New to Claude Skills? Learn how to install them →

davila7 on GitHub

Analytics Tracking

Free

Implement effective analytics for actionable insights.

Get this skill

Free · Opens the source repo

What Analytics Tracking does

The Analytics Tracking skill is designed to assist users in setting up, improving, and auditing their analytics tracking systems. It focuses on providing actionable insights that can inform marketing and product decisions, ensuring that the data collected is not just abundant, but meaningful. This skill is particularly useful for teams looking to establish a robust tracking framework that aligns with their business goals and technical capabilities.

To get started, the skill emphasizes an initial assessment that considers the business context, current state of tracking, and the technical environment. This includes understanding what decisions the data will inform, identifying key conversion actions, and evaluating existing tools like Google Analytics 4 (GA4) or Mixpanel. By laying this groundwork, users can ensure that their tracking implementations are tailored to their specific needs and objectives.

Core principles of the skill guide users in creating effective tracking strategies. These include focusing on tracking for decisions rather than mere data collection, starting with the questions that need answering, maintaining consistent naming conventions, and ensuring data quality. The skill also provides a structured tracking plan framework, detailing essential event types and properties to track, which can be adapted for various contexts such as marketing sites, applications, or e-commerce platforms.

In addition, the skill outlines best practices for implementing tracking in GA4 and Google Tag Manager, including setting up data streams, configuring events, and organizing tags and triggers. By following these guidelines, users can create a comprehensive analytics strategy that not only captures data but also drives informed decision-making across their organization.

When to use it

Use this skill when you need to establish or refine your analytics tracking setup, especially for marketing or product decisions.

When not to use it

This skill is not suitable for users looking for a quick setup without a structured approach to analytics tracking.

What you can build with it

Setting Up GA4 for a New Product

Use this skill to guide the implementation of Google Analytics 4 for a new product launch, ensuring all key events are tracked.

Auditing Existing Analytics Setup

Leverage the skill to conduct a thorough audit of your current analytics tracking to identify gaps and areas for improvement.

Creating a Tracking Plan for Marketing Campaigns

Utilize this skill to develop a comprehensive tracking plan that aligns with your marketing campaign goals, focusing on essential events and conversions.

How to install Analytics Tracking

View source

1. Install with the skills CLI

npx skills add davila7/claude-code-templates/analytics-tracking --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by davila7

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

Before implementing tracking, understand:

  1. Business Context

    • What decisions will this data inform?
    • What are the key conversion actions?
    • What questions need answering?
  2. Current State

    • What tracking exists?
    • What tools are in use (GA4, Mixpanel, Amplitude, etc.)?
    • What's working/not working?
  3. Technical Context

    • What's the tech stack?
    • Who will implement and maintain?
    • 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 | Event Category | Properties | Trigger | Notes
---------- | ------------- | ---------- | ------- | -----

Event Types

Pageviews

  • Automatic in most tools
  • Enhanced with page metadata

User Actions

  • Button clicks
  • Form submissions
  • Feature usage
  • Content interactions

System Events

  • Signup completed
  • Purchase completed
  • Subscription changed
  • Errors occurred

Custom Conversions

  • Goal completions
  • Funnel stages
  • Business-specific milestones

Event Naming Conventions

Format Options

Object-Action (Recommended)

signup_completed
button_clicked
form_submitted
article_read

Action-Object

click_button
submit_form
complete_signup

Category_Object_Action

checkout_payment_completed
blog_article_viewed
onboarding_step_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 to Track

Marketing Site

Navigation

  • page_view (enhanced)
  • outbound_link_clicked
  • scroll_depth (25%, 50%, 75%, 100%)

Engagement

  • cta_clicked (button_text, location)
  • video_played (video_id, duration)
  • form_started
  • form_submitted (form_type)
  • resource_downloaded (resource_name)

Conversion

  • signup_started
  • signup_completed
  • demo_requested
  • contact_submitted

Product/App

Onboarding

  • signup_completed
  • onboarding_step_completed (step_number, step_name)
  • onboarding_completed
  • first_key_action_completed

Core Usage

  • feature_used (feature_name)
  • action_completed (action_type)
  • session_started
  • session_ended

Monetization

  • trial_started
  • pricing_viewed
  • checkout_started
  • purchase_completed (plan, value)
  • subscription_cancelled

E-commerce

Browsing

  • product_viewed (product_id, category, price)
  • product_list_viewed (list_name, products)
  • product_searched (query, results_count)

Cart

  • product_added_to_cart
  • product_removed_from_cart
  • cart_viewed

Checkout

  • checkout_started
  • checkout_step_completed (step)
  • payment_info_entered
  • purchase_completed (order_id, value, products)

Event Properties (Parameters)

Standard Properties to Consider

Page/Screen

  • page_title
  • page_location (URL)
  • page_referrer
  • content_group

User

  • user_id (if logged in)
  • user_type (free, paid, admin)
  • account_id (B2B)
  • plan_type

Campaign

  • source
  • medium
  • campaign
  • content
  • term

Product (e-commerce)

  • product_id
  • product_name
  • category
  • price
  • quantity
  • currency

Timing

  • timestamp
  • session_duration
  • time_on_page

Best Practices

  • Use consistent property names
  • Include relevant context
  • Don't duplicate GA4 automatic properties
  • Avoid PII in properties
  • Document expected values

GA4 Implementation

Configuration

Data Streams

  • One stream per platform (web, iOS, Android)
  • Enable enhanced measurement

Enhanced Measurement Events

  • page_view (automatic)
  • scroll (90% depth)
  • outbound_click
  • site_search
  • video_engagement
  • file_download

Recommended Events

Custom Events (GA4)

// gtag.js
gtag('event', 'signup_completed', {
  'method': 'email',
  'plan': 'free'
});

// Google Tag Manager (dataLayer)
dataLayer.push({
  'event': 'signup_completed',
  'method': 'email',
  'plan': 'free'
});

Conversions Setup

  1. Collect event in GA4
  2. Mark as conversion in Admin > Events
  3. Set conversion counting (once per session or every time)
  4. Import to Google Ads if needed

Custom Dimensions and Metrics

When to use:

  • Properties you want to segment by
  • Metrics you want to aggregate
  • Beyond standard parameters

Setup:

  1. Create in Admin > Custom definitions
  2. Scope: Event, User, or Item
  3. Parameter name must match

Google Tag Manager Implementation

Container Structure

Tags

  • GA4 Configuration (base)
  • GA4 Event tags (one per event or grouped)
  • Conversion pixels (Facebook, LinkedIn, etc.)

Triggers

  • Page View (DOM Ready, Window Loaded)
  • Click - All Elements / Just Links
  • Form Submission
  • Custom Events

Variables

  • Built-in: Click Text, Click URL, Page Path, etc.
  • Data Layer variables
  • JavaScript variables
  • Lookup tables

Best Practices

  • Use folders to organize
  • Consistent naming (Tag_Type_Description)
  • Version notes on every publish
  • Preview mode for testing
  • Workspaces for team collaboration

Data Layer Pattern

// Push custom event
dataLayer.push({
  'event': 'form_submitted',
  'form_name': 'contact',
  'form_location': 'footer'
});

// Set user properties
dataLayer.push({
  'user_id': '12345',
  'user_type': 'premium'
});

// E-commerce event
dataLayer.push({
  'event': 'purchase',
  'ecommerce': {
    'transaction_id': 'T12345',
    'value': 99.99,
    'currency': 'USD',
    'items': [{
      'item_id': 'SKU123',
      'item_name': 'Product Name',
      'price': 99.99
    }]
  }
});

UTM Parameter Strategy

Standard Parameters

ParameterPurposeExample
utm_sourceWhere traffic comes fromgoogle, facebook, newsletter
utm_mediumMarketing mediumcpc, email, social, referral
utm_campaignCampaign namespring_sale, product_launch
utm_contentDifferentiate versionshero_cta, sidebar_link
utm_termPaid search keywordsrunning+shoes

Naming Conventions

Lowercase everything

  • google, not Google
  • email, not Email

Use underscores or hyphens consistently

  • product_launch or product-launch
  • Pick one, stick with it

Be specific but concise

  • blog_footer_cta, not cta1
  • 2024_q1_promo, not promo

UTM Documentation

Track all UTMs in a spreadsheet or tool:

CampaignSourceMediumContentFull URLOwnerDate
.....................

UTM Builder

Provide a consistent UTM builder link to team:

  • Google's URL builder
  • Internal tool
  • Spreadsheet formula

Debugging and Validation

Testing Tools

GA4 DebugView

  • Real-time event monitoring
  • Enable with ?debug_mode=true
  • Or via Chrome extension

GTM Preview Mode

  • Test triggers and tags
  • See data layer state
  • Validate before publish

Browser Extensions

  • GA Debugger
  • Tag Assistant
  • dataLayer Inspector

Validation Checklist

  • Events firing on correct triggers
  • Property values populating correctly
  • No duplicate events
  • Works across browsers
  • Works on mobile
  • Conversions recorded correctly
  • User ID passing when logged in
  • No PII leaking

Common Issues

Events not firing

  • Trigger misconfigured
  • Tag paused
  • GTM not loaded on page

Wrong values

  • Variable not configured
  • Data layer not pushing correctly
  • Timing issues (fire before data ready)

Duplicate events

  • Multiple GTM containers
  • Multiple tag instances
  • Trigger firing multiple times

Privacy and Compliance

Considerations

  • Cookie consent required in EU/UK/CA
  • No PII in analytics properties
  • Data retention settings
  • User deletion capabilities
  • Cross-device tracking consent

Implementation

Consent Mode (GA4)

  • Wait for consent before tracking
  • Use consent mode for partial tracking
  • Integrate with consent management platform

Data Minimization

  • Only collect what you need
  • IP anonymization
  • No PII in custom dimensions

Output Format

Tracking Plan Document

# [Site/Product] Tracking Plan

## Overview
- Tools: GA4, GTM
- Last updated: [Date]
- Owner: [Name]

## Events

### Marketing Events

| Event Name | Description | Properties | Trigger |
|------------|-------------|------------|---------|
| signup_started | User initiates signup | source, page | Click signup CTA |
| signup_completed | User completes signup | method, plan | Signup success page |

### Product Events
[Similar table]

## Custom Dimensions

| Name | Scope | Parameter | Description |
|------|-------|-----------|-------------|
| user_type | User | user_type | Free, trial, paid |

## Conversions

| Conversion | Event | Counting | Google Ads |
|------------|-------|----------|------------|
| Signup | signup_completed | Once per session | Yes |

## UTM Convention

[Guidelines]

Implementation Code

Provide ready-to-use code snippets

Testing Checklist

Specific validation steps


Questions to Ask

If you need more context:

  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?

Related Skills

  • ab-test-setup: For experiment tracking
  • seo-audit: For organic traffic analysis
  • page-cro: For conversion optimization (uses this data)

Frequently asked questions about Analytics Tracking

Similar skills