analytics-tracking
coreyhaines31/marketingskills
Set up, improve, and audit analytics tracking to measure what matters for marketing and product decisions.
What is analytics-tracking?
Expert guidance for implementing analytics tracking across GA4, Google Tag Manager, and other platforms. Use this when setting up conversion tracking, event measurement, UTM parameters, or debugging why analytics isn't working. Helps you define what to track based on business decisions, not vanity metrics.
- Define tracking plans aligned to business decisions and key conversions
- Implement GA4 custom events, Google Tag Manager containers, and UTM parameter strategies
- Establish consistent event naming conventions and property structures
- Debug and validate tracking implementation across browsers and devices
- Ensure privacy compliance with consent modes and data retention policies
How to install analytics-tracking
npx skills add https://github.com/coreyhaines31/marketingskills --skill analytics-trackingHow to use analytics-tracking
- 1.Assess your current tracking setup and identify what tools you're using (GA4, GTM, Mixpanel, etc.)
- 2.Define the business questions your tracking needs to answer and key decisions it will inform
- 3.Create a tracking plan document listing events, properties, and triggers aligned to your goals
- 4.Implement events using the object-action naming convention (e.g., signup_completed, button_clicked)
- 5.Test and validate events are firing correctly using GA4 DebugView or GTM Preview Mode
- 6.Monitor data quality and iterate on your tracking based on what you learn
Use cases
- Set up GA4 tracking for a new marketing website with conversion goals
- Create a tracking plan for product onboarding and feature usage measurement
- Debug why conversion events aren't firing in Google Tag Manager
- Establish UTM parameter naming conventions for multi-channel campaigns
- Audit existing analytics to identify gaps and data quality issues
- Marketing managers measuring campaign performance
- Product managers tracking feature adoption and user behavior
- Growth teams implementing conversion funnels
- Developers implementing analytics code
- Analytics professionals auditing tracking implementations
analytics-tracking FAQ
GA4 is the analytics platform that collects and reports on data. Google Tag Manager is a container that manages tags (like GA4 code) and fires them based on triggers. You typically use GTM to implement GA4 and other tracking tools.
Start with the business decisions you need to make. Work backwards: what data would inform that decision? Track only events that answer a specific question or drive an action. Avoid vanity metrics.
Use object-action format in lowercase with underscores: signup_completed, button_clicked, feature_used. Be specific enough to distinguish different events but consistent in your naming pattern.
Use GA4 consent mode to wait for user consent before tracking, enable IP anonymization, avoid collecting PII in event properties, and integrate with a consent management platform if required by your region.
Use GA4 DebugView for real-time event monitoring, GTM Preview Mode to test triggers before publishing, and browser extensions like Tag Assistant. Validate that events fire on correct triggers and properties populate with correct values.
Full instructions (SKILL.md)
Source of truth, from coreyhaines31/marketingskills.
name: analytics-tracking description: When the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions "set up tracking," "GA4," "Google Analytics," "conversion tracking," "event tracking," "UTM parameters," "tag manager," "GTM," "analytics implementation," "tracking plan," "how do I measure this," "track conversions," "attribution," "Mixpanel," "Segment," "are my events firing," or "analytics isn't working." Use this whenever someone asks how to know if something is working or wants to measure marketing results. For A/B test measurement, see ab-test-setup. metadata: version: 1.1.0
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-context.md exists (or .claude/product-marketing-context.md 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:
- 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?
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
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_clickedvs.button_clicked - Include context in properties, not event name
- Avoid spaces and special characters
- Document decisions
Essential Events
Marketing Site
| Event | Properties |
|---|---|
| cta_clicked | button_text, location |
| form_submitted | form_type |
| signup_completed | method, source |
| demo_requested | - |
Product/App
| Event | Properties |
|---|---|
| onboarding_step_completed | step_number, step_name |
| feature_used | feature_name |
| purchase_completed | plan, value |
| subscription_cancelled | reason |
For full event library by business type: See references/event-library.md
Event Properties
Standard Properties
| Category | Properties |
|---|---|
| Page | page_title, page_location, page_referrer |
| User | user_id, user_type, account_id, plan_type |
| Campaign | source, medium, campaign, content, term |
| Product | product_id, product_name, category, price |
Best Practices
- Use consistent property names
- Include relevant context
- Don't duplicate automatic properties
- Avoid PII in properties
GA4 Implementation
Quick Setup
- Create GA4 property and data stream
- Install gtag.js or GTM
- Enable enhanced measurement
- Configure custom events
- Mark conversions in Admin
Custom Event Example
gtag('event', 'signup_completed', {
'method': 'email',
'plan': 'free'
});
For detailed GA4 implementation: See references/ga4-implementation.md
Google Tag Manager
Container Structure
| Component | Purpose |
|---|---|
| Tags | Code that executes (GA4, pixels) |
| Triggers | When tags fire (page view, click) |
| Variables | Dynamic values (click text, data layer) |
Data Layer Pattern
dataLayer.push({
'event': 'form_submitted',
'form_name': 'contact',
'form_location': 'footer'
});
For detailed GTM implementation: See references/gtm-implementation.md
UTM Parameter Strategy
Standard Parameters
| Parameter | Purpose | Example |
|---|---|---|
| utm_source | Traffic source | google, newsletter |
| utm_medium | Marketing medium | cpc, email, social |
| utm_campaign | Campaign name | spring_sale |
| utm_content | Differentiate versions | hero_cta |
| utm_term | Paid search keywords | running+shoes |
Naming Conventions
- Lowercase everything
- Use underscores or hyphens consistently
- Be specific but concise:
blog_footer_cta, notcta1 - Document all UTMs in a spreadsheet
Debugging and Validation
Testing Tools
| Tool | Use For |
|---|---|
| GA4 DebugView | Real-time event monitoring |
| GTM Preview Mode | Test triggers before publish |
| Browser Extensions | Tag Assistant, dataLayer Inspector |
Validation Checklist
- Events firing on correct triggers
- Property values populating correctly
- No duplicate events
- Works across browsers and mobile
- Conversions recorded correctly
- No PII leaking
Common Issues
| Issue | Check |
|---|---|
| Events not firing | Trigger config, GTM loaded |
| Wrong values | Variable path, data layer structure |
| Duplicate events | Multiple containers, trigger firing twice |
Privacy and Compliance
Considerations
- Cookie consent required in EU/UK/CA
- No PII in analytics properties
- Data retention settings
- User deletion capabilities
Implementation
- Use consent mode (wait for consent)
- IP anonymization
- Only collect what you need
- Integrate with consent management platform
Output Format
Tracking Plan Document
# [Site/Product] Tracking Plan
## Overview
- Tools: GA4, GTM
- Last updated: [Date]
## Events
| Event Name | Description | Properties | Trigger |
|------------|-------------|------------|---------|
| signup_completed | User completes signup | method, plan | Success page |
## Custom Dimensions
| Name | Scope | Parameter |
|------|-------|-----------|
| user_type | User | user_type |
## Conversions
| Conversion | Event | Counting |
|------------|-------|----------|
| Signup | signup_completed | Once per session |
Task-Specific Questions
- What tools are you using (GA4, Mixpanel, etc.)?
- What key actions do you want to track?
- What decisions will this data inform?
- Who implements - dev team or marketing?
- Are there privacy/consent requirements?
- What's already tracked?
Tool Integrations
For implementation, see the tools registry. Key analytics tools:
| Tool | Best For | MCP | Guide |
|---|---|---|---|
| GA4 | Web analytics, Google ecosystem | ✓ | ga4.md |
| Mixpanel | Product analytics, event tracking | - | mixpanel.md |
| Amplitude | Product analytics, cohort analysis | - | amplitude.md |
| PostHog | Open-source analytics, session replay | - | posthog.md |
| Segment | Customer data platform, routing | - | segment.md |
Related Skills
- ab-test-setup: For experiment tracking
- seo-audit: For organic traffic analysis
- page-cro: For conversion optimization (uses this data)
- revops: For pipeline metrics, CRM tracking, and revenue attribution
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