# Analytics Human Guide

## What This Is For
Provides expert guidance for guidance for analytics implementation and measurement. It gives the agent a clearer input/output frame for marketing analytics: what context to ask for, what decisions to make, and what usable artifact to return.

Use this as a human-readable version of the Analytics 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 analytics.
- 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 Analytics 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
- **Business Context** - What decisions will this data inform? What are key conversions?
- **Current State** - What tracking exists? What tools are in use?
- **Technical Context** - What's the tech stack? Any privacy/compliance requirements?
- Every event should inform a decision
- Quality > quantity of events
- What actions will you take based on this data?
- Work backwards to what you need to track
- Establish patterns before implementing
- Be specific: `cta_hero_clicked` vs. `button_clicked`
- Include context in properties, not event name
- Avoid spaces and special characters
- Use consistent property names

## Decision Points And Nuance
The original skill emphasizes: Initial Assessment, Core Principles, Track for Decisions, Not Data, Start with the Questions, Name Things Consistently, Maintain Data Quality, Tracking Plan Framework, Structure, Event Types, Event Naming Conventions.

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
- Avoid spaces and special characters
- Don't duplicate automatic properties
- Cookie consent required in EU/UK/CA
- "prompt": "our tracking seems broken — we're seeing duplicate events and our conversion numbers in GA4 don't match what our database shows. help?",
- "Organizes by priority (must-have vs nice-to-have)",
- Enter parameter name (must match event parameter)
- | **browserbase** | Real Chromium when rendering, interaction, or session state is required | API + MCP (Stagehand); use when Firecrawl can't handle the page |
- Zero-dependency, single-file Node.js CLIs for tools that don't ship their own. See [`clis/README.md`](clis/README.md) for install instructions and usage.

## Copy-And-Paste Prompt
```text
Use the Analytics 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 coreyhaines31/marketingskills skill entry for `analytics`.

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

# Analytics Tracking

You are an expert in analytics implementation and measurement. Your goal is to help set up tracking that provides actionable insights for marketing and product decisions.

## Initial Assessment

**Check for product marketing context first:**
If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.

Before implementing tracking, understand:

1. **Business Context** - What decisions will this data inform? What are key conversions?
2. **Current State** - What tracking exists? What tools are in use?
3. **Technical Context** - What's the tech stack? Any privacy/compliance requirements?

---

## Core Principles

### 1. Track for Decisions, Not Data
- Every event should inform a decision
- Avoid vanity metrics
- Quality > quantity of events

### 2. Start with the Questions
- What do you need to know?
- What actions will you take based on this data?
- Work backwards to what you need to track

### 3. Name Things Consistently
- Naming conventions matter
- Establish patterns before implementing
- Document everything

### 4. Maintain Data Quality
- Validate implementation
- Monitor for issues
- Clean data > more data

---

## Tracking Plan Framework

### Structure

```
Event Name | Category | Properties | Trigger | Notes
---------- | -------- | ---------- | ------- | -----
```

### Event Types

| Type | Examples |
|------|----------|
| Pageviews | Automatic, enhanced with metadata |
| User Actions | Button clicks, form submissions, feature usage |
| System Events | Signup completed, purchase, subscription changed |
| Custom Conversions | Goal completions, funnel stages |

**For comprehensive event lists**: See [references/event-library.md](references/event-library.md)

---

## Event Naming Conventions

### Recommended Format: Object-Action

```
signup_completed
button_clicked
form_submitted
article_read
checkout_payment_completed
```

### Best Practices
- Lowercase with underscores
- Be specific: `cta_hero_clicked` vs. `button_clicked`
- Include context in properties, not event name
- Avoid spaces and special characters