analytics-tracking

Create tracking plans and implement events in GA4, GTM, Mixpanel, and Segment.

5|Updated Mar 27, 2026
One-click install
npx skills add https://github.com/barkleesanders/claude-code-starter --skill analytics-tracking-barkleesanders
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analytics-tracking
Source: https://github.com/barkleesanders/claude-code-starter/tree/main/skills/analytics-tracking
Command: npx skills add https://github.com/barkleesanders/claude-code-starter --skill analytics-tracking-barkleesanders

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill eliminates the frustration of incomplete, broken, or non-compliant analytics tracking that leaves teams unable to accurately measure marketing campaign performance, product feature engagement, or conversion rates, leading to data-driven decisions based on guesswork.

Core Features & Use Cases

  • End-to-End Tracking Setup: Create detailed tracking plans, implement events via GA4, GTM, Mixpanel, Segment, and other tools, and validate implementation for marketing sites, SaaS products, and e-commerce stores.
  • Tracking Debugging & Auditing: Troubleshoot common issues like duplicate events, mismatched conversion data, and broken event firing using built-in validation checklists and tool-specific debugging steps.
  • Privacy Compliance Configuration: Set up GDPR-aligned consent management, cookie banner integration, and data retention settings for EU/UK/CA user bases.
  • Use Case Example: A B2B SaaS team can use this skill to define a full event taxonomy for signups, feature usage, and upgrade events, implement it via GTM, and validate that all events fire correctly without PII leaks.

Quick Start

Use the analytics-tracking skill to build a complete tracking plan for our new e-commerce store that tracks product views, cart additions, and purchase completions in GA4 with proper UTM parameters for all marketing campaigns.

Frequently Asked Questions about analytics-tracking

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a GA4 tracking plan with consistent event naming conventions?

A GA4 tracking plan defines a full event taxonomy for user interactions like signups and purchases, ensuring consistent event naming conventions across your analytics stack. You can implement it via GTM and validate that all events fire correctly without PII leaks.

What's the best way to debug broken conversion tracking and duplicate events in GTM?

Debugging broken conversion tracking involves using built-in validation checklists and tool-specific debugging steps to troubleshoot duplicate events and mismatched conversion data in GTM. This resolves common event firing issues and ensures accurate conversion measurement.

How do I set up GDPR-aligned consent management for analytics tracking?

GDPR-aligned consent management for analytics tracking requires configuring cookie banner integration and data retention settings for EU, UK, and CA user bases. This ensures your GA4, Mixpanel, or Segment implementation remains privacy compliant.

Can I use this analytics tracking approach for both SaaS products and e-commerce stores?

Yes, this analytics tracking approach applies to marketing sites, SaaS products, and e-commerce stores. It supports end-to-end tracking setup for product views, cart additions, feature usage, and purchase completions across platforms like GA4 and Mixpanel.

Why are my UTM parameters showing up as mismatched conversion data in my analytics stack?

Mismatched conversion data from UTM parameters often stems from broken event firing or inconsistent tracking plan implementation. Auditing your UTM strategy design and validating event data quality resolves these tracking discrepancies.

Does this analytics tracking setup work with Mixpanel and Segment?

Yes, this analytics tracking setup supports implementation via Mixpanel and Segment alongside GA4 and GTM. It enables consistent event tracking, data quality validation, and conversion tracking setup across these analytics tools.