# B2B marketing playbook — LinkedIn + cold email + webinar pipeline Human Guide

## What This Is For
Complete B2B marketing pipeline combining LinkedIn content, cold email sequences, and webinar funnels. It gives the agent a clearer input/output frame for email marketing: what context to ask for, what decisions to make, and what usable artifact to return.

Use this as a human-readable version of the B2B marketing playbook — LinkedIn + cold email + webinar pipeline agent skill. It is meant for marketers, operators, founders, and other non-coders who want the workflow without reading agent-specific implementation instructions.

## When To Use This
- Use this when you need a repeatable process for B2B marketing playbook — LinkedIn + cold email + webinar pipeline.
- Use this when the task needs judgment, examples, constraints, or a clear output format rather than a one-off prompt.
- Use this when you want to hand an AI assistant enough context to produce a usable marketing artifact.

## When Not To Use This
- Do not use this when you only need a quick factual answer.
- Do not use this when the work depends on private data you cannot share with the assistant.
- Do not use this as a replacement for legal, compliance, financial, or medical review.

## What You Need Before Starting
- The goal or business outcome you want.
- The audience, customer segment, or market context.
- Any source material the assistant should respect, such as notes, briefs, examples, URLs, or brand guidance.
- Constraints such as tone, length, channel, deadline, region, or approval requirements.
- A clear definition of what a good final answer should look like.

## Step-By-Step Workflow
1. State the job clearly: "Use the B2B marketing playbook — LinkedIn + cold email + webinar pipeline guide to help me with..."
2. Add context: audience, goal, offer, channel, source material, and constraints.
3. Ask the assistant to identify missing inputs before producing the final output.
4. Have the assistant follow the skill-specific guidance below.
5. Review the result against the final checklist and ask for revisions where needed.

## Skill-Specific Guidance
- LinkedIn content cadence + DM-to-demo conversion sequences
- Cold email templates with personalization formulas and follow-up timing
- ABM targeting framework with pipeline velocity and CAC benchmarks
- **LinkedIn engine**: Content cadence, engagement pods, and DM-to-demo flow
- **Cold email sequences**: Subject lines, personalization, and follow-up timing
- **Webinar funnel**: Topic selection, promotion, and post-webinar nurture
- **ABM layer**: Account-based targeting for enterprise deals
- **Metrics dashboard**: Pipeline velocity, SQL rate, and CAC benchmarks
- Stage private-deployment payments **3:4:3** (or 4:4:2): tranche one when the first features go live, two at full deployment, the final slice after 3–6 months of operations.
- **30% due the day the contract is signed** — no exceptions. Write a **0.5%-per-day late penalty** into the contract text itself.
- Retain leverage: keep 1–2 features running on infrastructure you control until the final invoice clears. Disclose this before signature and codify it in the terms.
- Chase overdue balances at the top of the customer's org chart, not with your day-to-day contact; if your champion stalls, one or two escalations to the CEO are fair game.

## Decision Points And Nuance
The original skill emphasizes: 📦 Install, Enterprise Deal Mechanics (added 2026), Related Gingiris Skills, Supporting file: _meta.json, Supporting file: .clawhub/origin.json, Supporting file: references/en/README.md, LinkedIn Engine, Cold Email Sequences, Webinar Funnel, ABM Layer.

Use these questions to steer the work:
- What is the intended audience or buyer?
- What source material must be preserved?
- What should the assistant optimize for: clarity, persuasion, accuracy, speed, creativity, or conversion?
- What examples represent the desired quality bar?
- What should the assistant avoid?

## Common Mistakes
- Starting without a clear audience or goal.
- Asking for a final artifact before sharing examples or constraints.
- Accepting a generic first draft without checking it against the intended use.

## Copy-And-Paste Prompt
```text
Use the B2B marketing playbook — LinkedIn + cold email + webinar pipeline human guide.

My goal:
[Describe the business outcome]

Audience:
[Describe who this is for]

Context and source material:
[Paste notes, examples, links, or existing copy]

Constraints:
[Tone, length, channel, timeline, must-include items, must-avoid items]

Before producing the final output, ask me for any missing information that would materially improve the result.
```

## Final Checklist
- [ ] The output matches the original goal.
- [ ] The audience and context are reflected in the answer.
- [ ] Important constraints and source material were preserved.
- [ ] The assistant made the relevant decisions explicit.
- [ ] The final artifact is ready to use, review, or hand to the next person.

## Source
This guide was generated from the gingiris-1031/gingiris-skills skill entry for `b2b-marketing-playbook`.

## Source Skill Notes
These notes preserve the nuance from the original skill. Use them as supporting reference when the workflow above feels too generic.

## 📦 Install

```bash
clawhub install b2b-marketing-playbook
```

**What you get after installing:**
- LinkedIn content cadence + DM-to-demo conversion sequences
- Cold email templates with personalization formulas and follow-up timing
- ABM targeting framework with pipeline velocity and CAC benchmarks

---

# B2B Marketing Playbook — LinkedIn + Cold Email + Webinar Pipeline

> 🌍 **Language / 语言**: [中文](#中文版) | [English](references/en/README.md) | [日本語](references/ja/README.md) | [한국어](references/ko/README.md)

Three proven channels woven into one repeatable pipeline for B2B SaaS.

- **LinkedIn engine**: Content cadence, engagement pods, and DM-to-demo flow
- **Cold email sequences**: Subject lines, personalization, and follow-up timing
- **Webinar funnel**: Topic selection, promotion, and post-webinar nurture
- **ABM layer**: Account-based targeting for enterprise deals
- **Metrics dashboard**: Pipeline velocity, SQL rate, and CAC benchmarks

## Enterprise Deal Mechanics (added 2026)

Marketing gets the meeting; these rules get the money. Distilled from a multi-agent OSS commercialization retrospective:

**Cash structure**
- Stage private-deployment payments **3:4:3** (or 4:4:2): tranche one when the first features go live, two at full deployment, the final slice after 3–6 months of operations.
- **30% due the day the contract is signed** — no exceptions. Write a **0.5%-per-day late penalty** into the contract text itself.
- Retain leverage: keep 1–2 features running on infrastructure you control until the final invoice clears. Disclose this before signature and codify it in the terms.
- Chase overdue balances at the top of the customer's org chart, not with your day-to-day contact; if your champion stalls, one or two escalations to the CEO are fair game.

**Scope defense**
- Split the customer's raw wishlist (SOR) from the signed commitment (SOW carrying acceptance criteria, delivery milestones, and change clauses). The SOW is signed alongside the contract, same day.
- Every modification flows through a change-control step: written request → both project managers price the impact on cost and schedule → signed amendment. Verbal enthusiasm on calls binds nobody — paper or it didn't happen.
- Name the acceptance sign-off person in the contract; keep records of every meeting and decision.

**Negotiation posture**
- They ask for 50 features and you could build 40: commit to 10, then "stretch" to 15 as a favor. Generosity you planned is leverage; generosity they extracted is lost margin.
- Price unwanted work high instead of declining it — the quote does the refusing.
- Only two requests genuinely justify on-prem: data privacy and internal permission-system integration; everything else belongs on SaaS. SaaS customization → sell a license. SSO-style integrations → open your API plus standard docs and let the customer build.

**Revenue arithmetic**
- $1M ARR = nine ~$100K enterprise accounts (typical split: $30–50K standard service + $30K implementation + $20K training) **or** five hundred $200/yr subscriptions. Run each leg as its own closed loop.
- Partner economics: referral resellers earn 10–20%; silver tier (>$100K/yr sold) 15%; gold (>$300K) 20%. Vet any partner with three questions — what they carried before, where their customers come from, reseller vs service partner.
- Content ratio that closes: 80% "how we made customers successful," 20% about yourself. Decks open with the buyer's pain, then the fix.

## Related Gingiris Skills
- Full version: https://clawhub.ai/gingiris-1031/skills/gingiris-b2b-growth
- All skills: https://clawhub.ai/gingiris-1031
- Follow: [@WeiYipei on X](https://x.com/WeiYipei)

---

## Supporting file: _meta.json

```json
{
  "ownerId": "kn71ssmn8xj5cgbj8dgnbr4dvs87rhh8",
  "slug": "b2b-marketing-playbook",
  "version": "1.2.1",
  "publishedAt": 1780410587055
}
```

---

## Supporting file: .clawhub/origin.json

```json
{
  "version": 1,
  "registry": "https://clawhub.ai",
  "slug": "b2b-marketing-playbook",
  "installedVersion": "1.2.1",
  "installedAt": 1781587105351
}