: 103,030
- Day 7: 107,213
- Day 8: 108,285
- Week 1 gained 1,000 DAUs on Monday; Week 2 gained 1,072 on Monday—72 more just from compounding.
Key insight: The earlier you launch a winning experiment, the longer it compounds. Delaying a port by 102 days cost ~153,300 DAUs on average per day during that period, which also meant ~3,000 fewer word-of-mouth new users per day.
Compounding Value Feature Design (The unconventional Palantir principles that catalyzed a generation of startups)
A product design pattern where features are built so that each user's actions increase the product's value for all subsequent users through growing data assets and network effects.
How it works: Two manifestation types:
- Growing data asset — more valuable records or an increasingly well-trained ML model
- Network effects — user and customer interactions with one another
Canonical example — Palantir 'Tagging' feature:
- User reads a document mentioning 'John Smith' as a terrorist suspect with phone number '123-456-7890'
- User selects text and writes it back to the system as a new structured entity
- This new entity links to other existing structured records
- Next user finds John Smith, sees source referencing him, and surfaces connections through the phone number WITHOUT reading the original report
- Users can also leave analytic remarks after investigations, helping the next user start from the last user's endpoint
- With thousands of users each tagging and commenting thousands of times per year, value grows faster than linear user growth
Other examples:
- Peregrine: Public safety organizations form software-defined sharing arrangements; authorized records shared without phone calls; non-customer agencies see pathway to joining; each new member increases stickiness for all
- Repl.it: Each new public template coding project acts as a starter project for new/existing users to build upon
Lessons:
- Identify ways to solve problems that increase value over time for the nth user
- Supercharge those cycles by streamlining usability and calling attention to them with new users
Key insight: You don't need to solve different problems — solve the same problems in ways that draw in or add value for others.
Consumer Subscription Business Type Classification (The most important consumer subscription metrics to track)
A three-category taxonomy for classifying consumer subscription businesses, each with a different critical success factor
How it works: Three categories:
- Content subscriptions (e.g. Netflix, Spotify, Masterclass) — Most important: ongoing engagement/retention of content consumption
- Software subscriptions (e.g. Duolingo, Calm, Strava) — Most important: activation / getting users to quickly experience value
- Physical Goods subscriptions (e.g. Stitch Fix, Ipsy) — Most important: delivering the product/service profitably (unit economics)
Content, Community, Commerce Flywheel (Laura Modi)
A D2C growth strategy that flips the traditional commerce-first model.
How it works: Prioritize building thought leadership and SEO through content (e.g., launching an educational blog like Milk Drunk), foster a community around that content, and let commerce naturally follow to reduce reliance on paid acquisition.
DoorDash First Principles Growth Framework (How to kickstart and scale a marketplace business)
DoorDash's approach to always coming back to fundamentals when diagnosing growth problems.
How it works: Quote: 'Everyone's always looking for the hack - what's the channel that will unlock something big? But every time we looked for a reason we weren't growing, it always came back to the basics.'
The three fundamentals:
- Selection — breadth and quality of supply/options available
- Delivery quality — the core service experience
- Pricing — cost to the consumer
'That's it. Always come back to first principles. Whenever we made a mistake, we forgot this.'
Duolingo User Engagement Bucket Model (MECE Growth Model) (How Duolingo reignited user growth)
A closed-circuit user segmentation model where every user who has ever used the product is in exactly one bucket on any given day, with arrows representing daily retention rates between buckets. Used to model DAU, WAU, and MAU and run sensitivity analyses.
How it works: DAU Buckets (active today):
- New users: first day of engagement ever in the app
- Current users: engaged today and at least one other time in the prior 6 days
- Reactivated users: first day of engagement after being away for 7-29 days
- Resurrected users: first day of engagement after being away for 30+ days
Inactive Buckets: 5. At-risk WAU: inactive today, but active in at least one of the prior 6 days (At-risk WAU + DAU = WAU) 6. At-risk MAU: inactive in the past 7 days, but active in at least one of the prior 23 days (At-risk MAU + WAU = MAU) 7. Dormant users: inactive in the past 31+ days (MAU + dormant users = Total user base)
Retention Rate Arrows (daily):
- CURR (Current User Retention Rate): chance a user comes back today if they came each of the past two days/weeks
- NURR (New User Retention Rate): chance a user comes back today if they were new yesterday
- RURR (Reactivated User Retention Rate): chance a user comes back today if they reactivated yesterday
- SURR (Resurrected User Retention Rate): chance a user comes back today if they resurrected yesterday
- iWAURR (inactive WAU Reactivation Rate): rate at which at-risk WAU users reactivate
- Plus additional rates for movement between all buckets
Key Properties:
- Buckets are MECE (mutually exclusive, collectively exhaustive)
- Top 4 buckets sum to DAU
- Model is nearly closed-circuit (new users are the only external input)
- Take daily snapshots to create historical data
- Run forward-looking simulations by moving a single rate 2% per quarter for 3 years while holding others constant
Key Finding: CURR had 5x the impact on DAU of any other metric. CURR's impact on DAU was 6x its impact on MAU. Current users who stay active return to the same bucket, creating a compounding effect.
Duolingo's Free-to-Paid Growth Revenue Loop (How to win in consumer subscription)
Duolingo's flywheel model for growing through a generous free tier rather than gating content
How it works: The loop: Building a free and fun product → more users → more subscribers → more resources to improve product → more users.
Key principle: Offer all core content for free. Only monetize additional features (no ads, unlimited health, etc.).
Rationale: Most B2C subscription products limit the free user experience heavily to grow subscribers. This slows organic growth because only payers can use your product and tell their friends. By making the product free to use, you create an organic growth engine.
Operating principle: 'Take the long view' — If something works short-term but hurts long-term, it's not right. Example: Confusing subscription pricing might boost short-term revenue but loses user trust.
Ecosystem Flywheel (Ecosystem is the next big growth channel)
A flywheel model showing how ecosystem partners create a self-reinforcing growth loop: partners create and distribute content → you amplify and repurpose → drives greater reach and credibility → new customers and partners come on board → cycle strengthens.
How it works: The Ecosystem Flywheel has these stages: 1) Ecosystem partners (creators, communities, integration partners, customers) create and distribute content about your product. 2) You amplify and repurpose their efforts across your own channels. 3) Together you drive greater reach and credibility than either could alone. 4) New customers and partners are attracted and come on board. 5) The cycle strengthens with each turn. The flywheel turns your ecosystem into a powerful extension of your GTM team. Key principle: the growth unlock doesn't come from any one activity on its own—it emerges when you properly implement the overarching strategy across multiple partner types.
Eventbrite's Free-to-Paid Supply Loop (How to Kickstart and Scale a Marketplace Business – Part 3: Cracking the Chicken-and-Egg Problem 🐣 - Growing Initial Supply)
A multi-step growth loop where free product usage drives supply awareness and converts free users into paying supply
How it works: Loop 1: Free Viral Loop (drove 34% of supply-side awareness/acquisition)
- Free product attracts creators who try the product for free events
- Free creators later host paid events, converting to paid users
- 17% of creators who produced a free event went on to host a paid event within 12 months
Loop 2: Attendee-to-Creator Loop
- Attendees (demand side) become event creators (supply side)
- Invested in product features that strengthened this conversion
Loop 3: UGC/SEO Loop
- Creators build event pages with user-generated content
- Creators link to their Eventbrite event pages from their own websites
- Eventbrite event pages rank well in SEO (boosted by external links)
- These pages also create content for and funnel link value to category SEO pages (e.g., 'San Francisco events')
- This drove both demand AND supply acquisition
All three data points were included in Eventbrite's public IPO filing.
Fast and Steady Growth Approach (Lessons on building a viral consumer app: The story of Saturn)
Saturn's growth philosophy of prioritizing healthy, enduring, long-term growth at the community level over explosive but unsustainable spikes
How it works: Core principle: Prioritize healthy, enduring, long-term growth at the community level, and build features that support this growth by solving real user problems.
What this means in practice:
- Skip features that may throw off faster growth but would not meaningfully improve the actual user experience
- Accept that getting a consumer product right takes time and constant iteration
- Be patient—knowing that each year brings a new cohort (in Saturn's case, freshmen) who arrive more excited about the product than the previous class
Contrasted with:
- Apps that rocket to the top of charts virtually overnight with novel social use cases but 'have almost universally failed to establish themselves for the long term'
- TikTok's approach: years, multiple iterations, hundreds of millions of dollars in paid ads, and various acquisitions to nail their growth mechanic
Key insight about competition: Major apps like Facebook, Instagram, and TikTok are at such scale that ambient activity in their networks throws off tens of thousands of installs per day. That's your competition for both users' attention and chart positions.
TAM awareness: If you're not looking at a massive TAM, you will start thinking about expanding your TAM faster than you'd expect. Be ready for that, and build a product that can be modified quickly to start expanding into new markets.
Flywheel Archetypes (Flywheels, flywheels, flywheels)
A set of common flywheel patterns that businesses tend to follow, useful for identifying which archetype your business might fit
How it works: Referenced from futureblind.com/2019/08/03/advantage-flywheels/ — a visual showing different flywheel archetype patterns. Lenny recommends using these as inspiration for the types of flywheels you may discover in your business. Categories include different loop structures common across business models.
Flywheel Brainstorming Framework (5 Categories) (Flywheels, flywheels, flywheels)
A structured brainstorming approach to identify the components of your business flywheel by listing items across five categories, then finding connections between them
How it works: Step 1: Write out answers to these five questions:
- What are the core ASSETS of your business? (e.g. cars, content, hardware devices)
- What are the core ACTIONS users take? (e.g. signing up, inviting friends, purchasing)
- What are the core NEEDS of your users? (e.g. something to watch, a ride, discounts)
- What are the natural OUTPUTS of your business? (e.g. content, revenue, invention)
- What are the biggest OPTIMIZATIONS to your business model? (e.g. lower costs, better data)
Step 2: Write these out, whatever comes to mind. Don't overthink it.
Step 3: Look at the list and find items that DIRECTLY DRIVE another item.
Step 4: See if you can create a loop that connects a handful of these.
Step 5: It's totally fine if it's messy and random at first. Play around with the list and see if anything interesting emerges.
Example (Uber):
- More drivers (asset) → more coverage (optimization)
- More coverage (optimization) → faster pickups (need)
- Faster pickups (need) → more riders (asset)
- More coverage → less downtime (optimization)
- Less downtime → lower prices (need)
Four Growth Engines Framework (How to increase virality)
A framework for identifying which of four core growth engines is the best fit for your product, based on product characteristics
How it works: Four growth engines with criteria for fit:
-
Virality — Natural fit if:
- Your product is better with friends or colleagues (e.g. Snapchat, Slack)
- The product is innately fun or rewarding to share (e.g. travel photos, homes for sale, incidents nearby)
- Your product is remarkable — something worth remarking about
-
Performance Marketing — Natural fit if:
- You generate revenue directly from new users (e.g. purchasing a product, subscribing to a service), which you can then use to fund more marketing
- Customers are not naturally going to be looking for your product, and thus you have to come to them (e.g. a new DTC brand)
-
Content — Natural fit if:
- Your users naturally generate public content (e.g. reviews or answers to questions) when using your product, which you can use to attract new users
- You have a lot of unique data (e.g. restaurants in Seattle, plumbers in Phoenix), which you can turn into rich auto-generated pages
-
Sales — Natural fit if:
- Customers have high average order values and high LTV
- Your product requires hand-holding to be successful with
Key insight: Most companies find the vast majority of their growth from just one engine. Until you've scaled your core engine, optimizing a secondary engine is rarely time well spent.
Four Paths to Consumer Success (What is a good growth rate)
A taxonomy of four different growth trajectories for successful consumer companies, showing there's no single path
How it works: Path 1 - GREAT → GREAT: Grew quickly out of the gate and maintained growth. Examples: Instagram, Twitter, Dropbox. Pattern: 1M users within months of launch → 10M within 1-2 years → 100M within 1-2 more years. Path 2 - GOOD → GREAT: Started out good but hit key unlocks creating step-function growth. Examples: Uber (UberX unlock), Gmail (leaving invite-only), RecRoom (Oculus platform). Pattern: Gmail took ~3 years to 20M users, ~4 more to 200M, then crossed 1B via Android bundling. Path 3 - AVERAGE → GOOD → GREAT: Several years to first 1M users, then exponential. Examples: Roblox, Pinterest, Notion. Pattern: Slow to 1M users, then 10M quickly, then continued exponential climb. Path 4 - GREAT → GOOD → ?: Grew quickly but decelerated. Examples: Yik Yak, possibly Clubhouse. Pattern: Fast initial growth followed by deceleration. Key insight: It's less about timing and more about when (and if) you hit real inflection.
Fuel-to-Engine Mapping (The Racecar Growth Framework—expanded and illustrated)
Maps the three types of fuel to the growth engines they power.
How it works: Content → drives SEO engine Users → drive Virality engine Capital → drives Paid Ads and Sales engines
Tactical approach: Work backward from your engine to determine the right fuel to invest in.
GTM Growth Sequence Patterns (All the ways to grow your product)
Five real company examples showing the specific sequence of growth tactics used from launch through scale, demonstrating how companies layer growth levers over time
How it works: Instacart: Press + physical placement → Virality (WOM) → Geo-expansion → Virality (WOM) + Paid
Tinder: Go where target audience hangs out (college campuses) → Enlist influencers → Geo-expansion to new schools → Virality (WOM)
Facebook: Friends → Virality (WOM) within one school → Geo-expansion to new schools → Virality (inviting)
Spotify: Influencers + press → Virality (inviting) → Geo-expansion (U.K., EU) → Virality (WOM) + Paid
DoorDash: Targeted strangers + physical placement → Geo-expansion → Paid + Sales + Supply drives demand
Pattern: Geo-expansion normally happens post-PMF but before the growth engine is at full steam.
Growth Engine Loop Mechanics (The Racecar Growth Framework—expanded and illustrated)
Detailed loop descriptions for each of the four growth engines showing the self-reinforcing cycle.
How it works: 1. SEO Loop: You (or users) create content → People discover content while searching (Google, YouTube, TikTok) → They become users → More users leads to more content 2. Paid Ads Loop: You run ads (FB, AdWords, YouTube, billboards, buses, direct mail, TV, podcasts) → Ads drive users → Users generate revenue → Revenue funds more ads 3. Sales Loop: You hire salespeople → Salespeople get customers → Customers drive revenue → Revenue funds hiring more salespeople 4. Virality Loop: User signs up → User enjoys product and shares (word of mouth, in-product invites, content sharing, incentivized referrals) → Friend signs up and shares with their friends
Growth Equation (Growth ideas)
A simple formula for thinking about net user growth that highlights resurrection as a lever
How it works: Growth = New Users + Resurrected Users - Churned Users
This equation highlights three levers: acquiring new users, resurrecting churned users, and reducing churn. Many teams focus only on new user acquisition but neglect resurrection as a growth channel.
Growth Loops (Elena Verna 3.0)
A mental model for sustainable growth where an action generates a reaction that generates another action, creating a self-contained flywheel.
How it works: Used to move away from traditional funnel thinking. Focuses on how one cohort of users directly leads to the acquisition or activation of the next cohort.
Growth Model (Math Formula of the Business) (Setting goals)
A framework for mapping all the levers that drive your north star metric, ensuring they add up to 100% of what drives the business
How it works: Start with your north star metric (e.g., nights booked, revenue, subscriptions). Break it down into the set of levers that move it. When done right, all levers add up to 100% of what drives the business. This is essentially the math formula of your business. Use it to:
- Understand where your biggest opportunities are
- Identify the largest constraint or bottleneck
- Determine which lever, if moved, would unlock the most growth Example structure (Airbnb): Nights Booked = f(Demand, Supply, Dynamics) Demand = f(Site Visits, Conversion, Cancellation Rate) Supply = f(New Listings, Listing Quality, etc.)
Growth Model Framework (Growth Levers × Growth Motions) (Six rules of hiring for growth)
A framework for defining your company's growth model by combining growth levers (acquisition, retention, monetization) with growth motions (product-led, sales-led, marketing-led, support-led, community-led, etc.). The unique combination, layering, and sequencing creates a predictable, sustainable, and defensible growth strategy.
How it works: Growth Levers (rows):
- Acquisition: How do you acquire customers?
- Retention: How do you activate and engage your customers?
- Monetization: How do you monetize your customers?
Growth Motions (columns):
- Product-led: Product is accountable for the output by engaging customers in product actions
- Sales/Success-led: Sales team engages customers in actions that result in the growth lever output
- Marketing-led: Marketing engages customers in actions that result in the growth lever output
- Support-led
- Community-led (and others)
Mix and match: You can be marketing-led in acquisition, product- and sales-led in monetization, and product-led in retention. Layer and sequence motions across levers.
Examples:
- Product-led Acquisition: Miro — customers invite colleagues to collaborate, acquiring new users
- Product-led Retention: SurveyMonkey — notifications about new survey responses trigger re-engagement
- Product-led Monetization: Netlify — feature wall for site password protection drives self-serve conversion
- Sales-led Acquisition: Outbound discovery of decision makers for demo/trial
- Sales-led Retention: QBRs communicating value delivered
- Sales-led Monetization: Nurturing to contract signing
- Marketing-led Acquisition: Organic/paid on Google, Facebook, Twitter
- Marketing-led Retention: Email lifecycle campaigns
- Marketing-led Monetization: Retargeting and messaging nurture
Growth Strategy Physics Model (Crystal W)
A mental model for identifying growth levers by mapping business constraints.
How it works: Step 1: Define the physics (Market, Product, Model, Channel). Step 2: Evaluate if growth loops fit into these physics or require changing too many variables. Focus on changing one small thing at a time within existing constraints.
Intra-Organization Virality Metrics Framework (The most important bottom-up SaaS metrics to track (and how to best visualize them))
A set of metrics specifically designed to measure how a bottom-up SaaS product spreads organically within companies
How it works: Core metrics:
- Invite rate: % of new users who sent at least one invite in the first X days
- Invite conversion rate: % of users who receive an invite that sign up in the next X days
- Virality factor: % of new users who have come from an invite
Advanced metrics:
- Invite volume: When an invite was sent, median number of invites sent per user
- Velocity of virality: Median days from 1 → N seats at a company
- Traction: Number of total companies with at least 3 users signed up
- Leads: Top domain names with most users (to target outreach)
This framework separates intra-org virality from general top-of-funnel growth, reflecting that bottom-up SaaS products grow by spreading within organizations before expanding across organizations.
Kindle vs. Fire Growth Strategies (Casey Winters)
A model for sequencing startup growth tactics.
How it works: Kindle strategies: Non-scalable hacks to get early users (done by founders). Fire strategies: Scalable loops like sales, viral, or paid (done by growth hires). Kindle strategies exist solely to unlock Fire strategies.
LTV-First Growth Strategy (Tom Conrad)
Choosing to optimize lifetime value of organic users rather than spending on top-of-funnel paid acquisition, particularly for consumer subscription apps
How it works: At Zero: 1) Chose not to compete on paid acquisition when competitors were raising hundreds of millions for UA, 2) Focused on optimizing value of organic traffic, 3) Drove growth through LTV expansion rather than top-of-funnel expansion, 4) Built comprehensive financial models aggregating data from BI tools and subscription transactions, 5) Used models to identify highest-leverage optimization points across the full funnel (install → registered → trial → paid → retained). Result: double-digit growth even post-pandemic when health/fitness category declined.
Lenny's 5-Point Argument on Virality (Virality is a myth (mostly))
A structured argument about how virality actually works in product growth
How it works: 1. True virality rarely exists. 2. When it does, it's very short-lived, and quickly reverts to linear (or worse) growth. 3. When we see a product going 'viral,' it's very rarely driven by a many-to-many spread, but is instead the result of someone with a large audience broadcasting it (i.e. one-to-many). 4. Even though products don't grow virally for long, it's still absolutely worthwhile to optimize mechanisms of virality (e.g. word of mouth, invites, referrals, a remarkable product), since that can drive ongoing (free) growth. 5. At the same time, to ignite (and re-ignite) moments of 'virality,' you'll need to invest in getting large one-to-many broadcasts. For example, PR, influencers, TV.
Lenny's Growth Strategy Stack (The Best of Lenny’s Newsletter 2021)
A comprehensive map of growth strategy topics covering the full growth lifecycle from first users to scaling
How it works: 12 growth strategy topics organized as a stack: 1. First user/customer acquisition (consumer: first 1,000 users; B2B: first 10 customers) 2. Retention improvement 3. Conversion improvement 4. Virality 5. Referrals programs 6. Content-driven growth 7. SEO 8. Growth frameworks (Racecar Growth Framework) 9. Growth loops 10. Hiring for growth 11. Breaking into growth as a career. This represents Lenny's complete mental model of what growth strategy encompasses.
Low/Medium/High Growth Portfolio (Laura Schaffer)
A method for communicating growth team bets to executives over a yearly timeline.
How it works: Categorize yearly initiatives into: Low (safe bets validated previously), Medium, and High (moonshots/lightning in a bottle that could fail but have massive upside). This prevents stakeholders from expecting weekly metric jumps.
Magical Growth Loops Taxonomy (Magical growth loops)
A 4-type classification of growth loops where existing users recruit new users, each with active and passive sub-types. Used to brainstorm and identify latent growth loops in your product.
How it works: Type 1: Supply driving demand — Supply-side users bring demand-side users. Works for marketplaces (DoorDash, Faire, Etsy, Cameo, Instacart) and platforms (Substack, Kickstarter) and hybrids (Eventbrite, Ritual, Product Hunt, OpenTable). Key requirement: supply has clear motivation to bring demand.
Type 2: Demand driving supply — Demand-side users bring supply-side users. Two sub-types: (a) Actively — demand invites supply (Faire retailers inviting vendors, AngelList syndicate leads sharing deals), (b) Passively — demand converts to supply as a by-product (Uber riders becoming drivers, Airbnb guests becoming hosts).
Type 3: Demand driving demand — Often called 'virality' but has three sub-types: (a) Actively for free — users invite others to use the product (Figma inviting co-workers, Snapchat inviting friends, Dropbox sharing folders, WhatsApp inviting contacts), (b) Actively for incentive — referral programs (Dropbox bonus storage, Airbnb/Uber referral credits), (c) Passively — new users discover product as by-product of usage (Zoom meeting links, PayPal money transfers, Intercom widget on websites, Superhuman email signature, Google Docs shared links, Instagram cross-posts).
Type 4: Supply driving supply — Supply-side users bring other supply-side users. Two sub-types: (a) Actively — supply invites new supply via referral program (Airbnb host referrals, Uber/Lyft driver referrals), (b) Passively — users see product in action and become supply (Typeform survey takers creating their own surveys, Eventbrite attendees becoming hosts, Substack readers becoming writers, Facebook Marketplace viewers becoming sellers, Product Hunt users becoming launchers).
Market Archetype Segmentation (Marketplace city expansion strategy)
Snackpass's approach to selecting expansion markets by choosing different archetypes to validate broad applicability
How it works: Instead of only expanding to similar cities, select markets that represent different archetypes:
- College towns
- Suburban/rural
- Urban
By having multiple archetypes rather than the same type, you gain confidence that your marketplace will succeed beyond one type of market. This is particularly useful for proving out TAM and product versatility before major fundraising.
Maximum Customer Ceiling Formula (Jason Cohen)
A mathematical formula to determine the maximum size a company can reach based on current marketing and churn rates.
How it works: Maximum Customers = (Number of new customers added per month) / (Monthly cancellation rate percentage). Example: 100 new customers / 0.05 churn = 2,000 maximum customers.
Mid-Stage Growth Accelerants (All the ways to grow your product)
A category of growth levers that are rarely useful in early stages and aren't growth engines, but significantly accelerate growth when used at the right moment
How it works: Two mid-stage growth accelerants:
- Channel partnerships: Getting distribution through someone else. Game-changing when it works but normally goes nowhere or takes too long. Treat as high-risk/high-reward — put some resources into it but don't expect it to work out.
- Geographic expansion: Doing the same thing in more places. One of the biggest growth accelerants available but can only be done once. Best timing is post-PMF but before growth engine is at full steam.
These differ from kickstarts (which are for early users), growth engines (which are self-sustaining loops), lubricants (which are optimizations), and turbo boosts (which are one-off spikes).
Musical.ly's 'Peasants from Europe' Platform Migration Model (Sriram and Aarthi)
The Musical.ly/TikTok founder's analogy for social platform migration: new platforms attract the underperformers from existing platforms who want a fresh chance to succeed
How it works: Existing successful platforms are like 'Europe' — the people you can convince to move to 'America' (your new platform) are not the kings (already successful creators) but the peasants (underperforming creators who want a new opportunity to rise). Target people not doing well on other platforms who are hungry for a fresh start, not people already killing it elsewhere.
Network Size Spectrum (Launch Strategy Selector) (The Atomic Network)
A spectrum for determining launch strategy based on the minimum number of users needed for an atomic network to function, ranging from small (viral/bottom-up) to large (top-down enterprise).
How it works: Small minimum network size (e.g., 2-10 users):
- Products: Telephone, Snapchat, Zoom
- Strategy: Viral growth—get each new user to find or invite a friend
- Pros: Stickiest, fastest-growing products
- Cons: Low barrier means competitors can easily replicate (explains why there are so many messaging apps)
Large minimum network size (e.g., hundreds+ users at once):
- Products: Workday, enterprise-wide tools
- Strategy: Top-down enterprise sale mandating company-wide usage
- Pros: Higher barrier to competition
- Cons: Viral growth strategy is difficult; can't dribble in users; requires company-wide coordination
Medium/variable network size:
- Products: Marketplaces (Uber), social networks (Facebook)
- Strategy: City-by-city, campus-by-campus, or team-by-team buildout with short-term boosts/growth hacks
PLG Funnel Math Model (Product-led marketing)
A quantitative model for calculating expected revenue per unique visitor in a PLG/freemium business, establishing the CAC ceiling
How it works: For an average freemium PLG product with 1,000 daily unique visitors:
- 60 free signups (6% visitor-to-signup conversion rate)
- 3 paying customers (5% signup-to-paid conversion rate)
- $10-$100/month average initial spend for self-service customers
- 30-60 day conversion window from free to paid
- Result: $1-$2 first-year revenue per unique visitor
- Implication: CAC must stay below $1 per unique visitor
- Note: This doesn't account for churn (high for single-user accounts) or costs to serve (salaries, support, cloud, sales commissions)
- Benchmark: Traditional B2B CPC is $1-$5 per click
Product-Channel Fit (Top 5 most interesting things about Booking.com's early growth strategy – Issue 46)
A reframing of Product-Market Fit that emphasizes building the entire organization around serving customers from your primary acquisition channel
How it works: Core question: How can you create a product / company / organization where the machinery of the org is built to fulfill the needs of the customer from that channel?
Booking.com's application:
- Identified Google AdWords as primary channel (high purchase intent searchers)
- Built conversion optimization and A/B testing as core competency
- Each A/B test that increased bookings improved marketing campaign performance
- Conversion improvements had three effects:
- Made unviable campaigns viable (expanded addressable market)
- Improved competitiveness of existing campaigns
- Further improved ROI on campaigns where already #1 (freeing margins for new frontiers)
- By 2012: 100+ concurrent experiments, idea-to-live in same afternoon
Quick Ratio for SaaS (The most important bottom-up SaaS metrics to track)
A formula to measure the health of SaaS revenue growth by comparing revenue gains to revenue losses
How it works: Quick Ratio = (New MRR + Expansion MRR) / (Contraction MRR + Churned MRR)
A higher ratio means growth is more efficient and sustainable. Generally:
- Quick ratio > 4 = very healthy
- Quick ratio 2-4 = good
- Quick ratio < 2 = concerning
Racecar Framework (Elena Verna 3.0)
A model for categorizing growth initiatives into four distinct parts of a racecar.
How it works: Divides growth work into: Engines/Loops (sustainable flywheels), Fuel (paid marketing/capital), Turbo Boosts (one-off events like conferences), and Lubricants (conversion rate optimizations).
Racecar Growth Framework (Kickstarting and scaling a consumer business—Step 6: SCALE: Build your growth engine, The Best of Lenny’s Newsletter 2023)
A mental model that maps the components of a racecar to the components of a growth strategy
How it works: The Racecar Growth Framework has 4 components:
-
THE (GROWTH) ENGINE - Self-sustaining growth loops that drive most of your growth. One of: virality, paid growth, SEO, or sales.
-
TURBO BOOSTS - One-off events that accelerate growth temporarily but don't last. Examples: press coverage, influencer posts, events, Super Bowl commercials, brand campaigns. These are essentially the 7 kickstarting tactics plus additional large-scale tactics.
-
LUBRICANTS - Optimizations that make the growth engine run more efficiently. Four categories: a. Conversion: Increasing % of users who get through your flows b. Retention: Improving % of customers who continue using your product (most important) c. Activation: Increasing rate at which customers experience meaningful value d. Brand marketing: Stronger brand makes it easier to convert fence-sitters
-
FUEL - The input your engine requires to run: a. Money: For paid marketing and sales engines (measured by payback period) b. Content: For SEO/content engines (user-generated or company-created) c. Users: For viral engines (measured by K-factor; >1 = viral growth)
Without enough lubrication, your engine will stop. Without fuel, it won't run.
Racecar Growth Framework (Kickstarts component) (What to do if your product isn’t taking off)
A growth framework that includes 'kickstarts' (unscalable tactics for first 1,000 users), 'turbo boosts,' and scalable growth engines
How it works: Three components of the Racecar Growth Framework relevant to early-stage:
- Kickstarts: Unscalable tactics for acquiring your first 1,000 users. These are one-time or hard-to-repeat actions.
- Turbo Boosts: Growth accelerators that provide temporary spikes.
- Growth Engine: The scalable, repeatable growth mechanism you build once you have traction.
Warning from Lenny: Many founders assume distribution is the problem—that people just haven't heard about them yet—and put all efforts into 'growth.' Most likely this is NOT the problem. But it's still worth a shot.
References 60+ growth ideas list for tactical inspiration.
Racecar Growth Framework - Virality + Turbo Boosts (Virality is a myth (mostly))
Referenced framework showing how virality mechanisms and broadcast events work together
How it works: From the Racecar Growth Framework: virality and turbo boosts go together like peanut butter and jelly.
- Virality mechanisms (the engine): word of mouth, invites, referrals, remarkable product. These raise your k-factor.
- Turbo boosts (the fuel): PR, influencers, TV appearances, events. These are one-to-many broadcasts.
The higher your k-factor, the more juice you get from each broadcast. But you'll get no juice if you don't find a way to get your product in front of a huge number of people at once.
Two-part action plan:
- Continue investing in mechanisms of virality
- More importantly, invest in a strategy of ongoing one-to-many broadcasts
Racecar Growth Framework — Complete Growth Taxonomy (All the ways to grow your product)
A comprehensive framework that categorizes every way to grow a product into five components: Kickstarts (7 tactics), Growth Engines (4 loops), Lubricants (4 optimizations), Turbo Boosts (10 tactics), and Mid-Stage Growth Accelerants (2 levers). Originally from Reforge, extended by Lenny.
How it works: 1. Kickstarts (get your engine rolling with early users):
- Reaching out to friends and colleagues (e.g. emailing friends)
- Reaching out to targeted strangers (e.g. DM'ing celebs)
- Going where your target audience hangs out (e.g. college campuses, Reddit)
- Enlisting influencers (e.g. people with large Twitter followings)
- Getting press
- Creating viral content
- Getting physical placement (e.g. flyers, stickers, signs)
2. Growth Engines (self-sustaining growth loops):
- Paid ads
- SEO
- Virality (WOM, sharing, invites, referral programs)
- Sales
3. Lubricants (optimizations that make engines run more efficiently):
- Conversion
- Retention
- Activation
- Brand
4. Turbo Boosts (one-off growth spikes that quickly fade):
- PR (e.g. Snapchat Spectacles launch)
- Viral content (e.g. Dollar Shave Club video)
- Influencer posts (e.g. Kylie Jenner and Casper)
- Marketing campaigns (e.g. contest, giveaway, billboards)
- Co-marketing campaigns (e.g. Uber and Spotify)
- Events (e.g. Hinge launch party)
- Stunts (e.g. Half.com renaming a town)
- Mini product launches (e.g. Calm's donothingfor2minutes.com)
- Getting featured by a highly trafficked platform (e.g. Amazon on Yahoo's homepage)
- Creating controversy (e.g. DHH vs. Apple)
5. Mid-Stage Growth Accelerants (rarely useful early, but significantly accelerate growth at the right moment):
- Channel partnerships — getting distribution through someone else
- Geographic expansion — doing the same thing in more places
S-Curves and Layering Growth Engines (Kickstarting and scaling a consumer business—Step 6: SCALE: Build your growth engine)
The concept of layering additional growth engines on top of your primary one as it plateaus over time
How it works: Over time, most companies layer on an additional engine (usually paid growth, sometimes SEO) in order to continue to grow while their initial growth engine plateaus. This follows the S-curve concept where each growth channel has a natural ceiling. Key principles:
- Start with one primary engine and become world-class at it
- As that engine matures and growth slows (S-curve plateaus), layer on additional engines
- Timing these investments correctly is critical
- The initial engine normally continues to drive the majority of growth
- Each new engine adds a new S-curve ('adding layers to the cake')
Example: Uber's end state was ~50% paid + 50% virality, but early days were mostly organic (30% referrals, 50-60% WOM).
Safety Funnel (Tanguy Crusson)
An inversion of the growth funnel where instead of maximizing users through the funnel, you deliberately limit exposure to prevent bad experiences that are hard to recover from
How it works: Instead of maximizing users through acquisition→activation→retention→revenue funnel, put a hard stop to limit number of users who can have bad experiences. Maintain this limit until you can prove the experience is amazing, then progressively invite more. Key insight: users who churn due to bad early experience are extremely hard to win back.
Series of S-Curves Growth Model (Virality is a myth (mostly))
A model showing that product growth is not a single exponential curve but a series of S-curves, each sparked by a broadcast event
How it works: Product growth follows a pattern of:
- A broadcast event occurs (PR hit, influencer mention, TV appearance, major event)
- This sparks a short burst of accelerated growth (the steep part of the S-curve)
- Viral spread from this event quickly plateaus (the top of the S-curve)
- Growth flattens until the next broadcast event
- Repeat
Example - Clubhouse:
- May 2020: 1,500 users
- End of 2020: 600,000 users (driven by Naval and Marc Andreessen hosting sessions)
- January 2021: 2 million users (Elon Musk joined)
- February 2021: 10 million users
- Then growth flatlined without new broadcast events
Implication: You need a continuous pipeline of broadcast events to sustain growth.
Signup Quality Over Volume Framework (How to make an impact in your first 90 days)
A framework for identifying which signups actually drive revenue and hyperfocusing on that cohort, even at the expense of total volume
How it works: Key insight: Only 20-30% of signups actually matter in most products. Most CEOs focus on scaling total signup volume, but the goal should be non-linear growth in business metrics.
Steps:
- Segment your signups by revenue potential
- Identify which 20-30% are driving or may drive revenue
- Hyperfocus on growing that specific cohort
- Accept that overall signup volume may go down
- Reallocate budget and team to the right areas
Benefit: Drive efficiency instead of trying 100 things to grow top of funnel.
Six Growth Levers Framework (Growth ideas)
A categorization of growth ideas into six distinct levers, providing a complete map of where growth can come from
How it works: The six levers:
- Top-of-funnel (short-term) — Tactics for immediate awareness and acquisition
- Top-of-funnel (long-term) — Sustainable, compounding acquisition channels
- Monetization — Revenue per user optimization
- Conversion and activation — Turning visitors into active users
- Retention — Keeping users engaged and reducing churn
- Team velocity — Execution speed as a growth multiplier
This maps roughly to the pirate metrics (AARRR) framework but adds team velocity as a distinct lever and splits acquisition into short-term and long-term.
Six Pillars of Consumer Subscription Success (The most important consumer subscription metrics to track)
A framework that breaks down the six things a consumer subscription business must nail, each with associated metrics, to build a healthy business
How it works: Six pillars:
- 📈 Acquire new users sustainably — Metrics: Free user growth (>20% MoM is great), Payback period (<6 months is great), Virality (>1.0 is great), ROAS (>4:1 is great)
- 🤯 Get new users to quickly experience your value [Most important for Software] — Metrics: Activation rate (% of free/trial users hitting a valuable milestone in first X days), Total number of activated users
- 😍 Make sure users continue to find value [Most important for Content] — Metrics: Monthly/weekly active users, Cohort engagement (% still doing something valuable X weeks later), Intensity of engagement (L7/L30 for software, time spent for content)
- 🤑 Make sure users decide to pay — Metrics: Cohort conversion from free to paid (broken by monthly/annual), Revenue growth (MoM from first-time purchasers), Velocity (median time to convert), Length (monthly vs. annual split)
- 💸 Make sure paying users continue to pay — Metrics: Cohort retention (>70% at 6 months is great), Second-order retention, Subscriber growth (>20% MoM is great), Resurrection rate
- 🚚 Deliver the product/service profitably [Most important for Physical Goods] — Metrics: Gross margins per order, Contribution margin, Contact rate, ARPU
Startup = Growth Definition (Essential reading for product builders—part 2)
Paul Graham's canonical definition that a startup is defined solely by its growth rate, not its technology, funding, or exit strategy.
How it works: A startup is a company designed to grow fast. Key distinctions:
- Being newly founded does NOT make a company a startup.
- Working on technology is NOT required.
- Taking venture funding is NOT required.
- Having some sort of 'exit' is NOT required.
- The ONLY essential thing is growth.
- Everything else we associate with startups follows from growth.
Status as a Service (Eugene Wei) (Sriram and Aarthi)
Framework for understanding how new social networks attract users by offering high-status positions to people underserved by existing platforms. New networks are like new countries that attract the 'peasants' from established platforms, not the 'kings.'
How it works: Key principles: 1) New networks need high-status people (interesting, smart, cool, good-looking). 2) These people must be underserved by existing platforms — if they're well-served, they won't move. 3) Each platform has breakout stars unique to it (Snapchat/Kylie Jenner, Instagram/The Rock, TikTok/Charli D'Amelio). 4) You need both imported high-status people AND homegrown talent. Reference: Eugene Wei's 10,000-word essay 'Status as a Service.'
Steve Jobs' 3-Step Enterprise Growth Advice (Marc Benioff)
A strategic framework given to Marc Benioff to unblock Salesforce's early growth.
How it works: 1. Grow 10x larger in 24 months. 2. Sign a massive anchor customer (e.g., Avon). 3. Build an application economy (which led to the AppExchange/App Store).
T2D3 (Triple Triple Double Double Double) (What is a good growth rate)
The classic SaaS growth trajectory benchmark for best-in-class companies post-$1M ARR
How it works: After reaching $1M ARR, best-in-class SaaS companies follow this annual growth pattern: Year 1: 3x ($1M → $3M). Year 2: 3x ($3M → $9M). Year 3: 2x ($9M → $18M). Year 4: 2x ($18M → $36M). Year 5: 2x ($36M → $72M). Caveat from John Luttig: This rule loses relevance at late stage ($50M+ ARR), where growth should be benchmarked against category peers and contextualized with capital efficiency.
The 5-Question Stalled Growth Diagnostic (Jason Cohen)
A sequential checklist to diagnose why a product's growth has stopped.
How it works: 1. Are customers leaving? (Logo churn) 2. Is the pricing correct? (Pricing/Positioning) 3. Are existing customers growing? (NRR) 4. Are acquisition channels saturated? 5. Do you actually need to grow?
The Atomic Network (The Atomic Network)
A framework for solving the cold start problem by identifying and building the smallest possible self-sustaining network, then replicating it. The atomic network is the smallest network needed that can stand on its own with enough density and stability to overcome early anti-network effects and grow organically.
How it works: Core concept: The atomic network is the smallest network that can stand on its own—the base unit upon which larger networks are built.
Key principles for building an atomic network:
- Launch the product in its simplest possible form (not fully featured) with a dead simple value proposition
- Target building a tiny, atomic network—the smallest that could possibly make sense—and focus on building density
- Ignore objections about 'market size' at this stage
- Execute with a 'do whatever it takes' attitude—even if unscalable or unprofitable—to get momentum
- Don't worry about how to scale yet
Examples of atomic network size:
- Slack: A single team of under 10 people in one company
- Credit cards: An entire city (retailers + consumers in a downtown commerce district)
- Uber: Not 'San Francisco' but '5pm at the Caltrain station at 5th and King St.'
- Facebook: A single college campus
- Workday: An entire company (requires top-down mandate)
Scaling pattern: Build one atomic network → Build a second adjacent one → Copy and paste into many markets
- Each subsequent network becomes easier because networks intertwine
- Slack: startup team → whole company → other startups → Fortune 500
- Facebook: one campus → friends at other campuses demand it → many campuses
The Four Fits Growth Framework (Essential reading for product builders—part 2)
A framework showing that sustainable growth requires four interlocking fits, not just product-market fit. Explains why great products can fail and terrible products can reach $1B+.
How it works: The four fits that must interlock for growth:
- Market-Product Fit: Does the product solve a real problem for a real market?
- Product-Channel Fit: Does the product work with the channels available to reach the market?
- Channel-Model Fit: Do the channels support the business model's economics?
- Model-Market Fit: Does the business model work for the market size and dynamics?
Building a great product is a piece of the puzzle, but far from the full picture. All four fits must align for sustainable growth.
The Racecar Growth Framework (60 ideas to boost your growth, The Best of Lenny’s Newsletter—2024 Edition)
A framework co-authored by Lenny and Dan Hockenmaier that maps business growth to four components of a high-performance race car, helping teams categorize and prioritize different types of growth efforts
How it works: Six components:
- Growth Engine (the engine) — Self-sustaining growth loop. Four types: SEO, Paid Ads, Sales, Virality.
- Kickstarts (pushing the car to get it started) — Unscalable tactics for first 1,000 users. Nine types: share with friends/colleagues, reach out to targeted strangers, go pitch where audience hangs out, enlist influencers, get press, create viral content, get physical placement, host an event, be first on a platform.
- Turbo Boosts (nitrous oxide) — One-off events that temporarily accelerate growth. Ten types: PR, viral content, events, influencer mentions, marketing campaigns, sponsor big events, viral mini-products, create controversy, get featured by platforms, go on TV/podcast.
- Lubricants (oil/grease) — Optimizations for engine efficiency. Five types: increase conversion, increase retention, increase brand awareness, increase activation rate, increase prices.
- Mid-stage Growth Accelerants (steep downhill slope) — Significant re-acceleration at scale. Three types: channel partnerships, geographic expansion, category expansion.
- Fuel (gasoline) — Input your engine runs on. Three types: content (drives SEO), users (drive virality), capital (drives paid ads and sales).
Sequencing guide:
- Stage 1 (just starting): Focus on Kickstarts + a few Turbo Boosts until Growth Engine drives majority of growth.
- Stage 2 (working engine): Invest in Lubricants + occasional Turbo Boosts.
- Stage 3 (meaningful scale): Explore 1-2 Mid-stage Accelerants.
- Stage 4 (engine asymptotes): Experiment with additional Growth Engine while lubricating existing ones.
- Stage 5 (continued growth): Layer additional business units, expand to new segments, grow within existing accounts.
The Subscription Value Loop (The Best of Lenny’s Newsletter—2024 Edition)
A framework for growing consumer subscription businesses
How it works: A framework specifically designed for consumer subscription businesses, focusing on the reinforcing loop between delivering value and retaining/growing subscribers.
Three Categories of Growth Inflections (Growth inflections)
A framework categorizing what precedes sudden growth inflections into three types, useful for diagnosing where to focus growth efforts
How it works: Three categories of growth inflection points:
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Product Improvements - Adding or improving features that unlock value. Most common source of growth inflections. Examples: Figma (Team Libraries), Snap (ephemeral messaging, Stories, face filters), Facebook (translations, mobile), Netflix (no due dates + subscription combo), Tinder (Android app), Duolingo (mobile apps), Airbnb (international expansion + translations), DoorDash (selection expansion), Lyft (surge pricing, driver onboarding, remote launches).
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External Events - Growth without product changes, driven by press, celebrity mentions, or cultural moments. Sometimes engineered, sometimes organic. Examples: Tinder (Sochi Olympics + Valentine's Day), YouTube (SNL + Ronaldinho viral videos), Cameo (Ronnie Radke), Clubhouse (Elon Musk), Discord (Reddit mention), Notion (WSJ article by David Pierce), Slack (tech press consensus), BeReal (anti-Instagram media narrative).
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Doubling Down on Primary Growth Engine - Leaning into core growth engine (SEO, virality, paid, sales). Potentially the most durable inflections. Examples: Airtable (SEO via templates), Pinterest (SEO funnel optimization), Dropbox (Space Race virality + Samsung partnership), PayPal ($20 referral program), Instacart (national retailer partnerships).
Key insight: Long-term sustainable growth requires all three—but it often starts with a single moment.
Three Consumer Growth Engines (Yuriy Timen, Kickstarting and scaling a consumer business—Step 6: SCALE: Build your growth engine)
Framework for categorizing how consumer subscription companies grow: (1) Paid acquisition (when LTVs are high, 5%+ free-to-paid conversion), (2) Viral/Referral loops (when inherent network effects exist or brand is beloved), (3) SEO (when programmatic, editorial, or data angles exist)
How it works: Consumer startups have only 3 feasible growth engines (sales is rarely economical for B2C):
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VIRALITY - Driven by word of mouth, sharing content, sending invites, or referral programs
- Fits if: You have to share the product to use it (Dropbox, PayPal, Cameo); Product is only fun when friends use it too (Snapchat, Facebook); Product is super-fun to share (Tinder, Airbnb, TikTok)
- Fuel: Users (measured by K-factor; >1 = viral growth)
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SEO - Driven by user-generated content or proprietary data creating indexable pages
- Fits if: Users produce lots of public content (Glassdoor, Quora, Reddit, Pinterest); You have proprietary data to generate thousands of pages (Yelp, Grubhub, Thumbtack, Tripadvisor); Competitors are having success with SEO (check Similarweb)
- Fuel: Content (user-generated or company-created)
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PAID MARKETING - Driven by profitable ad spend
- Fits if: You generate revenue directly from new users with short enough payback period; Customers are not naturally looking for your product (new DTC brands)
- Fuel: Money (measured by payback period)
Key insight: Most startups grow primarily through just ONE engine. A common pitfall is trying to invest in too many at once.
Three Growth Levers by Funnel Stage (for Trust-Dependent Products) (This Week #6: Cultivating good relationships with distributed co-workers, building trust to accelerate growth, and leveling up as a PM when you have extra time)
A funnel-stage growth strategy for products where trust is the primary barrier, with specific tactics for top, middle, and end of funnel
How it works: 1. Top-of-funnel — Referrals: For trust-dependent products, friend endorsements are the most powerful growth lever. Three key design principles: (a) the referrer has a meaningful incentive (cash or credits), (b) the program is easily discoverable, (c) the referral reward only pays out once the new user has hit a valuable milestone. Example: Airbnb referrals were the single biggest attributable growth lever on both sides of the marketplace.
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Mid-funnel — Landing Page(s): Build trust from the first moment a user visits the site. Leverage social proof, authority, guarantees, reputation, and great UX. Continue the trust message throughout the remaining experience. Identify what concerns people have at which stage of the flow and address them. Ensure the value prop is crystal clear. Show pages to real users, listen to reactions, and iterate indefinitely.
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End-of-funnel — Remind Users of Value: For 'set it and forget it' products (sign up, connect accounts, good things happen), find ways to remind users of the good you're doing and why they'd be fools for quitting. Example: Wealthfront and Betterment send regular emails showing lifetime interest earned.
Three Patterns for Winning in B2C Subscription (How to win in consumer subscription)
A framework of three core patterns that successful B2C subscription companies share, derived from studying 7+ companies
How it works: Pattern 1: Obsession with efficiency — Stay lean (under 10 people), focus on profitability and LTV/CAC, question every outgoing dollar, target one-month payback periods, don't hire aggressively until well past PMF.
Pattern 2: Alignment between product strategy and acquisition strategy — Determine your growth channel (paid ads, word of mouth, SEO, freemium) and ensure product roadmap actively supports it. Examples: Grammarly's browser extension strategy aligned with being everywhere; Duolingo's free content aligned with word-of-mouth growth; Noom's testing infrastructure aligned with paid acquisition.
Pattern 3: A magical, sticky product through rapid iteration and endless optimization — Build something 10x better than existing alternatives, use psychology/gamification/magic moments, run high-velocity experiments (up to 6/week/PM), accept 90% failure rate, measure DAU/WAU and DAU/MAU for habit formation.
Three Phases of Growth Channel Development (Yuriy Timen)
Model for how companies progress through growth channel maturity: kickstart, discover main engine, then diversify
How it works: Phase 1: Kickstart - trying many things to get traction. Phase 2: Discover primary engine - one channel drives 80%+ of growth, resist urge to diversify too early, double down until acquisition is no longer small. Phase 3: Diversify - carve out bandwidth to explore other channels. Key insight: Early-stage companies should be talked out of premature diversification; later-stage companies (50M+ ARR) with 90%+ reliance on one channel need to be pushed toward diversification.
Three Takeaways for Pursuing Growth Inflections (Growth inflections)
Lenny's three actionable takeaways from researching growth inflections across two dozen companies
How it works: 1. That one additional feature CAN indeed lead to a massive inflection in growth (though it usually won't) — don't dismiss the Next Feature Fallacy entirely 2. While you're working on improving the product, it's worth attempting to engineer an 'event' that gets your product in front of a lot of people, even before you think your product is ready 3. Long-term, the most lasting growth inflections happen when you lean into the primary growth engine (SEO, virality, paid, sales, partnerships)
Two Ways to Use Free for Growth (Freemium vs. trial)
Framework distinguishing two primary strategies for using free to drive growth in SaaS and beyond.
How it works: Strategy 1: Business Model Disruption — Give away the core product for free while making money in another way. Examples: Chime (fee-free banking, revenue from interchange fees), Robinhood (free trading, revenue from payment for order flow), Square (free PoS systems, revenue from transaction fees + lending/banking/payroll). Key insight: Find a way to make free a product that is currently not free.
Strategy 2: Lead Gen — Give prospects a taste of your product (freemium or trial) hoping they convert to paid. The lower friction of trying your product leads to more paying customers. Nearly every SaaS product uses this approach.
Key principle: Free is NOT a revenue/pricing/monetization strategy—it's an ACQUISITION strategy. It's always a means to lower CAC, increase virality, and get attention in a crowded market.
Understand, Identify, Execute (Naomi Gleit)
A three-step process for driving product growth through data instrumentation and targeted problem-solving.
How it works: 1. Understand: Instrument data to see exactly what users are doing. 2. Identify: Find the specific drop-offs or opportunities (e.g., 20% drop off at email confirmation). 3. Execute: Build product solutions to remove those specific micro-barriers.
Templates
3-Step Growth Loop Description Template (Magical growth loops)
A consistent 3-step format Lenny uses to describe each growth loop, which can be used as a template for documenting your own loops.
How it works: Step 1: [Company] recruits [user type A] Step 2: [User type A] does [action] that exposes [user type B] to the product Step 3: [User type B] signs up for [Company] and [additional benefit/discovery]
Example (Cameo):
- Cameo recruits celebrity
- Celebrity shares their Cameo profile with their fans
- Fans sign up for Cameo and discover other celebrities
Example (Zoom):
- Zoom recruits user
- User sends a meeting invite to co-worker with Zoom link
- Co-worker signs up for Zoom
Use this template to map out every possible growth loop in your product by varying who user type A and B are, and what the connecting action is.
Growth Model Miro Board Template (Six rules of hiring for growth)
A visual template for mapping out your growth model, hosted on Miro. Linked directly in the newsletter for founders to use.
How it works: URL: https://miro.com/app/board/uXjVMAQfsQg=/ — A sample template showing what a growth model could look like, mapping growth levers to growth motions with hypothesis tracking.
Payback Period Calculation Formula (What is a good payback period?)
The formula for calculating payback period correctly using gross profit rather than revenue
How it works: Payback Period (months) = CAC / Monthly Gross Profit. Where Monthly Gross Profit = Monthly Revenue × Gross Margin %. Example: CAC = $100, Monthly Revenue = $10, Gross Margin = 80%. Monthly Gross Profit = $10 × 0.80 = $8. Payback Period = $100 / $8 = 12.5 months. Common mistake: Using revenue ($100/$10 = 10 months) instead of gross profit ($100/$8 = 12.5 months). Warning: Do not include brand search in your paid campaigns bucket—that artificially lowers payback period.
SaaS Growth Model Structure (Dan Hockenmaier)
The three core building blocks needed to model a SaaS business in a spreadsheet.
How it works: 1. Acquisition channels (traffic, spend, conversion rate). 2. Retention (activation rate, monthly retention curve). 3. Monetization (monthly or annual fee).
Checklists
3-Step Growth Engine Validation Process (Kickstarting and scaling a consumer business—Step 6: SCALE: Build your growth engine)
A three-step process for validating, committing to, and scaling your chosen growth engine
How it works: Step 1: VALIDATE
- As cheaply as possible, validate that a given lane is right for your business
- Two approaches: (a) Determine which lane is a natural fit for your business model using the criteria framework, (b) Look at your existing data for signals
Step 2: COMMIT
- Once validated, commit to the lane fully
- Most companies underestimate how large and disciplined the effort needs to be
- Committing requires two things (both can be scary early on): a. Dedicating significant cross-functional resources (product, design, marketing, engineering) b. Influencing the core product roadmap and customer experience to optimize for the chosen lane
Step 3: SCALE
- Once committed and seeing meaningful results, become world-class at the lane
- The hallmark of this stage is overcoming diminishing returns
- Virtually every customer acquisition channel becomes harder over time as you acquire lower-intent customers
- May need to layer on an additional engine (usually paid, sometimes SEO) as initial engine plateaus
Duolingo Growth Model Sensitivity Analysis Process (How Duolingo reignited user growth)
Step-by-step process for identifying your most impactful growth lever using a user engagement model
How it works: Step 1: Segment all users into MECE engagement buckets (every user in exactly one bucket on any given day) Step 2: Define the retention/movement rates (arrows) between buckets Step 3: Take daily snapshots of data to create a history of how all buckets and rates have evolved day-by-day over several years Step 4: Create a forward-looking model using this historical data Step 5: Run a sensitivity analysis—simulate moving a single rate 2% every quarter for 3 years, holding all other rates constant Step 6: Compare the impact of each rate on DAU and MAU Step 7: Identify the rate with the biggest compounding impact (for Duolingo, CURR had 5x the impact of the second-best metric on DAU) Step 8: Set that rate as your North Star metric and create a dedicated team to move it Step 9: Review historical A/B tests to see if anything has inadvertently moved this metric before Step 10: If the metric hasn't moved historically, develop strategies from first principles
Five Lessons for Building a Viral Consumer App (Lessons on building a viral consumer app: The story of Saturn)
Saturn's five key strategic lessons distilled into actionable takeaways for consumer app founders
How it works: 1. EMBRACE SINGLE-PLAYER MODE AS A WEDGE FOR SOCIAL PRODUCTS Takeaway: Look for (and double down on) a single-player use case to increase retention (both short- and long-term) that will help unlock time to figure out multiplayer social features that create lasting network effects.
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BUILD A PRODUCT THAT USERS FEEL WAS BUILT JUST FOR THEM Takeaway: When users are in your app, they need to feel at home. Much like a personal gift from a friend, building a deeply personal user experience earns user trust and engagement. Always be thinking about the things, big and small, that can make users feel that magic.
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IT'S OK TO BE UNSCALABLE—YOU CAN MAKE IT SCALE LATER Takeaway: Startups exist to do things other companies wouldn't do—or can't do. Be scrappy and have a high tolerance for 'pain' at the beginning. It will often unlock key lessons you'll need to scale.
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BUILDING A FAMILIAR PRODUCT IS MUCH EASIER IF YOU'RE SOLVING A PROBLEM YOU'VE EXPERIENCED Takeaway: You're more likely to be successful if you are building a product for yourself, or to solve a problem you deeply understand. Instagram was built by passionate photographers—it wasn't an accident.
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PLAY THE LONG GAME Takeaway: Be patient. Getting a consumer product right takes time and constant iteration. If you're looking for overnight success, you run a higher risk of coming up short.
Five Lubricant Categories (The Racecar Growth Framework—expanded and illustrated)
Categories of optimizations to make your growth engine run more efficiently.
How it works: 1. Increasing conversion 2. Increasing retention 3. Increasing brand awareness 4. Increasing activation rate and/or customer success 5. Increasing prices
Five Scenarios Where Longer Payback Periods Are Acceptable (What is a good payback period?)
A checklist of conditions under which a startup should tolerate a longer-than-normal payback period
How it works: 1. You can confidently predict LTV: Product is incredibly sticky (5+ year LTV) or shows high account growth through upsell/cross-sell/usage fees. 18-month payback may be 'really good' in this case. 2. You're a mature business: 5+ years in business with predictable LTVs, renewal data, multi-year contracts, and large balance sheets. Shift the GREAT/GOOD/OK benchmarks up one level. A 10-year consumer business at 1-month payback should extend it to grow more aggressively. 3. You're optimizing for growth over profit: Payback can stretch to 5-7 years if it's fuel for a growth loop, investment in key market segment, or early inefficiency that will improve. Lower payback is not objectively optimal if it means leaving growth on the table. 4. Your sales team is scaling rapidly: Ramping reps inflate CAC without proportional revenue. Calculate payback using only fully ramped/productive reps (excluding both cost and revenue from ramping reps). 5. You deeply understand your growth engine: E.g., mobile games where ad network algorithms saturate core users and you must spend less efficiently over time. Requires deep understanding of multi-year LTV curves.
Flywheel Design Rules (Flywheels, flywheels, flywheels)
Guidelines for keeping your flywheel useful and actionable rather than overcomplicated
How it works: Rules for a good flywheel:
- Keep components to 4-6 maximum (per Jim Collins)
- If you have more than 6 components, consolidate and simplify
- Each element should directly drive the next element
- Improving any element should accelerate the whole flywheel
- It's just a tool for alignment—don't overcomplicate it
- Loops within loops and arrows in every direction means it's no longer useful
- It's fine to be messy at first—iterate
- Don't be afraid to have some fun with it
- It takes time—leaders often figure out the flywheel only after the fact
Further Study Reading List for Growth (Growth ideas)
Lenny's recommended deep-dive resources for each growth lever
How it works: 1. Where great roadmap ideas come from — for sourcing growth ideas 2. Common ways to increase activation — for activation optimization 3. How to increase your retention — for retention strategies 4. How to increase conversion — for conversion rate optimization 5. Increase your team's velocity — for execution speed 6. Growth inflections — for understanding inflection points in growth curves
Further Study Resources on Growth (All the ways to grow your product)
Curated list of resources for deeper study on product growth tactics
How it works: 1. Racecar Growth Framework (Reforge blog) 2. 'From zero to 10,000 clients in two years using channel partners' by Alex Rampell (First Round Review) 3. 'Expanding your business internationally' (Lenny's Newsletter) 4. 'Marketplace city expansion strategy' (Lenny's Newsletter) 5. 'How to kickstart and scale a consumer business' (Lenny's Newsletter — six-part series)
Growth Engine Fit Criteria (Kickstarting and scaling a consumer business—Step 6: SCALE: Build your growth engine)
A diagnostic checklist to determine which of the three consumer growth engines is the best fit for your product
How it works: You'll likely grow primarily through SEO if:
- Your users produce lots of public content (e.g., Glassdoor, Quora, Reddit, Pinterest)
- You have proprietary data that you can use to generate thousands of pages (e.g., Yelp, Grubhub, Thumbtack, Tripadvisor)
- Your competitors are having success with SEO—check Similarweb
You'll likely grow primarily through performance marketing if:
- You generate revenue directly from new users (e.g., purchasing a product), with a short enough payback period, which you can then use to fund more ads
- Customers are not naturally going to be looking for your product, and thus you have to come to them (e.g., new DTC brands)
You'll likely grow primarily through virality if:
- You have to share your product in order to use it (e.g., Dropbox, PayPal, Cameo)
- Your product is only fun when your friends are using it too (e.g., Snapchat, Facebook)
- The product is simply super-fun to share (e.g., Tinder, Airbnb, TikTok)
For marketplaces/platforms, two additional engines: 4. Sales: When supply is incredibly valuable and needs to be recruited directly 5. Supply drives demand: When your supply-side partners naturally market your platform to their customers
Growth Framework Stage Sequencing Guide (The Racecar Growth Framework—expanded and illustrated)
A five-stage sequencing guide for when to focus on each component of the Racecar Growth Framework.
How it works: Stage 1 — Just starting out: Focus energy on Kickstarts, and maybe a few Turbo Boosts, until your Growth Engine begins to drive the majority of your growth. Stage 2 — Working growth engine: Invest in Lubricants to help it run more efficiently, and the occasional Turbo Boost to boost growth. Stage 3 — Meaningful scale: Explore one or two Mid-stage Accelerants. Stage 4 — Before primary engine asymptotes: Experiment with and kickstart an additional Growth Engine, while continuing to Lubricate your existing growth engine(s). Stage 5 — Continued growth: Layer on an additional business unit, expand to new segments (e.g. enterprise), and grow within existing accounts (e.g. increase NRR).
Growth Ideas Master Checklist (63 Ideas Across 6 Categories) (Growth ideas)
A comprehensive, categorized list of 63 growth ideas spanning top-of-funnel (short-term and long-term), monetization, conversion/activation, retention, and team velocity. Designed for team brainstorming sessions using 'How might we…?' framing.
How it works: Drive more top-of-funnel (short-term) — 18 ideas:
- Convince an important (niche) influencer to mention you (e.g. Tinder at Sochi Olympics, Twitter, Clubhouse with Elon Musk)
- Do something controversial to get people talking about you
- Buy lots of billboards in a concentrated area (e.g. Brex, Airtable, Venmo)
- Release a shareable one-off product (e.g. Copy.ai cold email generator, Ahrefs free tools, Calm's donothingfor2minutes.com, UberPuppies)
- Launch on Product Hunt and hustle to get to #1
- Publish a viral piece of content (e.g. Clancy's Auto Body TikTok, Dropbox Reddit post, Superhuman)
- Get a popular newsletter or podcast to cover you (e.g. Ramp + Packy/Not Boring, Vanta + Acquired, Substack + The Generalist)
- Expand to an additional location
- Share something remarkable about your product or company
- Translate your product into other languages (e.g. Facebook, Airbnb)
- Organize a high-profile launch event (e.g. Salesforce Dreamforce, Airbnb, Spotify Stream On)
- Launch on a new platform (e.g. Android, VR)
- Orchestrate a PR stunt (e.g. IHOP name change, Tinder's 'Dozens of Dopes', Salesforce fake protesters)
- Create a viral video (e.g. Descript, Spotify, Blendtec 'Will It Blend', Poo-Pourri, Dollar Shave Club)
- Get your users and investors with the most followers to all post an announcement on social media at once
- Run an ad on a large podcast, TV show, or radio show (e.g. Eight Sleep, Coinbase QR code Super Bowl ad)
- Run a killer contest or giveaway (e.g. Jet equity giveaway, Harry's prelaunch referral, Coinbase)
- Create a limited-time deal (e.g. Amazon Prime Day, Starbucks Pumpkin Spice Latte)
Drive more top-of-funnel (long-term) — 10 ideas:
- Increase your product's virality
- Start investing in SEO
- Hire a salesperson
- Run ads on Google, Facebook, TikTok
- Add a referral program
- Establish a channel partnership
- Add a freemium offering
- Invest heavily in brand marketing (e.g. Red Bull, Apple, Airbnb)
- Start an online community that brings value to your target audience
- Launch or acquire a content/media company (e.g. HubSpot + The Hustle, Stripe + Indie Hackers, Robinhood + MarketSnacks, Zapier + Makerpad, AngelList + Product Hunt)
Improve monetization — 6 ideas:
- Encourage annual plans by offering a larger (limited-time) discount
- Charge power users more
- Increase your prices broadly
- Offer a limited-time discount if customers buy now
- Bundle a product with a bonus (e.g. a free trip, a cool backpack, AirPods)
- Double down on expansion revenue vs. acquiring new customers
Improve conversion and activation — 14 ideas:
- Make your site faster
- Remove a step from the flow
- Add a step to the flow (e.g. Twilio example)
- Add more guidance (e.g. Airtable example)
- Add smart recommendations/defaults to questions
- Cut 50% of your copy
- Have just a single CTA—remove any other options
- Add an additional authentication partner (e.g. Google, Apple)
- Add an email drip sequence with how-to videos
- Remove one thing from the flow that may be distracting the user
- Schedule one-on-one Zoom onboarding with new users
- Ask customer support and sales about one thing that's blocking users
- Add one element of personalization depending on the user persona
- Increase psych (Andrew Chen's psychd funnel conversion framework)
Improve retention — 8 ideas:
- Manually onboard new users, to make sure they see your value
- Let users 'pause' or 'snooze' instead of cancel
- Add a level of gamification (e.g. Duolingo)
- Solve one additional problem for your user
- Solve a more painful problem for your user
- Increase the percentage of new users getting to your activation milestone
- Invest in resurrecting churned users (growth = new users + resurrected users - churned users)
- Stop acquiring low-intent/quality users
Improve team velocity — 7 ideas:
- Narrow your team's focus by taking one thing off their plate (e.g. a goal, a project)
- Have one or two no-meeting days a week (e.g. 'No-meeting Friday')
- Put one person's ass on the line (i.e. a DRI) for each goal/outcome
- Find one blocker that is slowing your team down and unblock it
- Ask your engineers what is most slowing their day-to-day work down, and improve it
- Cancel a standing meeting and handle it async
- Let go of underperformers
Growth Loop Brainstorming Questions (Magical growth loops)
Derived from the taxonomy — a set of questions to evaluate whether your product has a latent magical growth loop
How it works: For each question, consider whether this loop exists or could be created in your product:
- Supply → Demand: Does your supply side have a clear motivation to tell their existing audience about your platform? (e.g., restaurants telling customers about delivery, creators sharing their profile)
- Demand → Supply (Active): Do your demand-side users have relationships with potential supply they could invite? (e.g., retailers inviting their vendors)
- Demand → Supply (Passive): Could your demand-side users naturally convert to supply after experiencing the product? (e.g., riders becoming drivers, guests becoming hosts)
- Demand → Demand (Virality): Does using your product require or benefit from inviting others? (e.g., collaboration tools, messaging apps, social networks)
- Demand → Demand (Referral): Could you create an incentive for users to invite friends? (e.g., bonus storage, credits)
- Demand → Demand (Passive): Is your brand visible when your product is used in front of non-users? (e.g., email signatures, meeting links, embedded widgets, watermarks)
- Supply → Supply (Active): Could you incentivize supply to recruit more supply? (e.g., host/driver referral bonuses)
- Supply → Supply (Passive): When supply creates content or events, do recipients get inspired to create their own? (e.g., survey takers creating surveys, readers becoming writers)
Jim Collins' Flywheel Identification Process (Flywheels, flywheels, flywheels)
A 7-step process from Jim Collins' book for identifying your flywheel by analyzing past successes and failures, most useful for larger organizations with history
How it works: 1. Create a list of significant replicable successes your company has achieved 2. Compile a list of failures and disappointments 3. Compare the successes to the disappointments and ask, 'What do these successes and disappointments tell us about the possible components of our flywheel?' 4. Using the components you've identified (keeping them to four to six), sketch the flywheel 5. If you have more than six components, you're making it too complicated; consolidate and simplify to capture the essence of the flywheel 6. Test the flywheel against your list of successes and disappointments 7. Test the flywheel against the three circles of your Hedgehog Concept (what you're deeply passionate about, what you can be best in the world at, what drives your economic engine)
Steps to Identify and Validate the Demand-to-Supply Growth Loop (Demand driving supply: The little-understood growth loop behind a surprising number of iconic billion-dollar companies)
A step-by-step process for determining if your marketplace has this growth loop and whether to invest in it
How it works: Step 1: Look at your data — How many and what percent of your supply side first interacted with your product as demand-side users? Even small numbers (e.g., 5 of 38 sellers) are a signal. Step 2: If you don't have data, ask customers via survey or conversations ('Where did you first learn about us?'). Step 3: Analyze buyer-to-seller conversion rates at different time intervals — same month, after 1 month, after 2 months, etc. Step 4: Look at cohort-based views to see if cohorts follow a reasonably consistent pattern. Step 5: Identify when conversion rates are highest to know where to focus efforts. Step 6: If conversion is happening (even at 0.1%), conduct qualitative research — survey demand-side users on their understanding of the supply-side offering. Step 7: Interview 15-20 users who have converted to understand reasons for switching and barriers. Step 8: If conversion is NOT happening organically, this loop probably isn't right for your marketplace — don't try to force it.
Targeting Questions for Demand-to-Supply Optimization (Demand driving supply: The little-understood growth loop behind a surprising number of iconic billion-dollar companies)
Key segmentation questions to ask when trying to increase demand-to-supply conversion rates
How it works: 1. Who are the users who have a higher propensity to convert? What are their shared attributes, and how are they different from the overall user base? 2. When are they most likely to convert? Is there a tipping point for users to convert? (e.g., Eventbrite found a specific number of events attended where conversion rate jumped by many multiples) 3. Are users who do convert high-value or lower-value? If low-value, is it worth the investment?
Ten Turbo Boost Tactics (The Racecar Growth Framework—expanded and illustrated)
List of the ten most common one-off growth acceleration tactics that can be used at any stage.
How it works: 1. Get PR 2. Create viral content 3. Host an event 4. Get an influencer to mention you 5. Run a marketing campaign 6. Sponsor a big event 7. Release a viral mini-product 8. Create controversy 9. Get featured by highly trafficked platform 10. Go on TV/podcast/etc.
Additional resource: Lenny has a separate post with 60 turbo boost ideas.
Three Mid-Stage Growth Accelerants (The Racecar Growth Framework—expanded and illustrated)
Growth tactics that aren't true engines but can significantly re-accelerate growth at scale.
How it works: 1. Channel partnerships — using partners to distribute your product (e.g. from zero to 10,000 clients in two years using channel partners) 2. Geographic expansion — expanding to new markets/cities (with marketplace city expansion strategy) 3. Category expansion — expanding into adjacent product categories
Key caveat: Not useful early on. Only explore at meaningful scale.
Three Requirements for Sustainable Growth (Growth inflections)
The three pieces every business eventually needs to get right for durable growth
How it works: Long-term sustainable growth requires all three (though it often starts with just one):
- Ongoing product improvements — to build something people want/need
- Ongoing events that get the word out — PR, media, celebrity mentions, community engagement
- A well-oiled growth engine — SEO, virality, paid, sales, partnerships
Examples
30+ Company Growth Loop Examples (Magical growth loops)
Comprehensive catalog of real companies and their specific magical growth loops, organized by loop type
How it works: Type 1 — Supply driving demand: DoorDash (restaurant→customers), Faire (vendor→retailers), Etsy (seller→seller-as-buyer), Cameo (celebrity→fans), Instacart (grocery store→customers), Substack (writer→followers), Kickstarter (creator→friends), Eventbrite (host→attendees), Ritual (restaurant→customers), Product Hunt (founder→users), OpenTable (restaurant→diners). Also: Uber Eats, Caviar, GrubHub, Postmates, Twitch, Patreon, OnlyFans.
Type 2 — Demand driving supply: Faire (retailer→vendors, active), AngelList (syndicate lead→backers, active), Uber/Lyft (rider→driver, passive), Airbnb (guest→host, passive).
Type 3 — Demand driving demand: Figma (employee→co-workers), Snapchat/Facebook (user→friends), Dropbox (user→friend via shared folder), WhatsApp/Telegram/Signal (user→contacts), Dropbox referral, Airbnb/Uber/Lyft referral, Zoom (user→meeting invitees), PayPal (user→money recipients), Intercom (company→website visitors), Superhuman (user→email recipients), Google Docs/Notion/Coda/Miro (user→document recipients), Instagram (user→cross-platform friends), Slack/Asana (employee→co-workers).
Type 4 — Supply driving supply: Airbnb/Uber/Lyft (host/driver referrals), Typeform/SurveyMonkey/Mailchimp (survey taker→survey creator), Eventbrite (attendee→host), Substack (reader→writer), Facebook Marketplace (viewer→seller), Product Hunt (user→launcher).
Amazon Flywheel (Flywheels, flywheels, flywheels)
The canonical Amazon flywheel showing how lower prices, customer visits, sales volume, third-party sellers, efficiency, and cost structure feed each other
How it works: Loop: Lower Prices → More Customer Visits → More Sales Volume → Attracts More Third-Party Sellers → More Efficiency from Fixed Costs (fulfillment centers, servers) → Lower Prices. Key insight: 'Feed any part of this flywheel, and it should accelerate the loop.' Components shown in diagram: Growth, Lower Cost Structure, Lower Prices, Customer Experience, Selection, Sellers, Traffic. Strategic implication: Growth alone leads to lower costs over time, so time is best spent adding sellers and improving customer experience vs. directly cutting costs.
Cameo Growth Inflection: Ronnie Radke (Growth inflections)
How a single celebrity at $25/video nearly broke Cameo and revealed the platform's core magic
How it works: CEO Steven Galanis looked up the most famous person on his birthday on famousbirthdays.com → found singer Ronnie Radke. Radke said 'I'm going to break Cameo' and joined at $25/video. He got booked ~500 times. After 3 days with no fulfillments, he started delivering: 7-second videos, bad lighting, mispronouncing names. Team expected angry customers but reviews were overwhelmingly positive ('I've been a fan my whole life, this is amazing'). Key insight: The magic of Cameo is about the relationship between fan and talent—hearing your name from someone you admire matters more than production quality.
Clubhouse's S-Curve Growth Pattern (Virality is a myth (mostly))
Detailed timeline showing how Clubhouse's growth was driven by successive broadcast events, not sustained virality
How it works: Timeline:
- May 2020: 1,500 users
- End of 2020: 600,000 users (Naval and Marc Andreessen hosting sessions)
- ~January 2021: 2 million users
- ~February 2021: 10 million users (Elon Musk joined in January)
- After: Growth flatlined
Key insight: Each growth spurt was triggered by a high-profile person broadcasting to their audience. Without new broadcast events, growth ceased. Classic series of S-curves pattern.
Collection of Company Flywheel Examples (Flywheels, flywheels, flywheels)
A curated gallery of flywheel diagrams from well-known companies for inspiration
How it works: Companies with flywheel examples included:
- Amazon: Growth → Lower Cost Structure → Lower Prices → Customer Experience → Traffic → Selection/Sellers → Growth
- Uber: Drivers → Coverage → Faster Pickups / Lower Prices → More Riders → More Drivers
- Netflix: Simple version vs. overcomplicated version
- Intel: From Jim Collins' Good to Great
- Faire: B2B commerce flywheel (from YC blog)
- Pinduoduo: Vertically integrated social commerce flywheel
- Opendoor: Real estate flywheel (from Not Boring)
- DoorDash: Delivery marketplace flywheel
- Booking.com: Travel marketplace flywheel (from HBS)
- Disney: Multi-platform content flywheel with film studio at core feeding comics, books, magazine, Disneyland, and merchandise
- David Perell: Personal creator flywheel
- Glassdoor: Content flywheel (from Kevin Kwok)
- Epic Games: Gaming ecosystem flywheel (from Matthew Ball)
Consumer Business Model Examples (The most important consumer metrics to track)
Real company examples mapped to each of the five consumer business model types
How it works: Subscription—trial-based: Calm, Noom Subscription—freemium: Duolingo, Spotify Ad-based: Snap, Twitter Marketplaces: Airbnb, Etsy DTC: Hims, Glossier
Consumer Subscription Business Valuations (The most important consumer subscription metrics to track)
Real examples of successful consumer subscription companies and their valuations at the time of writing, spanning content, software, and physical goods
How it works: Netflix: $230B Spotify: $60B Stitch Fix: $6B Duolingo: $2.4B Calm: $2B Strava: $1.5B Ipsy: $1B+ Masterclass: $800M
Deel's Growth Trajectory (Inspiration for the year ahead)
Deel grew from $0 to $300M ARR in three years, cited as the fastest company in history to do so.
How it works: Deel went from $0 to $300M in ARR in three years — the fastest company in history to achieve this milestone. Meltem Kuran Berkowitz joined early to lead growth and currently leads all growth and marketing teams including paid ads, content, product marketing, community, brand, and more. Context: Even the leader of this historic growth trajectory identifies as an 'insecure overachiever,' suggesting that insecurity can be a powerful motivational force rather than a liability.
Dropbox Dual Demand-Drives-Demand Loops (Magical growth loops)
Dropbox leveraged both natural product virality AND an incentivized referral program as two distinct demand-driving-demand loops
How it works: Loop 1 — Passive virality: User creates and shares a folder with friend → friend signs up to see shared folder. The sharing IS the product usage.
Loop 2 — Referral program: User discovers referral program and sends friend an invite → friend signs up, both get bonus storage.
Key insight: Dropbox ran both loops simultaneously — one driven by natural product usage, the other by explicit incentives.
Dropbox Linear Growth Despite 'Viral' Reputation (Virality is a myth (mostly))
Visual evidence that Dropbox's overall growth trajectory was linear, not exponential, despite famous viral moments like the referral program
How it works: Dropbox is famous for early viral growth and its referral program ('Space Race'). However, when you look at Dropbox's growth chart over time, it looks linear. The viral moments (like the referral program) were short-lived and don't even register in the broader growth trajectory when zoomed out.
Dropbox Sharing Loop (Elena Verna 3.0)
A real-world example of an 'earned' acquisition channel driven by product usage.
How it works: Accounts for over 50% of Dropbox's acquisition. Sender shares a file -> Recipient views it (building brand awareness and acting as activation) -> A percentage of recipients sign up. Dropbox dedicated a specific growth pod just to optimize the sender and recipient experiences.
Duolingo Growth Numbers (5-Year Trajectory) (The secret to Duolingo’s exponential growth)
Concrete growth metrics showing Duolingo's re-acceleration over five years
How it works: - DAU growth: 5 million → nearly 30 million (6x) over 5 years
- Stock: nearly 3x'd in past 2 years
- ~90% of DAU growth comes from word of mouth (not paid marketing)
- Hundreds of experiments launched per quarter
- ~50% of experiments launch overall
- Ports are close to 100% launch rate
- Company is over a decade old—re-acceleration at this stage is extremely rare
- Moving a major metric by 1% is considered a really good experiment outcome at Duolingo
Duolingo Growth from 3M to 200M Users (Inspiration for the year ahead)
Gina Gotthilf helped grow Duolingo from 3 million to 200 million users while leading growth and marketing.
How it works: Gina Gotthilf led growth and marketing at Duolingo, helping it grow from 3 million to 200 million users. She was named one of the 500 most influential people in Latin America by Bloomberg. Her personal mottos during this journey: 'This too shall pass' (for resilience during hard times) and 'Fake it till you make it' (for overcoming imposter syndrome — not lying, but opening rooms for yourself to become who you want to be).
Duolingo Overall Growth Results (4-Year Transformation) (How Duolingo reignited user growth)
The complete set of results from Duolingo's growth turnaround from 2018-2022
How it works: Starting Point (mid-2018): DAU growing at single-digit rate YoY
Results after 4 years:
- DAU increased 4.5x
- CURR increased by 21%
- Daily churn of best users reduced by over 40%
- Share of DAU with 7+ day streak increased ~3x to over 50% of DAU
- One of the fastest growth rates in Duolingo's history
- Key driver of successful 2021 IPO
Growth Vectors that Worked:
- Leaderboards (retention)
- Push notification optimization (retention)
- Streak optimization (retention)
- International expansion (acquisition)
- Social features (acquisition—the Acquisition Team's successful pivot)
- Accelerated course content creation (acquisition)
- Influencer partnerships (acquisition)
- Increasing presence in schools (acquisition)
- Paid UA (small investment) (acquisition)
- TikTok virality (acquisition)
ElevenLabs Creator Ecosystem Case Study (Ecosystem is the next big growth channel)
How ElevenLabs hit $100M ARR with 50 employees by turning users into paid contributors via its Voice Library.
How it works: Company: ElevenLabs (AI voice platform). Ecosystem play: Voice Library where voice actors upload voices and earn money when they're used. This attracts more creators. These voices also power viral content like 'AI presidents' on YouTube and TikTok. Viral hits drive press coverage. Result: $100M ARR with just 50 employees. Over $1 million paid to creators in 2025. Key insight: Without its paid creator ecosystem, the product itself would have fewer voices (weaker product) and it wouldn't have spread as quickly (weaker distribution). The ecosystem strengthens both product and distribution simultaneously.
Eventbrite Demand-to-Supply Conversion Program (Demand driving supply: The little-understood growth loop behind a surprising number of iconic billion-dollar companies)
Comprehensive case study of how Eventbrite identified, measured, and tripled their attendee-to-creator conversion rate
How it works: Background: 34% of Eventbrite creators first learned about Eventbrite by attending events. Listed as first of four key GTM strategy components in the S-1. Discovery: Roelof Botha (Sequoia) identified the loop during Series A diligence. Early employees conducted preliminary data analysis. Key finding: ~50% of surveyed attendees did not know whether 'anyone organizing an event can sell tickets through Eventbrite.' Qualitative research: Interviewed 20 converted users. Learned many converted after attending 2+ events. Used exact user language for messaging tests. Experiments: (1) Added consistent branding to event pages (previously looked like 'Myspace for events'), (2) Post-purchase messaging: 'organize events of all kinds! Eventbrite makes it easy to create an event page and manage who's coming,' (3) Header navigation change from tiny logo to 'Create an event' / 'Find events' — one of most impactful changes, (4) Expired event pages repurposed with 'create an event' CTA, (5) Physical paper tickets included supply-side messaging, (6) Programmatic emails triggered at the identified aha moment, personalized with user's past events, tested different value props. Result: More than tripled demand-to-supply conversion rate, unlocking material organic growth.
Facebook Growth Story: Translations and Mobile (Growth inflections)
How Facebook broke through two growth ceilings through translations and mobile, going from projected 400M to 2B+ users
How it works: Facebook growth timeline (2004-2015):
- Data science team projected ~400M users by 2015
- 2008-2009: Growth re-accelerated through translations platform that automatically translated Facebook into hundreds of languages. Facebook had hit the limit on English speakers and assumed non-English content would be enough, but users needed the platform itself in their language.
- 2010-2011: Second ceiling hit. Data science forecasted ~700M users. The shift to smartphones was not anticipated. Facebook retrained entire engineering teams on mobile development.
- Result: Grew to 2B+ users instead of projected 400M
- Key lesson: Being intentional about growth and breaking through forecasted ceilings enables much faster growth than projected.
Faire's Dual Growth Loop (Both Directions) (Magical growth loops)
Faire is unique in having both supply-drives-demand AND demand-drives-supply loops operating simultaneously
How it works: Loop 1 — Supply drives demand: Faire recruits vendor → asks vendor to upload list of preexisting retailers to avoid paying fees → vendor encourages retailers to place orders through Faire for convenience → retailers sign up and find other vendors.
Loop 2 — Demand drives supply: Faire recruits retailer who buys and has a good experience → retailer encourages their other vendors to list on Faire → vendors join and begin selling.
Key insight: Faire can seed growth from either side because both sides have clear motivation to bring the other.
Faire's Dual-Sided Viral Growth Loop (Finding your distribution advantage)
Faire's growth flywheel where supply (brands/makers) drives demand (retailers) and demand drives supply, creating an ever-accelerating growth loop.
How it works: Faire (wholesale marketplace) developed a unique viral loop where: (1) Brands/makers on the platform incentivize retailers to join, and (2) Retailers on the platform attract new brands/makers to join. This creates a self-reinforcing flywheel that accelerates growth on both sides of the marketplace simultaneously.
Figma Growth Inflection: Team Libraries (Growth inflections)
How Figma's release of Team Libraries in 2017 was the biggest growth inflection, providing leverage to design teams
How it works: The biggest inflection began with the public release of Team Libraries in 2017 (about a year after launch). The sheer amount of leverage that it provided to design teams made Figma such an obvious winner against Sketch/Framer/etc. It changed the entire conversation with large teams.
GTM Motions of 30 B2B SaaS Companies (The Best of Lenny’s Newsletter—2024 Edition, The Best of Lenny’s Newsletter 2023)
A collection of go-to-market strategies used by 30 B2B SaaS companies
How it works: Detailed breakdown of the go-to-market motions employed by 30 B2B SaaS companies. Useful as a reference for founders and growth leaders choosing or refining their own GTM approach. Covers product-led growth, sales-led, hybrid, and other motion types with real company examples.
GTM Motions of 30 B2B SaaS Companies Reference Table (GTM motions of 30 B2B SaaS companies)
A comprehensive visual table showing how 30 successful B2B SaaS companies approached their GTM strategy—initial segment, motion, and how it evolved over time
How it works: Companies included in the analysis (with notable data points):
Product-led companies that added sales:
- Figma: Product-led, bottom-up, SMBs → added sales assist
- Datadog: Product-led, bottom-up, SMBs → SMBs + Mid-market + Enterprises
- Airtable: Product-led, bottom-up, SMBs → added sales assist
- Notion: Product-led, bottom-up, SMBs → All stages
- Slack: Product-led, bottom-up, SMBs → Mid-market + Enterprises
- GitHub: Product-led, bottom-up
- Coda: Product-led, bottom-up
- Dropbox: Product-led, bottom-up
- Amplitude: Product-led, SMBs → Enterprises
- Calendly: Product-led (stayed relatively downmarket for years)
- Canva: Product-led (stayed relatively downmarket for years)
- Zapier: Product-led (stayed relatively downmarket for years)
- Twilio: Product-led, VSBs and SMBs → All stages
- Plaid: Product-led, SMBs → All stages
- Gusto: Product-led, VSBs → SMBs
Product-led companies that switched entirely to sales-led:
- Box: SMBs → Mid-market + Enterprises (fully sales-led)
- Front: Switched to sales-led
- Intercom: Switched to sales-led
- Zendesk: VSBs and SMBs → All stages (took 10 years to switch)
Sales-led companies:
- Workday: Sales-led, top-down, Enterprise from the start
- Snowflake: Sales-led, Enterprise from the start
- Databricks: Sales-led, Enterprise from the start (later added self-serve for lead gen)
- Salesforce: Sales-led (later added self-serve for lead gen)
- HubSpot: Sales-led, Mid-market → All stages (later added self-serve for lead gen)
- Retool: Sales-led, Mid-market, targeting internal tools engineers
- Carta: Sales-led, top-down
- Square: Sales-led, top-down
- Looker: Sales-led, targeting VP of Eng or head of data
- Vanta: Sales-led, compliance-focused
Target personas examples:
- Amplitude: Mobile PMs and growth leads
- Box: IT managers
- Front: Ops, sales, and support leads
- Looker: VP of Eng or head of data
- Retool: Internal tools engineers
GTM Motions of Today's Biggest Consumer Apps (Kickstarting and scaling a consumer business—Step 6: SCALE: Build your growth engine)
A comprehensive table mapping the kickstarting tactics and primary growth engines of major consumer businesses
How it works: Companies and their primary growth engines with supporting data:
VIRALITY:
- Airbnb: WOM was biggest driver early on. >50% on guest side, >70% on host side (Gustaf Alströmer)
- Instacart: Strong WOM growth + referral program with first orders (Max Mullen)
- Udemy: >90% of courses created organically (Gagan Biyani)
- Behance: Year of deep focus on viral spread—syncing social accounts, automating sharing (Scott Belsky)
- Instagram: Immediately went viral on launch, 25K users day 1, 100K in first week
- LinkedIn: Deployed Outlook contact uploader for 5-10x distribution per inviter vs. webmail (Keith Rabois, Lee Hower)
- Pinduoduo: K-factor never less than 1. Team buying model meant acquiring one customer acquired multiple (Turner Novak)
SEO:
- Thumbtack: Entire company (12 people) bet on SEO. 3 months: nothing. 6 months: trickle. 18 months: meaningful. 36 months: primary channel (Sander Daniels, Dan Hockenmaier)
- Yelp: Surprise success with organic search from quality review content (Russel Simmons)
- Etsy: 87-91% organic traffic since 2011, paid ads only 2-7% (GrowthHackers/S-1)
- Zillow: SEO was and continues to be important, built most comprehensive database of homes (Nate Moch)
- Grubhub: SEO with HCI principles, unique content, conversion-focused landing pages. Added menus for all restaurants (Mike Evans)
PAID:
- Booking.com: Started paid search in 2004, biggest source of growth by 2008. Started with 2 people, 6M pages of points-of-interest. Ran past $100M in spend (Arthur Kosten)
- Uber: End state ~50% paid, 50% virality (15% referrals, 35% WOM). Early: 30% referrals, 50-60% WOM (Andrew Chen)
SALES (marketplaces only):
- Grubhub: Supply growth all door-to-door sales (Casey Winters)
- Udemy: Built 'content acquisition' team with VAs and full-time employees for instructor outreach (Gagan Biyani)
- OpenTable: Direct sales force on the street, carrying software, demo'ing (Mike Xenakis)
- Etsy: Recruiting sellers in person at craft fairs (Dan McKinley)
- Caviar: Direct/field sales for supply (Gokul Rajaram)
SUPPLY DRIVES DEMAND (marketplaces only):
- DoorDash: Restaurants printed placards/stickers without being asked (Micah Moreau)
- Etsy: Sellers did grassroots marketing to their communities (Nickey Skarstad, Dan McKinley)
- Eventbrite: Event organizers had built-in demand they brought (Tamara Mendelsohn)
- Snackpass: 50% restaurant-driven users, 50% WOM (Kevin Tan)
GTM Strategy Research Examples (Notion and Deel) (How to use Perplexity in your PM work)
Real examples of using Perplexity to research go-to-market strategies of specific companies
How it works: Prompt 1: 'Notion's AI go-to-market strategy' — Researches how Notion approached their AI feature launch and monetization Prompt 2: 'Provide a detailed overview of Deel's go-to-market strategy' — Researches Deel's approach to market entry and expansion
These demonstrate using Perplexity to quickly build competitive intelligence and learn from other companies' strategic approaches.
Geographic Expansion Examples (Instacart, OpenTable, Grubhub, Rover) (All the ways to grow your product)
Four real-world examples of how startups used geographic expansion as a major growth driver, with direct quotes from founders and early leaders
How it works: Instacart: For many years, geographic expansion was a big lever. As they got better at selecting and launching new markets, each new market reached critical growth milestones faster and faster. — Max Mullen, co-founder
OpenTable: Market expansion was 'one of the most important growth drivers.' — Mike Xenakis, early executive
Grubhub: When they began to scale, expanding geographically was one of their top two or three growth levers for both supply and demand. — Casey Winters, early growth leader
Rover: Started in Seattle, kept it focused, learned about market dynamics, then flipped the switch and went national. They entered cities by spending on Google AdWords. Had a concept of 'activated markets' and a target list. When they saw organic growth bubbling up in a new market, that informed where to go next. For non-activated markets, they knew performance would be bad due to low liquidity and were willing to let it ride. — David Rosenthal, early board member
Goodfood Power User Insight (EOY Review)
An example demonstrating the difference between a useless observation and an actionable insight.
How it works: Observation: Power users do 4x more bookings. Insight: Power users are more likely to use a free shipping discount on a high GMV basket vs non-power users. Action: Change marketing spend to only offer the discount to power users on high GMV baskets.
Growth Engines of Top B2B Products (The Racecar Growth Framework—expanded and illustrated)
Reference table showing the primary growth engines behind today's biggest B2B products.
How it works: A large reference table (image-based) showing major B2B products and their primary growth engine. Key insight: It's essentially always sales for B2B, though some products have a product-led (self-service) element.
Growth Engines of Top Consumer Apps (The Racecar Growth Framework—expanded and illustrated)
Reference table showing the primary growth engines behind today's biggest consumer apps.
How it works: A large reference table (image-based) showing dozens of major consumer apps and their primary growth engine (SEO, paid ads, virality, or supply driving demand). Referenced from a prior newsletter post. The table includes a second column showing the GTM motion for each app.
Growth Motion Examples by Company (Six rules of hiring for growth)
Real-world examples of product-led, sales-led, and marketing-led growth motions across acquisition, retention, and monetization levers.
How it works: Product-led Acquisition: Miro — collaborative whiteboard requires inviting colleagues, creating viral acquisition loop Product-led Retention: SurveyMonkey — new response notifications trigger re-engagement to analyze results Product-led Monetization: Netlify — feature wall for site password protection drives self-serve paid conversion Sales-led Acquisition: Outbound discovery of decision makers → demo/trial Sales-led Retention: Quarterly business reviews communicating value delivered Sales-led Monetization: Nurturing customer → contract signing Marketing-led Acquisition: Organic/paid on Google, Facebook, Twitter Marketing-led Retention: Email lifecycle campaigns communicating product value Marketing-led Monetization: Retargeting and messaging nurture to generate monetization interest
GrubHub Brand Marketing vs. Product-Led Growth (What They'd Do Differently 🔮 Kickstarting and Scaling a Marketplace Business)
How GrubHub was late to product-driven growth and lost SEO rankings to a competitor who cloned their site
How it works: GrubHub was diligent measuring CAC, LTV, and retention rates but very late to move to product-driven growth. They eventually spun up a content-driven growth loop but struggled to get resources. Competitor Eat24 cloned their site and invested heavily in SEO, outranking GrubHub. GrubHub still couldn't get resources to overcome it. Eventually ran offline marketing and TV as performance marketing. Key lesson: Casey would have been less supportive of brand marketing initiatives and shifted to product-led growth sooner.
Hipcamp Market Expansion Story (Sarah Tavel)
Case study of how Hipcamp started with a seemingly small market (hardcore camping on raw land) that naturally expanded as hosts invested earnings into better structures
How it works: Initial market: Raw land for hardcore campers (tent + sleeping bag). Growth cycle: Hosts earned money → invested in fire pits, bathrooms, showers → then tree houses and yurts → expanded addressable market to glampers. Key insight: The market wasn't a cul-de-sac — supply quality naturally upgraded as hosts reinvested revenue, expanding the TAM from hardcore campers to mainstream nature seekers.
How Duolingo Reignited User Growth (The Best of Lenny’s Newsletter 2023)
The most popular Lenny's Newsletter post of all time, detailing how Duolingo drove a growth turnaround.
How it works: Detailed case study of Duolingo's user growth reignition — the single most popular newsletter post of all time. Covers the specific strategies, experiments, and organizational changes that led to Duolingo's growth resurgence.
How Duolingo Reignited and Accelerated User Growth (The Best of Lenny’s Newsletter—2024 Edition)
A two-part case study on Duolingo's growth turnaround and acceleration
How it works: Part 1: How Duolingo reignited user growth after a plateau. Part 2: The secret to Duolingo's continued growth acceleration. Covers specific tactics, experiments, and organizational changes that drove results.
Instacart Growth Inflection: Retailer Partnerships (Growth inflections)
How signing a national retailer transformed Instacart from a consumer company to a retailer enablement company
How it works: First growth inflection: signing first national retailer and transitioning from consumer company to retailer enablement company. This created a tipping point for other retailers uncertain about grocery e-commerce—it proved delivery wasn't a fad. Growth then driven by two factors:
- Retailers marketing partnerships (driving consumers to Instacart)
- Huge quality improvement: retailers provided accurate catalogs, pricing, and deep store integration
Key Features Correlated with Growth — Multi-Company Examples (How to accelerate growth by focusing on the features you already have)
Examples of features at well-known companies that are correlated with key growth metrics
How it works: The newsletter references examples of key features correlated with growth across companies including YouTube (subscribing to a channel), Loom (Auto Message Composer), Gmail (adding another email account), Figma (sharing files), Notion (blocks and databases concepts, 150+ templates), Indeed (resume submissions/callbacks), Apartments.com (search result quality), and Roblox (avatar customization). These illustrate how to identify which features map to acquisition, monetization, retention, or expansion metrics.
Lenny's Newsletter Growth Benchmarks (2021) (The Best of 2021)
Real metrics from Lenny's own newsletter business in 2021, useful as a benchmark for newsletter and community-driven businesses
How it works: - #1 paid business newsletter on Substack
- 90,000+ subscribers (2x growth from start of year, implying ~45,000 at start of 2021)
- 1 million page views in 2021
- Top geographies: U.S., India, Europe, Canada, Australia, Brazil, Netherlands, Singapore
- 58 posts published (including 12 guest posts) plus 52 community posts = 110 total posts
- 6,500+ paid Slack community members
Lenny's Product Pass as Win-Win-Win (Ecosystem is the next big growth channel)
Real example of a three-way partnership where startups, subscribers, and Lenny all benefit.
How it works: Product: Lenny's Product Pass — annual subscribers get a free year of 17+ premium products. Win-win-win breakdown: 1) Win for startups (partners): Get promoted through Lenny's Newsletter to a highly targeted audience of PMs, founders, and leaders. 2) Win for subscribers (audience): Get free access to premium tools like Devin, Lovable, Replit, Bolt, Linear, Superhuman, Perplexity, etc. 3) Win for Lenny (platform): Gets more paid subscribers — the Product Pass doubled his growth. Lenny calls it 'the most win-win-win idea I've ever concocted.'
Miroverse (Miro UGC) (Elena Verna 3.0)
A real-world example of using User-Generated Content (UGC) as a growth loop.
How it works: A library of user-generated Miro boards. It took 18 months of investment before the company placed strict metric expectations on it, eventually becoming a massive engine for both engagement and acquisition.
Mobile Games Extended Payback Period (What is a good payback period?)
Example of how MMO strategy mobile games operate with 12-24 month payback periods due to expensive CPIs and whale-driven economics
How it works: In MMO strategy mobile games: Ad network algorithms are very effective at finding 'core' players. Over time you saturate that base and must spend less efficiently. LTV tends to follow a fairly linear multi-year curve. Acquiring whale users who spend $1K-$10K++ drives the economics. CPIs have gotten very expensive. Result: companies commonly target 12-24 month payback periods, justified by deep understanding of multi-year LTV curves.
Mr. Beast - First Principles of YouTube Success (First-principles thinking)
Mr. Beast's approach of working backward from YouTube's fundamental incentives to become the #1 YouTuber
How it works: First-principles reasoning:
- What does YouTube want? People to click on a video and watch it (that's how they get ad revenue and keep viewers happy)
- Therefore, what matters? Two metrics: click-through rate (getting people to click) and average/relative retention (watching longer than other videos)
- Strategy: If people click your video more than others AND watch it longer than others, that's what YouTube wants, and that's how you succeed
Key insight: 'As simplistic as that is, that's what YouTube wants, and I think that's how you be successful.'
Netflix Flywheel (Simple Version) (Flywheels, flywheels, flywheels)
A simplified Netflix flywheel that's more useful than the overly complex version
How it works: Lenny contrasts a complex Netflix flywheel (from innovationtactics.com with many interconnected nodes) with a simpler, more useful version from Alex Danco. The lesson: simpler is better for alignment and communication. Keep flywheels to 4-6 components.
Palantir Gotham 'Tagging' Feature (The unconventional Palantir principles that catalyzed a generation of startups)
A concrete product feature example of compounding value design — users annotate unstructured documents to create structured data entities that benefit all future users.
How it works: Feature mechanics:
- User reads a document mentioning a suspect (e.g., 'John Smith' with phone number '123-456-7890')
- User selects text and 'tags' it — writing it back to the system as a new structured entity
- This new entity automatically links to other existing structured records
- Next user finds John Smith, sees the source, and surfaces connections through the phone number WITHOUT reading the original report
- Users can also leave analytic remarks after investigations
- Next user starts from the last user's endpoint
Compounding effect: If the system had 1 billion records, it now has 1 billion + 1, plus possibly dozens of new unexplored connections. With thousands of users each tagging and commenting thousands of times per year, value grows at a rate higher than linear user growth.
Payback Period Calculation Error Example (What is a good payback period?)
A worked example showing the common mistake of calculating payback with revenue vs. gross profit
How it works: Scenario: CAC = $100, customer generates $10/month revenue, 80% gross margins. Incorrect calculation (using revenue): $100 / $10 = 10 months. Correct calculation (using gross profit): Monthly gross profit = $10 × 80% = $8. Payback = $100 / $8 = 12.5 months. The difference is 2.5 months (25% longer than incorrectly calculated).
Pinterest Early Growth Mechanics (Scott Belsky)
Pinterest succeeded as a consumer product because it had a unique behavioral insight (collecting interests vs. portraying yourself), built network effects, and drove traffic back to pinned sources which incentivized those sites to add pin buttons
How it works: Insight: Rather than anxiety-inducing likes and self-portrayal through photos, Pinterest helped people collect and represent themselves through their interests. Growth flywheel: Pins drove traffic to source websites → those websites added Pin buttons to get more traffic → more content on Pinterest → more users. Key lesson: Durable consumer products need underlying mechanics that tilt the market, not just clever interfaces.
Product-Led Acquisition Growth Loop Examples (Five steps to starting your product-led growth motion)
Examples of SaaS products using product-led acquisition strategies (growth loops)
How it works: Examples referenced (with visual diagram in newsletter):
- Viral/network-effect growth loops (products where usage inherently brings in more users)
- Content-based growth loops
- Specific companies mentioned in the broader context: Evernote, Dropbox (prosumer PLG), Mailchimp, GoDaddy (SMB PLG), Canva, Slack (PLG-first then SLG), HubSpot, GitLab (SLG-first then PLG), Figma (PLG disruptor vs Adobe), Notion, Gainsight PX
Snap Growth Inflection: Three Product Innovations (Growth inflections)
How Snap's growth was driven by three major product innovations before shifting to traditional growth tactics
How it works: Three product innovations drove Snap's growth:
- Ephemeral messaging (2011)
- Stories (2013)
- Face filters (2015)
These were the hits everyone wanted to copy. Additional features like Bitmoji, Geofilters, and Group Chats helped too. Later, growth shifted to traditional tactics: performance marketing, localization, notifications, and network expansion. Even when Instagram copied Stories, it didn't stop Snapchat's growth with younger users in the West.
Snyk's GitHub PR Growth Loop (Ben Williams)
A product-led acquisition and engagement loop where the product automatically raises branded pull requests to fix vulnerabilities.
How it works: 1. User connects GitHub repo. 2. Snyk scans code and finds vulnerabilities. 3. Snyk creates a branded PR to fix the vulnerability. 4. Other developers in the repo see the PR, read the educational description, and click the Snyk link. 5. New developers sign up and connect their own repos.
Square Demand-to-Supply Conversion (Demand driving supply: The little-understood growth loop behind a surprising number of iconic billion-dollar companies)
How approximately 1% of Square buyers converted into Square merchants
How it works: In Square's early days, approximately 1% of people who bought through the Square reader (demand side) later became Square merchants (supply side). This became a powerful viral distribution mechanism: more merchants → more buyers → portion of buyers convert to merchants → flywheel spins. Square is now valued at around $120 billion.
Substack Recommendations Feature (Sachin Monga)
Case study of how Substack built its writer-curated recommendation system and its massive impact on growth
How it works: Origin: Noticed organic cross-pollination behavior (guest posts, comment profiles). Considered algorithmic 'Substacks You May Like' (like Facebook's PYMK) but rejected it as violating writer control principle. Instead: let writers manually pick ~10 newsletters to recommend; show these after someone subscribes. CEO Chris was initially skeptical due to many required steps. Launched as pilot with small group. Results: millions of new subscriptions driven, tens of thousands of unique writers benefited, 70% of Lenny's growth from this feature alone, 1 in 3 new subscriptions across Substack from network effects, 1 in 10 paid subscriptions from network. Viral mechanic: writers get notified when recommended, creating a goodwill loop that drove rapid adoption.
SurveyMonkey Demand-to-Supply Conversion Tactics (Demand driving supply: The little-understood growth loop behind a surprising number of iconic billion-dollar companies)
How SurveyMonkey used the survey-taking experience to convert survey takers into survey makers
How it works: SurveyMonkey's core demand-side experience is taking a survey. They used this flow to reinforce: (1) Who it is (brand), (2) What it does ('see how easy it is to create a survey'), (3) A CTA to create a survey. Key tactic: When a survey taker clicks 'Done' to submit responses, the 'survey complete' page is essentially a homepage-like experience promoting survey creation. Per former employees, these efforts were 'highly impactful in dialing up the product's built-in virality and conversion from survey takers (demand) to survey makers (supply).'
SurveyMonkey vs. Qualtrics — Competing with Different Growth Models (Six rules of hiring for growth)
A case study of two direct competitors in the online survey market who won with fundamentally different growth models applied to nearly the same product.
How it works: SurveyMonkey:
- Hit PMF in early 2000s by enabling easier feedback collection
- Won prosumer market with product-led acquisition: survey creators distributed SurveyMonkey-branded surveys to respondents (casual contact loop)
- Monetized prosumers via product-led self-serve channels
Qualtrics:
- Entered same online survey market with sales-led acquisition motion
- Targeted educational institutions first
- Students graduated, entered workforce, became decision makers
- Switched acquisition motion to enterprise buyers
- Got great traction with sales-led monetization inside companies
Key insight: Nearly the same product succeeded by applying unique growth models.
TikTok's $1B Paid Acquisition (Sarah Tavel)
TikTok spent over $1 billion on paid user acquisition, but only after achieving product-market fit and retention, making it the exception that proves the rule for organic consumer growth
How it works: TikTok reached millions of users organically before spending capital. Only invested in paid acquisition after confirming the product was retentive (levels 1 and 2 of Hierarchy of Engagement). Spent more than $1B on user acquisition. Every other major social product has grown organically. Lesson: Even with massive paid spend, the product must work first.
Tinder Growth Inflection: Sochi Olympics + College Word of Mouth (Growth inflections)
Two key external events that drove Tinder's biggest growth spikes
How it works: Two biggest growth inflections:
- Sochi Olympics (Feb 2014, coinciding with Valentine's Day): Olympic snowboarder Jamie Anderson did an interview mentioning Tinder being 'next level' in the Olympic Village and needing to delete it due to distraction. PR team led by Rosette Pambakian maximized the news cycle.
- First return from college holiday break: College students went home and told high school friends about Tinder, who then brought it back to their own colleges—organic network expansion.
Uber Flywheel (Flywheels, flywheels, flywheels)
Uber's marketplace flywheel showing the supply-side importance in their business
How it works: Loop: More Drivers → More Geographic Coverage → Faster Pickups → More Riders → More Drivers. Secondary loop: More Geographic Coverage → Less Driver Downtime → Lower Prices → More Riders. Key insight: The flywheel reveals how important supply (drivers) is to the marketplace.
Uber's R2D (Rider-to-Driver) Funnel (Accelerating Growth at Scale 🔥 Phase 2 of Kickstarting and Scaling a Marketplace Business)
Uber's cross-side loop that converted riders into drivers, becoming their largest attributable driver signup source
How it works: Early days Uber had black car drivers and riders with no overlap between the two sides. In 2015, Uber built the 'R2D funnel' (Rider to Driver) which became the largest attributable signup source of riders turning into drivers. This was a cross-side loop that took years to identify and build but became massively impactful.
Wrapbook's Gig-Based Growth Loop (Finding your distribution advantage)
A media payroll company that grows as both supply and demand move to new gigs and bring Wrapbook with them.
How it works: Wrapbook (media payroll company) grows through a unique mechanism: both their supply (crew/talent) and demand (production companies) regularly move between projects/gigs. Each time they move to a new gig, they bring Wrapbook with them, introducing the product to new users organically.
YouTube Growth Inflection: Two Viral Videos (Growth inflections)
How an SNL clip and a Nike marketing experiment with Ronaldinho drove YouTube's early viral growth
How it works: In 2005, two videos achieved virality with millions of views:
- Saturday Night Live clip: Uploaded by a user for sharing. After NBC saw its performance, they created their own account. It showed NBC that YouTube enabled anytime/anywhere viewing vs. Saturday night only.
- Ronaldinho soccer video: Uploaded by Nike's marketing department as an experiment. After seeing performance, Nike invited YouTube to Oregon to discuss content collaboration.
Both videos differentiated YouTube from vlogging/personal video content and demonstrated the platform's potential for professional content distribution.
Tools
B2C Subscription Resource List (How to win in consumer subscription)
Curated resources for further study on consumer subscription businesses
How it works: 1. '2020 Consumer Subscription Software Insights' by GP Bullhound — market map and benchmarks 2. 'What is a good payback period' by Lenny's Newsletter — payback period benchmarks 3. 'What is good retention' by Lenny's Newsletter — retention benchmarks 4. 'From Onboarding to Healthy Habits, Noom's Growth Is Powered by Psychology' by Breakout Growth podcast 5. 'Spotify: A Product Story' podcast — detailed Spotify product history 6. 'Consumer Subscription KPI Benchmarks: Retention, Engagement, and Conversion Rates' by Parsa Saljoughian 7. 'The Racecar Growth Framework' by Reforge — framework for growth engines
Flywheel Reading List (Flywheels, flywheels, flywheels)
Curated list of additional resources for going deeper on flywheels
How it works: 1. 'A framework for developing your own flywheel' - futureblind.com/2019/08/03/advantage-flywheels/ 2. 'Turning the Flywheel' by Jim Collins (book) - monograph to accompany Good to Great 3. 'The Flywheel Effect' - jimcollins.com/concepts/the-flywheel.html 4. 'Flywheels And How To Create Content Communities' by Andy Johns - andyjohns.co 5. 'The Everything Store' by Brad Stone (source of Amazon flywheel) 6. 'Making Uncommon Knowledge Common' by Kevin Kwok (Glassdoor flywheel) 7. 'TikTok and the Sorting Hat' by Eugene Wei
Further study reading list for growth strategy (How people discover new products)
Curated list of 5 resources for going deeper on growth and customer acquisition strategy
How it works: 1. 'A Customer Acquisition Playbook for Consumer Startups' (First Round Review) 2. 'The Racecar Growth Framework' (Reforge) 3. 'Getting your first 1,000 users in B2C' (Lenny's Newsletter) 4. 'Getting your first 10 customers in B2B' (Lenny's Newsletter) 5. 'How to increase virality' (Lenny's Newsletter)
Supporting file: references/guest-insights.md
Building a Sustainable Growth Model - All Guest Insights
30 sources, 121 insights
Albert Cheng
Insight: High-impact growth opportunities are frequently found by identifying where actual user behavior diverges from the product's original design intent.
Tactical advice:
- Analyze behavioral data to find counterintuitive patterns where users engage with features for reasons you didn't intend.
- Test hypotheses that leverage positive reinforcement and 'winning' moments rather than just solving for user mistakes.
- Audit existing product features to see if psychological wins found in one area can be replicated across the platform.
Source: How to find hidden growth opportunities in your product | Albert Cheng (Duolingo, Grammarly, Chess.com) (https://www.youtube.com/watch?v=2BKmNmnEj9w) @ 00:09:42
Archie Abrams
"In a given cohort of merchants, a lot of people will start. Some of those people on their first attempt that's entrepreneurship might not succeed, but the folks who do go on to be successful will make that entire cohort of merchants who started something that makes Shopify as a business extremely successful. And that's why we lower the barriers to get started and help folks grow, and those winners make the whole thing work."
Insight: In a power-law business model, maximizing top-of-funnel volume by lowering entry barriers is more effective for long-term revenue than optimizing for low churn.
Tactical advice:
- Lower barriers to entry to maximize the absolute volume of new users attempting to use the product.
- Evaluate cohort success based on the total value generated by high-performing outliers rather than average retention rates.
- Accept higher churn among early-stage users as a necessary trade-off for capturing massive power-law winners.
Ben Williams
"Being able to identify the various micro and macro loops, how they're all connected, being able to document them in a qualitative model to communicate a shared understanding of how you grow, it's really powerful."
Insight: Visualizing growth as a system of interconnected loops rather than a linear funnel helps teams align on how the product actually scales.
Tactical advice:
- Document a qualitative model of your growth loops to ensure the entire organization has a shared understanding of growth mechanics.
- Augment qualitative loop models with quantitative data to identify which areas require the most investment each quarter.
- Use your documented growth strategy as a filter to prioritize the most impactful ideas from the team's backlog.
Source: How Snyk built a product-led growth juggernaut | Ben Williams (VP of Product at Snyk) (https://www.youtube.com/watch?v=21sFTZzIfUk) @ 00:20:27
Casey Winters
"The goal of your Kindle strategies, these like non-scalable hacks, they only exist to unlock the fire strategies, to unlock the things that could take you to millions of users."
Insight: Non-scalable growth tactics are temporary tools meant to ignite long-term, scalable product loops rather than ends in themselves.
Tactical advice:
- Treat non-scalable 'Kindle' strategies as a bridge to reach sustainable 'Fire' strategies that scale to millions.
- Embed content loops into the core product that allow users to copy and adapt best practices from others.
- Focus on growth strategies where the core product loop naturally facilitates sharing and scaling within an organization.
Source: How to sell your ideas and rise within your company | Casey Winters, Eventbrite @ 00:47:07
Crystal W
Insight:
Source: How to scrappily hire for, measure, and unlock growth | Crystal Widjaja, Gojek and Kumu @ 00:28:20
Dan Hockenmaier
"And that's how I think about a growth model, so the analytical representation of how the business grows and it's typically built in a spreadsheet which has a really nice feature of being very hard to fake. You can talk about a business conceptually, but when you actually have to get it to line up and link in a model, it's very hard to not force yourself to understand how the business works."
Insight: Building a growth model in a spreadsheet forces a team to reconcile conceptual theories with mathematical reality, leading to a much deeper understanding of how the business actually scales.
Tactical advice:
- Build the model in a spreadsheet to ensure all growth variables are mathematically linked.
- Focus on three core sections: acquisition channels, retention curves, and monetization logic.
- Use the growth model for opportunity assessment rather than for financial forecasting.
Source: Developing a growth model + marketplace growth strategy | Dan Hockenmaier (Faire, Thumbtack, Reforge) (https://www.youtube.com/watch?v=AlTQ6O2qooI) @ 00:05:54
Insight: Expanding a marketplace requires an analytical understanding of how the supply-demand interaction will change in different geographical or vertical contexts.
Tactical advice:
- Use growth models to assess the potential contribution margin of a new vertical before committing resources.
- Evaluate if existing supply can be leveraged to solve the cold-start problem in new categories.
- Closely monitor early unit economics when launching in new geographies.
Source: Developing a growth model + marketplace growth strategy | Dan Hockenmaier (Faire, Thumbtack, Reforge) (https://www.youtube.com/watch?v=AlTQ6O2qooI) @ 00:42:48
Drew Houston
"And then, we also figured out these viral motions around our referral program, and shared folders. And so Dropbox started expanding virally for the first several years. And then we applied that same engineering mentality to these viral loops."
Insight: High-leverage growth is achieved by treating viral adoption like an engineering problem, applying principles of epidemiology to product features like referrals and sharing.
Tactical advice:
- Create demo videos tailored to specific technical communities using 'Easter eggs' and memes to drive massive waiting list sign-ups.
- Incorporate viral loops directly into the product core through shared folders and incentivized referral programs.
- Focus on a single, frustrated customer (yourself) to ensure the initial product solves a deep, universal pain point.
Source: Behind the founder: Drew Houston (Dropbox) (https://www.youtube.com/watch?v=egdYKLBswgk) @ 00:11:33
EOY Review
Insight:
Source: EOY Review @ 00:32:12
Elena Verna 3.0
Insight: There are no shortcuts or 'magic wands' in growth; success requires internal discovery of product-market fit rather than outsourcing it to a high-profile hire.
Tactical advice:
- Focus on building a solution that customers retain and find indispensable before looking for shortcuts.
- Ignore 'sure things' or viral growth hacks that promise instant success without context.
- Solve the distribution problem internally through the founding team before looking for external innovators.
Source: Elena Verna on how B2B growth is changing, product-led growth, product-led sales, why you should go freemium not trial, what features to make free, and much more @ 00:34:02
"Wait for growth until you are ready to overlay product-led growth on top of your sales motion. ... honestly, the longer you wait, the better it is because that way your entire company will be trained to be responsible for growth."
Insight: Sustainable growth requires layering different motions at the right time, starting with a founder-led culture where every department feels responsible for growth.
Tactical advice:
- Wait to overlay a product-led growth motion until your primary sales motion is established.
- Resist siloing growth into a separate 'island' until the broader organization understands its growth responsibilities.
- Transition from founder-led to team-led growth only once you have enough user volume for experimentation.
Source: Elena Verna on how B2B growth is changing, product-led growth, product-led sales, why you should go freemium not trial, what features to make free, and much more @ 00:50:58
"If you have the overall business slowing down, your head of growth is destined to fail because the reason business is slowing down is much deeper than not having a growth team. ... if you have core product and core marketing issues, growth team will not be able to fix them for you."
Insight: Hiring a growth leader cannot fix a declining business if the root cause is a fundamental failure in the core product or marketing strategy.
Tactical advice:
- Identify the 'big elephant in the room' causing a slowdown before attempting to solve it with a growth team.
- Address core product-market fit issues rather than expecting growth optimizations to provide miracles.
- Do not hire a head of growth specifically to reverse a downward trajectory that the rest of the business is ignoring.
Source: Elena Verna on how B2B growth is changing, product-led growth, product-led sales, why you should go freemium not trial, what features to make free, and much more @ 00:15:16
Elena Verna 4.0
"I feel like only 30 to 40% of what I've learned in the last 15 to 20 years of being in growth transfers here because we just need to invest in such bigger bets, and innovate, and create new growth loops here, everybody and their mother is starting a vibe coding business nowadays, and we need to figure out how to be ahead of them. And to be ahead of them is not optimization of the problem, it's reinvention of the solution."
Insight: In hyper-competitive AI markets, traditional funnel optimization takes a back seat to bold innovation and the reinvention of the core solution.
Tactical advice:
- Prioritize big bets and new growth loops over incremental funnel tweaks.
- Spend the vast majority of resources on innovation rather than optimization.
- Reinvent your solution regularly to stay ahead of market entrants.
Source: Elena Verna 4.0 @ 00:15:28
Gina Gotthilf
Insight:
Source: Scaling Duolingo, embracing failure, and insight into Latin America’s tech scene | Gina Gotthilf (Latitud, Duolingo) (https://www.youtube.com/watch?v=sWClFYdbkRA) @ 00:25:56
Hila Qu
"I think the key properties also of PLG products, think about it should have a very low barrier to entry. Usually it has a free version, free trial. You don't need get approval from your boss to use it. You can use it today and then it has some sort of a self-service checkout flow. If you need a better version, you can buy yourself as well."
Insight: A successful product-led user journey removes the 'gatekeeper' barrier, allowing end-users to discover, use, and upgrade without human intervention.
Tactical advice:
- Map how a user can discover and start using your product without ever seeing a 'book demo' form.
- Identify usage triggers or limits that can automatically transition a user to a self-service checkout flow.
- Ensure the entry-point experience is frictionless enough that users can sign up and realize value the same day.
Source: The ultimate guide to adding a PLG motion | Hila Qu (Reforge, GitLab) (https://www.youtube.com/watch?v=7l1fIxk7SnA) @ 00:25:12
Jason Cohen
Insight: To effectively fix stalled growth, you must systematically diagnose issues in a specific sequence, starting with the most critical points of failure before moving to optimizations.
Tactical advice:
- Ask if customers are leaving as the primary diagnostic step before looking at acquisition.
- Address the biggest points of failure at the top of your diagnostic checklist first.
- Identify if growth is decelerating gradually or due to a specific external event.
Source: 5 questions to ask when your product stops growing | Jason Cohen (2x unicorn founder) (https://www.youtube.com/watch?v=8xLquwfx6p0) @ 00:08:26
Jonathan Lowenhar
Insight: A successful go-to-market strategy requires shifting from inventing a product to building a repeatable operation capable of handling high demand.
Tactical advice:
- Identify repeatable ways to attract, win, and thrill customers to validate your business model.
- Construct an operational rhythm that can scale alongside increasing customer demand.
- Focus on the transition from positive revenue to positive cash flow as the company matures.
Source: How a great founder becomes a great CEO | Jonathan Lowenhar (co-founder of Enjoy The Work) (https://www.youtube.com/watch?v=s0jn7eE33nk) @ 01:02:54
Julian Shapiro
Insight:
Lenny Rachitsky
"To build an audience, you help people. To build a community, you help people help each other. It’s a subtle but massive difference in mindset."
Insight: Successful community building requires shifting from a one-to-many value delivery model to a many-to-many model where members create value for each other.
Tactical advice:
- Distinguish between an audience and a community by identifying whether the value flow is one-to-many or many-to-many.
- Align the community’s structure to specific business objectives such as product feedback, customer acquisition, or support.
- Assess whether members have the actual motivation to contribute before committing resources to a community platform.
Source: A founder’s guide to community (https://www.lennysnewsletter.com/p/a-founders-guide-to-community)
"Early on, you do things that don’t scale. At some point, though, you need to scale the things you’re doing. As a result, the number of levers you can rely on for growth at scale is substantially reduced — from a total of sixteen different levers early on (across early supply and demand growth), to only eight down the road:"
Insight: Scaling a marketplace requires narrowing focus from numerous early-stage tactics to a core set of eight proven, scalable growth levers.
Tactical advice:
- Prioritize performance marketing and geographic expansion as the most common drivers of scale.
- Identify which of the eight proven levers align with your specific marketplace dynamics.
- Transition resources away from unscalable 'moment in time' tactics as the company matures.
"If you’re thinking about exploring this viral loop for your business, my number one piece of advice is to first see if it’s already happening. Only lean into it if you’re already seeing this behavior, rather than trying to force it from a cold start."
Insight: Successful growth loops should be built upon existing organic user behaviors rather than attempting to manufacture new ones from scratch.
Tactical advice:
- Analyze your database to determine what percentage of your supply side first interacted with the product as demand-side users.
- Look for early evidence of demand-to-supply conversion even in very small datasets, such as a handful of sellers who started as buyers.
- Survey customers to ask where they first learned about your product to identify word-of-mouth or platform-driven discovery.
"For many businesses with this demand-to-supply dynamic, there tends to be some latency. As such, I’d start by looking at the following: 1. Buyer-to-seller conversion rates in the first month, after the second month, and so on."
Insight: Tracking conversion across time-based cohorts helps identify the specific windows of opportunity and latency in the user journey from buyer to seller.
Tactical advice:
- Calculate buyer-to-seller conversion rates for the same month of signup and each subsequent month to identify natural conversion patterns.
- Use cohort-based views to ensure conversion rates remain consistent or increase over time as the platform scales.
- Identify leading indicators for conversion, even if they are as small as 0.1%, to validate the loop's emergence.
Insight: Qualitative research is necessary to identify the knowledge gaps and friction points that prevent demand-side users from recognizing the platform's supply-side utility.
Tactical advice:
- Conduct surveys to determine if demand-side users understand that your platform offers a supply-side product.
- Interview users to uncover whether they realize they are eligible or capable of becoming suppliers on the marketplace.
- Analyze sales conversations for mentions of prospects who have previously interacted with the platform as buyers.
"A flywheel is just a tool for you and your team to identify and align on which parts of the business matter most. Of all of the things that you can work on, which investments accelerate your flywheel, and which investments don’t matter?"
Insight: Visualizing growth as a reinforcing loop allows teams to align on a shared strategy and prioritize projects that generate compounding momentum.
Tactical advice:
- List your core assets, user actions, needs, and outputs to find potential connection points.
- Identify which items from your list directly drive other items to create a self-sustaining loop.
- Keep the diagram simple by consolidating the process into no more than six core components.
Source: Flywheels, flywheels, flywheels (https://www.lennysnewsletter.com/p/flywheels-flywheels-flywheels)
"Of the 30 companies I looked at, 19 of them started off product-led, but 100% of them added a sales team to assist with growth/expansion. Four completely switch to a sales-led motion. Interestingly, zero went the other way (from sales-led to product-led)."
Insight: The most successful GTM strategy usually involves starting with one clear motion while planning to eventually integrate both self-serve and sales-led elements as the company scales.
Tactical advice:
- Determine if your product is 'all or nothing'—requiring a single decision-maker—to choose between product-led or sales-led motions.
- Identify whether adoption will spread 'bottom-up' via individual contributors or 'top-down' via executive sign-off.
- Plan to eventually layer a sales team onto a product-led motion to capture larger accounts and maintain growth.
Insight: Reaccelerating growth for a mature product requires shifting from intuition-based feature development to a systematic, data-driven approach that prioritizes retention over new acquisition.
Tactical advice:
- Segment the user base into distinct engagement buckets to understand where growth is stalling.
- Prioritize retention-focused features over new-user acquisition if growth is primarily organic.
- Perform a sensitivity analysis on your growth model to identify the single most impactful lever for daily active users.
"The blocks, or buckets, represent different user segments with different levels of engagement. And every single user who has ever used the product is in one, and only one, bucket on any given day. That means the buckets in the model are MECE (mutually exclusive, collectively exhaustive) in representing the entire base of users who have ever used Duolingo."
Insight: A North Star metric is best identified by building a MECE model of user engagement and simulating which transition between user states has the highest compounding impact on total growth.
Tactical advice:
- Categorize all historical users into mutually exclusive buckets such as New, Current, Reactivated, and Resurrected.
- Measure the 'arrows' or rates of movement between these buckets on a daily frequency.
- Run simulations by manipulating specific retention rates to see which one drives the greatest cumulative increase in DAU.
"I can confidently say that product teams frequently, or even usually, drive more growth by optimizing engagement with existing key features than by launching new ones. And in an economic environment where engineering budgets and projects are being cut, getting more impact from work that’s already been done is even more critical."
Insight: A structured focus on optimizing existing core features and user flows often generates more growth than building new products or adjacent functionality.
Tactical advice:
- Apply the ARIA framework (Analyze, Reduce, Introduce, Assist) to identify and improve high-potential existing features.
- Identify high-impact "key features" that correlate most strongly with core growth metrics like acquisition or retention.
- Focus on the final 20% of a feature's design that may be causing friction to unlock its full utility for users.
"Also, look for opportunities that might turn pre-existing assumptions on their head. The team was optimizing traffic coming from paid marketing channels because they’ve historically converted better. Yet, the bigger opportunity is in profile referrals."
Insight: Challenging pre-existing assumptions through a detailed funnel audit can reveal growth channels that offer significantly higher scale than current focus areas.
Tactical advice:
- Audit funnel data to find channels with higher volume and improvement potential than current focus areas.
- Look for 'peek behind the curtain' effects in the UI to leverage curiosity bias for conversion.
- Investigate lower-intent channels that may offer larger opportunities for optimization than high-intent ones.
Insight: Durable B2C subscription businesses are built on a foundation of operational efficiency, tight alignment between product and acquisition, and a relentless focus on creating sticky habits.
Tactical advice:
- Keep the initial team lean to allow for a longer runway and patient product development.
- Identify a single efficient growth channel—such as word of mouth or optimized paid ads—and align the product roadmap to it.
- Utilize rapid iteration and gamification mechanics to build a product that keeps users coming back.
"The most important problem in marketing is this: If we spend an additional $1,000 on some marketing activity, how many additional sales would we drive? Marketers sometimes refer to this concept as “incrementality.”"
Insight: True marketing effectiveness is defined by incrementality—the sales that would not have occurred without the specific marketing spend.
Tactical advice:
- Define the counterfactual to distinguish between correlation and causal sales.
- Operationalize incrementality to avoid wasting budget on activities with zero actual impact.
- Use measurement as a 'second opinion' to validate if spend is truly driving growth.
"Marketing mix modeling (MMM): a statistical modeling technique that marketers use to determine which channels in their marketing mix deserve credit for sales, in order to reallocate budget to the highest-performing areas"
Insight: MMM uses aggregate statistical data rather than individual tracking, making it a critical tool for measuring offline channels and navigating digital privacy restrictions.
Tactical advice:
- Analyze historical aggregate spend and sales data to find statistical correlations between channels.
- Use MMM to capture the impact of upper-funnel or offline channels that traditional pixels miss.
- Leverage open-source models like Uber's 'Orbit' if building an internal system.
"Each of these methods has strengths and weaknesses, but by triangulating the truth through combining multiple methods, you can get a more accurate measurement. The goal of triangulation is to determine how many of your sales are “incremental,” meaning they wouldn’t have happened had you not invested in marketing."
Insight: No single measurement method is perfect; accuracy requires cross-validating results from tracking, modeling, and experimental testing.
Tactical advice:
- Use at least two different measurement methods simultaneously to 'get a second opinion' on performance.
- Identify discrepancies between attribution models to uncover hidden channel value or bias.
- Combine results into a single 'triangulated' view to zero in on the truth of what is working.
"A common pitfall of early-stage startups is trying to invest in too many engines at once and not nail any. At scale, in order to win a market, you have to become world-class at your primary growth engine."
Insight: Consumer startups should focus on mastering a single growth engine—virality, SEO, or paid marketing—rather than diluting their efforts across multiple channels.
Tactical advice:
- Identify which of the three feasible growth engines naturally fits your product mechanics.
- Commit the majority of your engineering and product resources to becoming world-class at that single engine.
- Wait until your primary engine plateaus before attempting to layer on secondary channels.
"In the case of paid marketing and SEO, you are competing for a customer’s attention. Paid marketing becomes a business-model competition (who can turn this customer attention into enough value that they can bid more than anyone else for that attention), and SEO becomes a ranking-algorithm competition."
Insight: Choosing a growth engine requires understanding whether your competitive advantage lies in your business model's margins, your content's search authority, or your product's viral loops.
Tactical advice:
- Determine if your product naturally fits SEO, paid ads, or viral sharing patterns based on how users already discover it.
- Evaluate if your business model generates enough value per user to outbid competitors in paid marketing.
- Assess if you have enough proprietary content or data to win a ranking-algorithm competition for SEO.
"Your job as a founder looking to grow your product is to (1) creatively execute two to three kickstarting tactics and (2) become world-class at one primary growth engine. That’s essentially your high-level GTM strategy."
Insight: A complete go-to-market strategy for a consumer startup bridges the gap between manual, unscalable early growth and one automated, scalable long-term engine.
Tactical advice:
- Select 2-3 unscalable kickstarting tactics to find your first 1,000 users.
- Use a GTM worksheet to map out how early reach will eventually transition into a self-sustaining growth engine.
- Align what you build with your chosen growth engine, as product and growth are mutually dependent.
"Normally, to grow your business, YOU need to go find every new users or customer. However, if you’re building a product like DoorDash, Faire, Substack, Dropbox, Eventbrite, and many of the companies you’ll find below, a very cool thing can happen: your users grow your business for you. THEY recruit your new users. Magical!"
Insight: True product-led growth occurs when the product is architected so that existing users naturally recruit new users, creating a self-sustaining cycle.
Tactical advice:
- Analyze your product to see if it fits one of the four 'magical' loop types: Supply driving demand, Demand driving supply, Demand driving demand, or Supply driving supply.
- Identify the 'latent' loops in your current user behavior where one side of the market is already interacting with non-users.
- Brainstorm ways to incentivize users to recruit others, either through direct rewards or core product utility.
Source: Magical growth loops (https://www.lennysnewsletter.com/p/magical-growth-loops)
"It took years to build critical mass by launching at enough schools to see a significant inflection in our growth and the development of real network effects. This August, we reached fourth overall in Apple’s App Store and second on the Social Networking charts, while maintaining a tailored and closed network for each school."
Insight: Building a sustained social product for a Gen Z audience requires a long-term commitment to capturing critical mass within localized, high-density networks before attempting broad viral expansion.
Tactical advice:
- Launch methodically in closed, tailored networks to build early critical mass.
- Focus on a primary utility, like a calendar, that drives daily recurring usage.
- Scale via a bottom-up approach driven by the users themselves rather than institutional partnerships.
Insight: Rather than diluting the product to reach more people, scale by building the internal infrastructure and specialized teams required to maintain high personalization at a massive scale.
Tactical advice:
- Resist the urge to over-generalize the product early in the name of efficiency.
- Invest in custom internal tools and larger operational teams to handle the overhead of bespoke community support.
- Consolidate niche apps into a single platform only once the launch playbook is fully productized.
"Start by mapping out the major steps of how users would interact with your product-led growth motion, such as marketing site, free version, and checkout flow."
Insight: Mapping a PLG funnel requires designing a frictionless journey from the initial marketing touchpoint to a self-service purchase.
Tactical advice:
- Redesign the marketing site messaging to prioritize free sign-ups over booking a demo.
- Ensure the free version’s UX guides users directly toward the product’s three most important features.
- Build a smooth checkout flow with various payment options to support self-service conversion.
"Run through the entire user journey from a customer's perspective to understand where potential bottlenecks and pain points exist. This includes the initial website visit, the sign-up process, the initial product use, and finally, the purchasing process."
Insight: A successful PLG audit identifies friction by combining first-hand walkthroughs of the user journey with quantitative data on drop-off points.
Tactical advice:
- Perform a full walkthrough of the sign-up and purchasing experience to identify confusing forms or steps.
- Analyze data to see how many users successfully reach the 'aha moment' after signing up.
- Identify parts of the funnel where a small investment could yield the most significant impact.
Insight: Effective growth is a multifaceted effort involving various channels and metrics, from conversion and retention to specific acquisition tactics like SEO and sales.
Tactical advice:
- Use the Racecar Growth Framework to structure your scaling strategy.
- Execute specific channel playbooks for conversion, retention, and virality.
Insight: Effective product growth is driven by combining high-level frameworks with specific optimizations for retention, conversion, and diverse growth loops.
Tactical advice:
- Define a clear north-star metric to provide a singular focus for your team's growth strategy.
- Explore and test various growth loops, including SEO, content-driven growth, and referral programs.
- Optimize funnels by prioritizing tactics that specifically improve retention and conversion.
Insight: A comprehensive growth strategy requires a sequenced approach that moves from unscalable kickstarts to self-sustaining engines, optimized by lubricants and accelerants.
Tactical advice:
- Map out your growth strategy using the specific components: engines, kickstarts, turbo boosts, lubricants, and accelerants.
- Sequence your focus based on your company stage, starting with kickstarts before shifting to a self-sustaining engine.
- Identify and invest in lubricants to help your primary growth engine run more efficiently as you scale.
"The growth engine is a self-sustaining growth loop that drives nearly all your growth long-term. Of all the components, the growth engine is the most important because it’s the only component that can be self-sustaining—creating an output (e.g. revenue) that can then be reinvested into more growth (e.g. ads)."
Insight: Sustainable long-term growth is driven by one of four core loops—SEO, paid ads, sales, or virality—where outputs are directly reinvested to generate new inputs.
Tactical advice:
- Identify which of the four core engines—SEO, paid ads, sales, or virality—best fits your product's natural usage pattern.
- Build your engine into a self-sustaining loop where outputs like revenue or users are reinvested to drive further growth.
- Begin experimenting with a second growth engine before your primary engine reaches its natural limit.
"For a product that relies on trust, there’s nothing more powerful than an endorsement from a friend. Airbnb had a similar trust challenge, both on the guest side (“stay in a stranger’s home, are you crazy?”) and on the host side (“have a stranger stay in my home, are you crazy??”). Referrals proved to be the single biggest attributable growth lever on both sides of the marketplace."
Insight: In industries like fintech where trust is the primary barrier, growth is best achieved by leveraging external validation from friends, authorities, and social proof.
Tactical advice:
- Surface certifications, approvals, and endorsements from authority figures early and often in the user journey.
- Leverage social proof by showing users that people just like them are already using and loving the product.
- Remind users of the product's value through regular status updates, such as interest earned lifetime, to maintain engagement with non-daily use products.
"When paid marketing is just a function, optimizing campaigns in a cubicle, it doesn’t inform the rest of the business and the funnel doesn’t work. There just isn’t much you can do to optimize paid ad campaigns. Instead, our supply organization was fully aligned behind what the demand was looking for."
Insight: Performance marketing should not be an isolated function but a core driver that dictates supply acquisition and business alignment.
Tactical advice:
- Align the supply organization to acquire inventory specifically for high-intent search queries.
- Analyze why you are losing ad auctions to identify missing inventory, poor product content, or pricing issues.
- Follow a systematic diagnostic process: Demand → Inventory → Right Inventory → Availability → Conversion.
"Think about product-channel fit: How can you create a product / company / organization that the machinery of the org was built to fulfill the needs of the customer from that channel?"
Insight: True scale is achieved by building the entire organization's machinery to specifically serve the needs of your primary acquisition channel.
Tactical advice:
- Identify the single channel where users show the highest purchase intent for your category.
- Relentlessly A/B test conversion improvements to make previously unviable marketing campaigns profitable.
- Reinvest margins from high-performing campaigns into testing new frontiers for the business.
"Digital blockbusters are not about a million one-to-one moments as much as they are about a few one-to-one-million moments. Extended to the full world of hits, this new finding suggests that articles, songs, and products don’t spread like in the first picture we saw. Instead, almost all popular products and ideas have blockbuster moments where they spread from one source to many, many individuals at the same time—not like a virus."
Insight: Massive product growth is typically driven by concentrated one-to-many broadcast moments rather than the mythical many-to-many viral spread.
Tactical advice:
- Reframe your growth model from organic 'viral' loops to identifying 'dark broadcasters' with large audiences.
- Analyze the source of new users to determine if they are coming from true referrals or a single large distribution point.
- Focus on getting your product shared by a few individuals with large platforms rather than hoping for a peer-to-peer chain reaction.
Source: Virality is a myth (mostly) (https://www.lennysnewsletter.com/p/virality-is-a-myth-mostly)
"For B2C businesses, a payback period ofless than 1 month is GREAT, 6 months is GOOD, and 12 months is OK. And the exceptional cases can pay back their acquisition costs on the first transaction."
Insight: Payback period benchmarks vary significantly by business model, requiring startups to measure their efficiency against specific industry standards for B2C, SMB, or Enterprise sectors.
Tactical advice:
- Aim for a B2C payback period of less than 6 months to be considered "good."
- Benchmark B2B SMB products against a 12-month window for "good" performance.
- Target less than 12 months for B2B enterprise businesses to reach "great" status.
Source: What is a good payback period? (https://www.lennysnewsletter.com/p/what-is-a-good-payback-period)
Insight: Categorizing growth efforts into engines, boosts, lubricants, and fuel allows teams to balance short-term acceleration with long-term sustainability.
Tactical advice:
- Prioritize your Growth Engine—self-sustaining loops like virality or sales—for long-term compounding value.
- Deploy 'Turbo Boosts' strategically during product launches or when you need a quick burst of user learning.
- Optimize 'Lubricants' such as customer retention and branding to make your existing growth engine run more efficiently.
Source: 60 ideas to boost your growth (https://www.lennysnewsletter.com/p/60-ideas-to-boost-your-growth)
"Many of the early levers we used to drive growth were a moment in time things that no longer work at all or at scale. We used them where we could to bootstrap the company for a period."
Insight: Successful scale requires recognizing when the unscalable tactics used for bootstrapping have reached their expiration date.
Tactical advice:
- Identify the subset of early growth tactics that can actually be automated or scaled up.
- Shift focus to solving top customer complaints with product investments to drive retention-led growth.
- Be prepared to 'flip the switch' from focused local experiments to national or global performance marketing.
"It wasn't until 2015 that we built the "R2D funnel" which became the largest attributable signup source of riders turning into drivers!"
Insight: Growth loops can be intentionally engineered by creating dedicated funnels that convert one side of the marketplace into the other.
Tactical advice:
- Identify cross-side conversion opportunities where users on one side have the attributes to serve the other.
- Integrate acquisition mechanisms into partner or provider websites to create low-cost demand loops.
- Measure the efficiency of turning existing customers into supply as a primary acquisition channel.
Insight: Startups should scale by sequentially moving through growth 'gears,' starting with manual traction tactics before expanding into new markets and scalable loops.
Tactical advice:
- Start with high-effort, manual kickstarts to get initial traction from a standing start.
- Sequence growth by moving from early user acquisition to geographic expansion before settling into paid or viral engines.
- Experiment on a steady flow of initial customers to discover your repeatable, scalable business model.
Insight: A robust growth strategy is built on identifying the core engines—funnels and compounding loops—that drive scalable user acquisition for your specific product.
Tactical advice:
- Identify and map your company's primary growth engine using frameworks like the Racecar Growth Framework.
- Study the difference between linear funnels and compounding growth loops to understand how your product scales.
- Analyze existing growth principles and processes used by top-tier growth teams like Reforge or Airbnb.
Source: Breaking into growth (https://www.lennysnewsletter.com/p/breaking-into-growth)
Insight: Building a great product is only one component of a larger growth framework that must also include channel, model, and market alignment.
Tactical advice:
- Look beyond product-market fit to evaluate 'four fits' including distribution and monetization.
- Avoid the fallacy that a quality product alone is sufficient for success.
- Study how successful products align their go-to-market channels with their product attributes.
"“Most businesses actually get zero distribution channels to work. Poor distribution — not product — is the number one cause of failure.”"
Insight: Failure is more often caused by the inability to acquire users efficiently than by the quality of the product itself.
Tactical advice:
- Identify a unique or untapped distribution channel that provides exclusive access to your target audience.
- Monitor your LTV/CAC ratio to ensure you are acquiring users efficiently and sustainably.
- Develop a clear growth strategy that leverages an inflection in technology or technology adoption.
"A second type of distribution advantage is developing a unique viral loop that allows you to grow more quickly and efficiently than anyone else in your market."
Insight: Sustainable growth can be achieved by architecting loops where supply drives demand and demand drives supply, creating an accelerating flywheel.
Tactical advice:
- Identify natural incentives for your users to bring in other users.
- Incentivize supply to drive demand and vice versa.
- Look for ways your product spreads naturally through its core usage.
"For example, in the case of Amazon, their flywheel makes it clear that growth alone will lead to lower costs over time. Thus, their time is best spent adding sellers and improving the customer experience, vs. directly cutting costs."
Insight: A flywheel provides a strategic framework to distinguish between essential investments that accelerate growth and distractions that offer no compounding value.
Tactical advice:
- Evaluate every potential investment by whether it directly accelerates a specific part of your existing flywheel.
- Prioritize elements that drive the next step in the loop over isolated, non-reinforcing improvements.
- Focus on growth-led efficiency rather than direct cost-cutting to sustain long-term momentum.
Source: Flywheels, flywheels, flywheels (https://www.lennysnewsletter.com/p/flywheels-flywheels-flywheels)
"Initially for Snap, the biggest growth accelerations consistently came from raw, pure, product-innovation-driven growth. Ephemeral messaging in 2011, Stories in 2013, and face filters in 2015—those drove our growth."
Insight: Before turning to traditional growth tactics like performance marketing, core product innovations often provide the most significant growth unlocks.
Tactical advice:
- Prioritize high-impact features that provide clear leverage to the user, similar to Figma's Team Libraries.
- Shift to traditional growth tactics like localization and notifications only after the product has established its core value.
- Test unlikely combinations of offerings, as Netflix did with subscriptions and no late fees, to find a winning product model.
Source: Growth inflections (https://www.lennysnewsletter.com/p/growth-inflections)
"Many of the most durable inflections came from the company leaning into their primary growth engine (e.g. SEO, virality)"
Insight: Long-term sustainability is built by identifying your most effective growth engine and optimizing it through technical and operational excellence.
Tactical advice:
- Identify whether your product's growth is primarily driven by SEO, virality, paid acquisition, or partnerships.
- Invest in custom-built internal infrastructure, such as driver tracking or translation platforms, to scale that engine.
- Iterate on your engine until it becomes a 'well-oiled' machine that sustains growth beyond initial product hits.
Source: Growth inflections (https://www.lennysnewsletter.com/p/growth-inflections)
"We prioritized working on retention over new-user acquisition because all of our new-user acquisition was organic, and, at the time, we didn’t have an obvious lever to pull to supercharge that."
Insight: When organic acquisition is already strong, the most efficient path to growth is often fixing 'leaky bucket' retention issues through gamification and engagement loops.
Tactical advice:
- Evaluate if your acquisition is primarily organic before deciding to invest heavily in new acquisition channels.
- Analyze retention rates of specific segments (like New vs. Current users) to find the biggest drop-off points.
- Focus growth squad resources on increasing current user retention rates to maximize the compounding effect of organic traffic.
"Where should you invest? In addition to the tips I’ve included throughout, I suggest working your way through these five steps: Step 1: Who are your early adopters? Step 2: Where do they spend time? Step 3: What’s the quickest way you can get in front of this group? Step 4: What’s the cheapest way you can get in front of this group? Step 5: How can you stand out when you communicate with this group?"
Insight: Selecting a growth channel is a process of elimination that starts with understanding user behavior and identifying your product's unique value proposition.
Tactical advice:
- Map your target audience's daily habits to identify where they naturally encounter new products.
- Prioritize speed and cost to find the most efficient ways to test a discovery channel.
- Synthesize your product's story into a communication strategy that clearly solves a big problem for the group.
"A correlation analysis will tell you how strongly the use of a feature is related to the movement of your various growth metrics. There are many popular, easy-to-use tools (including some free ones) for quickly doing a correlation analysis, or you can even do it pretty easily in a spreadsheet."
Insight: Quantitative analysis allows you to move beyond intuition and identify the specific product behaviors that actually drive business growth.
Tactical advice:
- Map feature usage to core KPIs like retention or revenue using linear regression tools.
- Use spreadsheets or standard analytics software to calculate the strength of relationship between feature adoption and growth.
- Acknowledge correlation is not causation, but use it as a primary signal for where to double down.
"Linear regression is also often used for predicting averages for user activity, growth, and revenue. For example, at Change.org I used regression to forecast the day and time when we hit 200 million users (and I was within 10 minutes right!)."
Insight: By modeling the current trend of historical data, linear regression can provide highly accurate estimates for when specific growth milestones will be reached.
Tactical advice:
- Forecast future milestones by projecting current growth trends onto a timeline using linear regression.
- Predict user activity by calculating how many days of app usage are required to upgrade a user to a paid subscription plan.
- Monitor the 'current trend' closely to ensure the regression model remains accurate as product features or market conditions change.
"As you explore potential product-market fit, it is crucial to have hypotheses on how you will distribute your product. For example, if you are planning to be product-led, then the product has to be designed with acquisition, monetization, and retention distribution goals in mind from the very beginning."
Insight: Distribution strategy cannot be outsourced or delayed; it must be hypothesized and integrated into the product design before reaching product-market fit.
Tactical advice:
- Determine if your growth model will be product-led, marketing-led, sales-led, or a combination thereof.
- Design product experiences specifically to resolve distribution goals rather than just building core functionality.
- Assess your PMF strategy early to develop predictable and sustainable distribution methods.
"Founder-led growth is the best path here, where the founder drives growth efforts across product-led, marketing-led, or sales-led motions. The benefit of founder-led growth at this stage is quick decision-making, tight alignment to vision and customer, and, perhaps most importantly, leading by example to set up the growth mindset within the company culture."
Insight: Personal leadership by founders during the search for PMF ensures growth initiatives are tightly aligned with the company vision and builds a necessary growth culture.
Tactical advice:
- Drive initial sales, prototype marketing channels, and prioritize growth-focused product experiences personally as a founder.
- Look for internal candidates with existing business context if you must hire dedicated growth talent during the PMF search.
- Prioritize hires with high iteration and learning velocity over those with deep specialized experience at the earliest stages.
"Most companies find the vast majority of their growth from just one of those four growth engines, and until you’ve scaled your core engine, time spent optimizing a secondary or tertiary engine is rarely time well spent."
Insight: Identify the one primary engine that matches your product's natural strengths—virality, marketing, content, or sales—and focus on it exclusively until it is fully scaled.
Tactical advice:
- Choose sales if your product has high average order values and requires hand-holding for success.
- Select content if your users generate public data or reviews that can attract new traffic.
- Opt for performance marketing if you can fund acquisition directly from the revenue generated by new users.
Source: How to increase virality (https://www.lennysnewsletter.com/p/how-to-increase-virality)
Insight: Growth efficiency comes from matching acquisition tactics to your specific startup archetype rather than trying every possible method.
Tactical advice:
- Determine if your startup is a general consumer app, a marketplace, or a 'remarkable story' company.
- Select 2-3 strategies from the recommended tactics for your specific archetype.
- Double down on the channels that demonstrate the most traction and move on from those that don't.
"The restaurant industry is very tight. Every restaurateur sure knows each other -- so if someone is trying something out, there is a virality that takes place. We benefited from that. A year or two later, with the transient nature of restaurant employees, they are bouncing every couple of years -- if they go from one restaurant that’s using OpenTable, the first thing they say to the owner is that you have to get this software."
Insight: Supply-side growth loops often rely on peer-to-peer virality and the natural movement of workers between businesses within a tight-knit industry.
Tactical advice:
- Focus acquisition on peer leaders who are highly visible within their specific industry.
- Design products that make it easy for suppliers to follow their peers onto the platform.
- Target industries with high employee turnover to spread platform awareness as workers change jobs.
Insight: AI search tools can distill complex growth histories and mechanics into actionable insights for developing your own product strategy.
Tactical advice:
- Ask for a walkthrough of the evolution of successful referral programs like Dropbox’s to understand why they worked.
- Use prompts to explain complex growth accounting concepts to get a better handle on retention and expansion.
- Request incrementality test designs to help optimize and measure advertising campaign performance.
"By this point, you have a startup idea, a product, some early users, and hopefully a glimmer of product-market fit. Even if you don’t have any of these, you should still be thinking about how your product will grow as you scale. How you grow will impact what you build, and what you build will impact how you grow."
Insight: Growth lubricants like conversion and retention optimization are only effective when they are designed in tandem with the product's core growth engine.
Tactical advice:
- Iterate on your product's core experience until retention is high enough to sustain an engine.
- Identify friction points in your activation flow that are preventing users from reaching the 'Aha' moment.
- Ensure your brand identity lowers acquisition costs by making paid or organic reach more credible.
"SEO becomes a ranking-algorithm competition (who can capitalize on their content in such a way that ‘deciders’ like Google want to continue to send traffic their way)."
Insight: Every growth engine requires a specific 'fuel'—such as proprietary content for SEO or capital for paid ads—that must be secured and scaled alongside the product.
Tactical advice:
- Identify the specific input (content, cash, or invites) that your chosen engine needs to run.
- Incentivize your users to create the 'fuel' (like quality reviews) needed for search engines to rank your pages.
- Ensure a steady supply of this input before dedicating your entire engineering team to scaling the engine.
"The key is that your supply has a clear motivation to bring you demand. With this loop, Cameo can focus most of its efforts into recruiting celebrities, knowing that much of the other side of the marketplace will come along for free."
Insight: Marketplaces can significantly lower acquisition costs by recruiting suppliers who have an inherent motivation to bring their own audience to the platform.
Tactical advice:
- Target suppliers who already have an established following or customer base, such as writers with newsletters or celebrities with fans.
- Provide tools that make it easy for suppliers to share their platform-hosted profile or storefront with their existing customers.
- Offer incentives for suppliers to move their pre-existing business onto the platform, such as waived fees for orders from their own contacts.
Source: Magical growth loops (https://www.lennysnewsletter.com/p/magical-growth-loops)
Insight: Mastering growth requires understanding the mechanics of loops, retention, and engagement rather than just top-of-funnel acquisition.
Tactical advice:
- Participate in growth-focused series to understand the mechanics of retention loops.
- Deepen your knowledge of experimentation and testing methodologies through specialized sprints.
- Focus on engagement and retention metrics as the foundation for sustainable product growth.
Source: My favorite PM courses (https://www.lennysnewsletter.com/p/my-favorite-pm-courses)
"Go through your own flow. Put yourself in the shoes of your major customer groups. Where do you find yourself getting stuck, confused about what to do next, or distracted?"
Insight: A comprehensive funnel audit requires combining personal walkthroughs, observation of non-technical users, and granular data analysis across different user segments.
Tactical advice:
- Watch non-tech-savvy friends or older relatives attempt to navigate the product experience.
- Research your audience by talking to marketing teams to understand which messaging effectively speaks to core motivations.
- Compare funnel performance step-by-step across user groups like device, browser, and demographic to find inconsistent drop-offs.
Insight: The sustainability of a PLG model depends on keeping acquisition costs extremely low to account for churn and operational expenses.
Tactical advice:
- Calculate first-year spend for every unique visitor to determine your maximum CAC ceiling.
- Benchmark your funnel against a 6% visitor-to-signup and 5% signup-to-customer conversion rate.
- Factor in churn and service costs when modeling long-term unit economics.
Source: Product-led marketing (https://www.lennysnewsletter.com/p/product-led-marketing)
"Start with your business’ north star metric —whether it’s revenue, subscriptions, or media consumed— and figure out what set of levers move that metric. [...] This combination of levers is often referred to as a company’s growth model. When you do this right, all of the levers add up to 100% of what drives the business."
Insight: Mapping your growth model allows you to identify the specific mathematical levers that drive your North Star metric and reveal your business's biggest constraints.
Tactical advice:
- Identify the collection of levers that account for 100% of what drives your business's success.
- Determine which specific lever presents the largest constraint or bottleneck for current growth.
- Set a concrete, trackable metric for the team that focuses entirely on unlocking that specific bottleneck.
Source: Setting goals (https://www.lennysnewsletter.com/p/setting-goals)
"The concept of atomic networks is powerful because if you can build one, you can probably build two. Each one often becomes easier, because each network can be intertwined with the next—Slack’s success within one company can help it become successful in another, as employees move about and introduce the product to new workplaces."
Insight: Scaling a network-effect business is a process of 'copying and pasting' successful atomic networks into adjacent markets until they become interconnected.
Tactical advice:
- Replicate the initial launch playbook across new cities, campuses, or teams to build adjacent networks.
- Intertwine new networks with existing ones to make each subsequent launch easier.
- Focus on density-driven organic connections to strengthen network effects as you expand beyond your first niche.
Source: The Atomic Network (https://www.lennysnewsletter.com/p/the-atomic-network)
"Payback period: Average time to pay back CAC. Gross margins: Net sales revenue minus the cost of goods sold. ARPU: Average revenue per user. Growth spend efficiency: CAC/LTV."
Insight: Unit economics provide the necessary context to determine if your customer acquisition and monetization strategies are sustainable.
Tactical advice:
- Calculate your payback period to determine the average time required to recoup CAC.
- Monitor gross margins to ensure net sales revenue significantly exceeds the cost of goods sold.
- Track the SaaS Quick Ratio to compare new and expansion MRR against contraction and churn.
"Turbo boosts are one-off events that accelerate growth temporarily but don’t last. There’s some overlap here with kickstarts, but the difference is that kickstarts are effective for getting you started (e.g. unscalable, scrappy, low investment), while turbo boosts can accelerate growth at any point."
Insight: Temporary surges in growth can be manufactured at any stage through time-bound, high-impact events like PR, viral content, or major platform features.
Tactical advice:
- Plan and execute one-off events such as product launches, marketing campaigns, or sponsoring major industry gatherings.
- Leverage PR and influencer mentions to generate short-term spikes in traffic and user signups.
- Release viral mini-products or controversy-driven content to capture public attention and accelerate growth temporarily.
"Fuel is the input that your engine runs on. The way to think about fuel tactically is to work backward from your engine—the more (right kind of) fuel you have (e.g. more users), the faster you’ll grow (e.g. more virality)."
Insight: A growth engine is only effective if you can consistently provide the specific input it requires, whether that is content, capital, or active users.
Tactical advice:
- Invest heavily in content creation if your primary growth engine is SEO-driven.
- Prioritize capital efficiency and fundraising if your engine relies on paid ads or a high-touch sales force.
- Focus on user engagement and retention to provide the necessary fuel for a virality-based growth engine.
"People talk about Product-Market Fit. We realized we needed Product-Channel Fit. And it became clear Google AdWords was that for us. Initially, SEO was the primary growth driver, but eventually, growth started to level off because we were doing some gray-hat stuff and Google started to penalize us."
Insight: Growth strategy should evolve from early drivers like SEO to a relentless focus on the paid channel that best matches your product's user intent.
Tactical advice:
- Identify the specific acquisition 'lane' that matches your product's unit economics and user behavior.
- Build internal tools that allow the supply team to see and react to demand signals from paid search.
- Constantly run experiments to increase bookings and monetization, which directly increases the ceiling for marketing spend.
"Even though products don’t grow virally for long, it’s still absolutely worthwhile to optimize mechanisms of virality (e.g. word of mouth, invites, referrals, a remarkable product), since that can drive ongoing (free) growth. At the same time, to ignite (and re-ignite) moments of “virality,” you’ll need to invest in getting large one-to-many broadcasts. For example, PR, influencers, TV."
Insight: A successful growth strategy combines viral loops to maximize ongoing free growth with periodic broadcast events to inject large numbers of new users into those loops.
Tactical advice:
- Optimize referrals and invites to capture as much 'free' linear growth as possible from every new user.
- Schedule periodic one-to-many broadcasts like PR campaigns or influencer launches to spark growth spurts.
- Calculate your k-factor while recognizing that it will naturally decline as networks become exhausted.
Source: Virality is a myth (mostly) (https://www.lennysnewsletter.com/p/virality-is-a-myth-mostly)
"The biggest mistake founders make when calculating their payback period is looking at revenue, without subtracting the cost of good sold (i.e. margin): “If a startup acquires a customer for $100, and that customer generates $10/mo in revenue, with 80% gross margins (or $8 of monthly gross profit), the payback period on a gross profit basis is $100/$8 = 12.5 months.”"
Insight: To avoid artificially optimistic growth metrics, payback periods must be calculated using gross profit rather than top-line revenue.
Tactical advice:
- Divide CAC by monthly gross profit instead of monthly revenue.
- Subtract the cost of goods sold (COGS) from revenue before performing the calculation.
- Exclude brand search from paid campaign buckets to prevent masking true acquisition costs.
Source: What is a good payback period? (https://www.lennysnewsletter.com/p/what-is-a-good-payback-period)
"It’s important for teams to report payback on paid CAC, and not blended. Teams will eventually want granularity into customer quality by acquisition channel, but as a starting point, it’s important to understand how customer value and retention differ for paid vs. organic cohorts and make decisions accordingly."
Insight: Blended payback metrics can be misleading because they allow free organic growth to disguise the inefficiencies of paid acquisition channels.
Tactical advice:
- Report payback on paid CAC specifically rather than using a blended metric.
- Analyze customer quality and retention separately for paid versus organic cohorts.
- Utilize blended payback only in the rare case where the vast majority of growth is organic.
Source: What is a good payback period? (https://www.lennysnewsletter.com/p/what-is-a-good-payback-period)
"Businesses with a high proportion of annual plans will have a shorter payback period because you collect the cash up front! This is a key lever for businesses to pull, especially D2C companies that go after affluent consumers, or really any B2B product. You're effectively getting a ‘loan’ from your current customers to buy more future customers."
Insight: Startups can accelerate their growth loops by incentivizing upfront cash collection through annual plans, effectively creating a self-funding acquisition engine.
Tactical advice:
- Incentivize annual plans by pricing them at a discount, such as 10x the monthly rate.
- Implement PLG self-serve motions to reduce sales friction and increase efficiency.
- Monitor incremental payback to ensure that scaling spend is actually acquiring new customers profitably.
Source: What is a good payback period? (https://www.lennysnewsletter.com/p/what-is-a-good-payback-period)
"It is important to remember that what really matters is the ultimate LTV of the customer. If your product is incredibly sticky (i.e. more than 5-year LTV) or shows high growth in account (through additional usage fees/upsell/cross-sell), an 18-month payback period may be really good."
Insight: While short payback periods are generally preferred, longer windows are strategically sound for mature businesses with highly predictable, high-value customer lifetimes.
Tactical advice:
- Allow for longer payback targets if the product has high stickiness or significant upsell potential.
- Tolerate temporary increases in payback period when rapidly scaling a sales team and reps are still ramping.
- Accept longer recovery times if the spend is fueling essential growth loops or critical market segments.
Source: What is a good payback period? (https://www.lennysnewsletter.com/p/what-is-a-good-payback-period)
"I tend to start with a baseline of wanting to see payback within 6-12 months. That’s usually something that you can predict with relatively decent confidence and, if you’re growing quickly, allows you to account for that the fact the makeup of your customer, product, and even pricing may change a lot within a year."
Insight: Initial payback targets should be set based on the specific loyalty, purchase frequency, and switching costs inherent to your product's category.
Tactical advice:
- Target payback in the first transaction (1-7 days) for low-loyalty, low-frequency products like travel.
- Aim for a 1-to-3-month payback for high-frequency but low-loyalty products like mobile games.
- Set a 3-to-6-month window for mid-low cost, high-frequency services like streaming.
Source: What is a good payback period? (https://www.lennysnewsletter.com/p/what-is-a-good-payback-period)
"Increasingly, startups are focusing on payback periods over LTV/CAC ratios because accurately calculating LTV for an early-stage company is highly suspect. This is the same reason you don’t want long payback periods for early-stage companies."
Insight: Payback period is a superior metric for early-stage startups because it provides a concrete measure of cash flow rather than relying on speculative long-term LTV projections.
Tactical advice:
- Prioritize payback period over LTV/CAC ratios to manage cash more effectively in the early stages.
- Shorten payback cycles to increase the velocity at which you can reinvest in growth without raising more capital.
- Avoid long payback periods for early-stage cohorts where retention data is still unproven.
Source: What is a good payback period? (https://www.lennysnewsletter.com/p/what-is-a-good-payback-period)
"Beyond simply growth, it’s equally important to look at components of ARR (new, retained, expansion, resurrection, contraction, churn) and customer concentration, and be mindful of the sustainability of growth (e.g. how’s sales efficiency and CAC payback? How does new ARR compare to sales and marketing spend?)."
Insight: Investor interest depends on the quality and sustainability of revenue, requiring a deep breakdown of ARR components and efficiency metrics beyond the headline growth rate.
Tactical advice:
- Audit your ARR by breaking it down into new, retained, expansion, resurrection, contraction, and churn components.
- Calculate sales efficiency and CAC payback periods to prove the growth is sustainable.
- Monitor customer concentration to ensure revenue is not overly dependent on a small number of accounts.
Source: What is a good growth rate (https://www.lennysnewsletter.com/p/what-is-a-good-growth-rate)
Insight: Industry benchmarks provide the necessary context to determine whether a startup should focus on fixing a leaky bucket or scaling its acquisition efforts.
Tactical advice:
- Prioritize retention over acquisition if your 6-month rates fall significantly below the 'good' benchmark for your business type.
- Factor in CAC and marginal costs; lower retention may be acceptable if acquisition costs are extremely low through virality or SEO.
- Recognize that it is much harder to increase retention once a product is mature, making early retention health critical.
Source: What is good retention? (https://www.lennysnewsletter.com/p/what-is-good-retention)
Insight: Delaying the adoption of scalable growth channels like SEO allows competitors to capture the market and outrank your platform.
Tactical advice:
- Invest in SEO and email channels earlier in the company lifecycle.
- Study successful content platforms to learn how to curate user-generated content.
- Expand into critical geographic markets before local competitors become entrenched.
Insight: Selecting a community objective should be driven by your company's current stage—from product feedback in pre-PMF to customer support in maturity.
Tactical advice:
- Map your business needs to the SPACES model to identify your primary community objective.
- Focus on the 'Product' objective in the pre-product-market-fit stage to collect insights from beta users in a shared space.
- Shift to 'Acquisition' and 'Engagement' during the growth stage to grow the customer base and increase retention.
Source: A founder’s guide to community (https://www.lennysnewsletter.com/p/a-founders-guide-to-community)
Insight: A comprehensive growth strategy categorizes levers into early kickstarts, repeatable engines, efficiency lubricants, temporary spikes, and mid-stage accelerants.
Tactical advice:
- Categorize growth efforts into kickstarts, engines, lubricants, turbo boosts, and accelerants.
- Focus on lubricants like conversion and retention to improve the efficiency of existing growth loops.
- Deploy mid-stage growth accelerants like geographic expansion once product-market fit is established.
Insight: Growth inflections typically stem from product improvements, external events, or doubling down on primary growth engines.
Tactical advice:
- Categorize past growth spikes to identify if they were driven by product changes or external factors.
- Monitor for unexpected external events that could serve as a natural catalyst for awareness.
- Analyze your primary growth engine (like SEO or virality) to find ways to lean into what is already working.
Source: Growth inflections (https://www.lennysnewsletter.com/p/growth-inflections)
Insight: Product discovery happens through seven primary channels, and choosing the right one requires aligning your product's nature with the audience's natural behavior.
Tactical advice:
- Identify exactly who your early adopters are and where they spend their time.
- Find the quickest and cheapest ways to get your product in front of that specific group.
- Determine what is remarkable or surprising about your product to stand out during communication.
Insight: Growth loops can be categorized by the direction of recruitment between supply and demand and whether the recruitment is an active choice or a passive byproduct.
Tactical advice:
- Distinguish between active loops, where users intentionally invite others, and passive loops, where growth is a byproduct of using the product.
- Evaluate if your marketplace allows for 'cross-side' loops, such as demand-side users eventually signing up to be supply.
- Map out the user journey to see if a 'Type 3' virality loop or a 'Type 4' supply-to-supply referral program is more feasible for your model.
Source: Magical growth loops (https://www.lennysnewsletter.com/p/magical-growth-loops)
Insight: Prioritize conversion efforts by focusing first on user motivation, then focus, and finally friction, as increasing intent often provides the greatest upside.
Tactical advice:
- Ideate across motivation, focus, and friction levers before narrowing down.
- Include a mix of high-risk big changes and low-risk small changes to maintain consistent progress.
- Dig into what has worked in the past until you run out of high ROI opportunities.
Insight: A successful company requires a research-backed growth model that matches specific business levers with accountable motions like product, sales, or marketing.
Tactical advice:
- Identify your specific growth levers: acquisition, retention, and monetization.
- Assign a growth motion, such as product-led or sales-led, to each individual lever.
- Research, build, and iterate on your growth model with the same rigor as your product.
Source: Six rules of hiring for growth (https://www.lennysnewsletter.com/p/six-rules-of-hiring-for-growth)
Insight:
Insight: Examining the flywheel structures of category-leading companies provides a structural starting point for identifying the specific growth drivers in your own business.
Tactical advice:
- Study simple diagrams from companies like Netflix or DoorDash to understand how they link assets to user needs.
- Use established business archetypes like 'Network Effects' or 'Content Communities' to see which fits your business model.
- Analyze past replicable successes and failures to identify the recurring actions that historically led to breakthrough growth.
Source: Flywheels, flywheels, flywheels (https://www.lennysnewsletter.com/p/flywheels-flywheels-flywheels)
Insight: Optimization levers like conversion and retention act as essential lubrication that prevents your primary growth engine from stalling or becoming too expensive to maintain.
Tactical advice:
- Prioritize increasing conversion rates and user retention to maximize the efficiency of your existing growth engines.
- Improve activation rates and customer success efforts to ensure more acquired users reach the value realization point.
- Optimize your pricing strategy to increase the capital available for reinvestment into your growth loops.
Insight: Once a core growth engine is established and scaled, secondary levers like channel partnerships or geographic expansion can unlock new tiers of growth.
Tactical advice:
- Explore channel partnerships to reach new segments through the established user bases of other companies.
- Execute geographic expansion to bring your validated product and growth engine into new regional markets.
- Consider category expansion to broaden your product's appeal once you have achieved high penetration in your initial niche.
Maya Prohovnik
"We were obsessed with reducing friction, this was our constant battle. And so we hired a couple of college interns and we brought them in and we were like, people are going to push this magical one button in the Anchor app and they're going to say, I want to distribute my podcast, and your job is going to be to do all that same manual stuff manually, but to them it's going to feel magical and it happened automatically."
Insight: Validating a "magical" user experience through manual, unscalable labor allows you to capture market share before investing in expensive technical automation.
Tactical advice:
- Identify high-friction manual barriers for users and simulate an automated solution using backend human labor.
- Hire temporary staff to handle repetitive manual operations that create a 'magical' experience for the user.
- Focus on delivering immediate value to users to commoditize competitors who require more effort from their customers.
Source: Building Anchor, selling to Spotify, and lessons learned | Maya Prohovnik (Spotify’s Head of Podcast Product) (https://www.youtube.com/watch?v=1gXNOJEWajU) @ 00:29:42
Meltem Kuran
"The next step would be, can people find it? If they can't find it, do you need to write content to make sure that people can find it? Only after all of those questions are answered, should you then consider, do I have money? Can I put it behind some paid ads to make sure people come to my website?"
Insight: Successful marketing follows a strict hierarchy where technical performance and organic discoverability must be optimized before scaling with paid acquisition.
Tactical advice:
- Audit website speed and indexing to establish a technical foundation before driving traffic.
- Develop organic content to prove that users can find and derive value from your site for free.
- Delay paid advertising investment until your core site experience and organic funnel are fully operational.
Source: An inside look at Deel’s unprecedented growth | Meltem Kuran Berkowitz (Head of Growth) (https://www.youtube.com/watch?v=C1_sM0_ds2c) @ 00:26:39
Naomi Gleit
Insight:
Nikita Bier
"We found that as a user got older from age 13 to 18, the number of people that they invite to an app just declines almost exponentially. Finally, and the most important thing is they see each other every day, and that is so critical."
Insight: Viral growth is exponentially easier to achieve in younger demographics because their social habits are malleable and they maintain high daily physical density.
Tactical advice:
- Target the 13-18 age cohort to maximize organic invitations and network effects.
- Focus on demographics that 'see each other every day' in physical environments like schools.
- Build for younger users to avoid the high venture capital requirements of paid adult acquisition.
Source: How to consistently go viral: Nikita Bier’s playbook for winning at consumer apps (co-founder of TBH, Gas, advisor, investor) (https://www.youtube.com/watch?v=bhnfZhJWCWY) @ 00:10:55
Sachin Monga
Insight: Building a network requires moving beyond single-user utility toward features that create growth through the interconnectedness of all users on the platform.
Tactical advice:
- Prioritize features where the supply-side of the platform directly drives its own demand and growth.
- Design mechanisms that allow creators to recommend or promote one another within the platform ecosystem.
- Shift from building standalone tools to building a networked environment once a critical mass of users is established.
Source: Building Substack | Sachin Monga (Substack, Facebook) (https://www.youtube.com/watch?v=zKP2HrMc23s) @ 00:22:17
Sarah Tavel
"This is where I love to think of every time a user users your product, let's say they're clicking on the mouse or they're tapping on their phone, I love to think of it as this kinetic energy that they're putting into your product. You're taking that energy, and your job with a great product, is to take that energy and, as much as possible, convert it back to the experience that they're having with your product."
Insight: Sustainable organic growth is achieved by converting individual user energy into collective network effects that improve the product for everyone.
Tactical advice:
- Capture user 'kinetic energy' from clicks and taps and convert it into broader product value.
- Design core actions so that one user's investment improves the experience for others.
- Prioritize maximizing network effects to create a self-perpetuating cycle of value.
Source: The hierarchy of engagement | Sarah Tavel (Benchmark, Greylock, Pinterest) (https://www.youtube.com/watch?v=H9g4pzcz6Tk) @ 00:13:57
Scott Belsky
Insight:
Shishir Mehrotra
"But I highly encourage drawing a diagram like this for your business. I'll flash it up on screen for a second and I'll describe it, but this is what the diagram looks like, black loop, blue loop, and it's basically the two different ways that our product spreads. The Black Loop is someone comes in, they make a doc, they share with a group of people, some subset of the people turn around and make another doc, and the process repeats itself over and over again."
Insight: Visualizing growth as recurring loops rather than linear funnels helps a company identify and optimize the distinct organic mechanisms through which a product spreads.
Tactical advice:
- Draw a formal diagram that maps out your company's specific growth ecosystem.
- Distinguish between viral collaborative loops (internal sharing) and content publishing loops (external sharing).
- Identify the 'share edge' where a user transitions from a consumer to a promoter.
Source: The rituals of great teams | Shishir Mehrotra of Coda, YouTube, Microsoft (https://www.youtube.com/watch?v=7uSuMIJhONA) @ 00:08:47
Sri Batchu
Insight:
Source: Lessons from scaling Ramp | Sri Batchu (Ramp, Instacart, Opendoor) (https://www.youtube.com/watch?v=RcYCU5UAZOk) @ 00:46:49
Sriram and Aarthi
"One of the key takeaways from that piece is the idea that when you have a new network, think of it as a new country, you want the high status people and high status mean they're interesting, people want to be where they are in some shape or form because they have money, they're smart, they're cool, they're good-looking, whatever it may be and you want to get them onto your network. And there's exactly an interesting corollary that they're often underserved by other existing platforms. And because if they're already well-served, they wouldn't want to move to you."
Insight: To bootstrap a social network, recruit high-status individuals who are underserved by existing platforms, as they are the most likely to migrate to a new ecosystem and anchor the network.
Tactical advice:
- Identify high-status individuals who are currently underserved or overlooked by dominant social platforms.
- Focus on creators who are willing to move to a new 'country' because they aren't already the 'kings' of existing networks.
- Cultivate homegrown talent that builds its identity and following specifically through your platform's unique mechanics.
Source: Hot takes and techno-optimism from tech’s top power couple | Sriram and Aarthi (https://www.youtube.com/watch?v=HsD5ycT_umw) @ 00:09:21
Tom Conrad
Insight: Optimization of unit economics is more effective for scaling a subscription business than simply increasing paid acquisition spend.
Tactical advice:
- Build financial models that pinpoint the highest-leverage growth levers.
- Focus product efforts on expanding user LTV rather than top-of-funnel volume.
- Identify and fix churn points before scaling marketing spend.
Source: Billion dollar failures, and billion dollar success | Tom Conrad (Quibi, Pandora, Pets.com, Snap, Zero) (https://www.youtube.com/watch?v=maK0XD9ARoI) @ 01:10:31
Varun Parmar
Insight: Drive product-led growth by building viral collaborative loops and leveraging community-generated content.
Tactical advice:
- Build viral loops directly into core collaborative product features.
- Use community templates and SEO as primary acquisition channels.
- Evolve from a trial model to a freemium model to lower the barrier for team adoption.
Yuriy Timen
"If you have really healthy LTVs, and that usually means that you're attracting a proconsumer buyer, so they may be single player, but they're using it for work. And so maybe they're dispensing it or just the perceived value so much higher that they're willing to bear that $120 and $130 a year subscription. If I'm seeing things like that and I'm seeing that you're converting seven, like five plus percent of your free users to a paid subscriber, then there is a big opportunity to play paid and lean into paid growth loops and paid acquisition loops."
Insight: Growth strategy should be dictated by your product's inherent characteristics—LTV, network effects, or searchability—rather than following industry trends.
Tactical advice:
- Assess if your LTV is in the hundreds of dollars to determine if paid acquisition is a viable primary engine.
- Identify if your product has inherent network effects before attempting to engineer viral referral loops.
- Look for long-tail programmatic SEO opportunities if your product targets specific project-based search queries like 'templates'.
Source: How to grow a subscription business | Yuriy Timen (Grammarly, Canva, Airtable) @ 00:10:11
"The only thing that's worse than a channel or a tactic that you tried not working. The only thing that's worse now is when you didn't give it the appropriate shot, right? And you prematurely were erroneously concluded that it doesn't work and it's remarkable how often you find that to be the case when I talk to companies, 'Oh, YouTube, we tried it. It doesn't work.'"
Insight: The failure of a growth channel is often a failure of execution or design rather than the channel itself; ensure every test is robust enough to succeed before abandoning it.
Tactical advice:
- Give every new growth channel an 'appropriate shot' by dedicating sufficient design and resource time to the initial test.
- Audit failed experiments to distinguish between a channel that doesn't fit and a tactic that was poorly executed.
- Focus resources on one primary engine until it is fully optimized before moving to a secondary channel.
Source: How to grow a subscription business | Yuriy Timen (Grammarly, Canva, Airtable) @ 00:32:32
Insight: Startups should prioritize finding and doubling down on a single scalable growth engine before attempting to diversify into secondary channels.
Tactical advice:
- Focus entirely on your kickstart mechanism until you identify one of the three main scalable loops (Paid, SEO, or Virality).
- Avoid premature diversification that dilutes your engineering and marketing focus.
- Only hire specialists for a second growth engine once the first is reaching maturity and diminishing returns.
Source: How to grow a subscription business | Yuriy Timen (Grammarly, Canva, Airtable) @ 00:40:11
Insight: When venture capital markets tighten, growth strategy must pivot from expensive paid acquisition to building high-compounding, organic loops like SEO and product-led virality.
Tactical advice:
- Audit all paid spend to identify 'growth at any cost' tactics that should be cut to extend runway.
- Shift resources toward building defensible organic channels that provide long-term growth without variable costs.
- Prioritize retention-improving product changes over top-of-funnel acquisition spend during capital-constrained periods.
Source: How to grow a subscription business | Yuriy Timen (Grammarly, Canva, Airtable) @ 00:42:22
Zoelle Egner
Insight: Templates should be used strategically to either solve a cold-start problem for users or drive organic discovery through SEO.
Tactical advice:
- Use templates to show users the 'art of the possible' within a flexible, horizontal product.
- Invest in high-quality templates that serve as top-of-funnel acquisition hooks.
- Gather user feedback to identify which template categories provide the most value.
Source: Lessons from Airtable’s unconventional growth strategy | Zoelle Egner (https://www.youtube.com/watch?v=0P8LMyeYl1U) @ 00:58:38
Common questions
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Where does Building a sustainable growth model come from and what license is it under?
Building a sustainable growth model comes from the refoundai/lenny-skills repository on GitHub. That repository has 1.3K GitHub stars. The skill is published under the MIT license.
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