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coreyhaines31/analytics

coreyhaines31

analytics

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-testing.

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v1.0Saved May 15, 2026

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


Event Naming Conventions

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
  • 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

  1. Create GA4 property and data stream
  2. Install gtag.js or GTM
  3. Enable enhanced measurement
  4. Configure custom events
  5. 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, not cta1
  • 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

  1. What tools are you using (GA4, Mixpanel, etc.)?
  2. What key actions do you want to track?
  3. What decisions will this data inform?
  4. Who implements - dev team or marketing?
  5. Are there privacy/consent requirements?
  6. 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

  • ab-testing: For experiment tracking
  • seo-audit: For organic traffic analysis
  • cro: For conversion optimization (uses this data)
  • revops: For pipeline metrics, CRM tracking, and revenue attribution
Files5
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Overall Score

86/100

Grade

A

Excellent

Safety

88

Quality

87

Clarity

86

Completeness

83

Summary

The "analytics" skill provides expert guidance on setting up and implementing analytics tracking using GA4, Google Tag Manager, and related tools. It teaches practitioners how to design tracking plans that serve business decisions, establish consistent naming conventions, implement custom events, and debug tracking issues. The skill is highly structured with reference documentation for GA4, GTM, UTM parameters, and event taxonomy across multiple business types.

Detected Capabilities

file read (product-marketing context, reference files)event design and planningcode examples (JavaScript gtag, GTM dataLayer, custom HTML)debugging guidancebest practices documentationcross-tool integration guidance

Trigger Keywords

Phrases that MCP clients use to match this skill to user intent.

set up analytics trackingGA4 implementationGoogle Tag Manager setuptrack conversionsevent naming conventionsdebug tracking issuesUTM parametersanalytics isn't working

Risk Signals

INFO

Facebook Pixel base tag includes external script from connect.facebook.net

references/gtm-implementation.md:Custom HTML - Facebook Pixel - Base
INFO

GA4 debugging examples reference external support documentation at support.google.com

references/ga4-implementation.md, reference link
INFO

No destructive operations, credential handling, or privilege escalation detected

full content review

Referenced Domains

External domains referenced in skill content, detected by static analysis.

connect.facebook.netgoogle.comsupport.google.com

Use Cases

  • Set up tracking for a new product launch or marketing site
  • Debug broken analytics implementation (missing events, duplicate firing, data mismatches)
  • Design a tracking plan for e-commerce or SaaS products
  • Configure GA4 custom events and conversions
  • Implement Google Tag Manager containers and data layer
  • Establish UTM parameter naming conventions for multi-channel campaigns
  • Ensure GDPR/privacy compliance in analytics setup
  • Create event naming conventions and taxonomy for organizations

Quality Notes

  • Excellent use of reference files to maintain modular, updateable documentation — event library, GA4 guide, GTM guide are self-contained
  • Clear framework approach: 'track for decisions, not data' principle up front sets mindset correctly
  • Comprehensive event taxonomy for multiple business types (SaaS, e-commerce, B2B) with consistent structure and property examples
  • Strong debugging section with real issues and systematic troubleshooting (DebugView, GTM Preview, common causes)
  • Good cross-skill awareness — explicitly defers A/B test measurement to ab-testing skill and links to related skills (cro, seo-audit, revops)
  • Privacy/compliance section covers GDPR, consent modes, and PII risks — important for practitioners
  • Multiple implementation examples (gtag.js, GTM dataLayer, custom events) are practical and well-formatted
  • Event naming conventions documented clearly with before/after examples
  • Task-specific questions at end guide users to provide context
  • Supporting files (evals.json) demonstrate clear intended usage patterns and edge cases
Model: claude-haiku-4-5-20251001Analyzed: May 15, 2026

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