analytics-tracking

Plan, implement, and validate analytics tracking with GA4 and GTM.

Updated Apr 21, 2026
One-click install
npx skills add https://github.com/scanbott/claude-skills --skill analytics-tracking-scanbott
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analytics-tracking
Source: https://github.com/scanbott/claude-skills/tree/main/analytics-tracking
Command: npx skills add https://github.com/scanbott/claude-skills --skill analytics-tracking-scanbott

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps teams plan, implement, and validate analytics tracking to generate actionable insights that inform marketing and product decisions.

Core Features & Use Cases

  • Establish a tracking plan aligned to business questions, prioritizing decisions over raw data.
  • Define a consistent event taxonomy, naming conventions, and event properties for GA4 and GTM, with built-in debugging and data quality checks.
  • Provide practical guidance and templates for common contexts (Marketing Site, Product/App, E-commerce, and SaaS/B2B) plus references and example implementations.

Quick Start

Create a starter tracking plan by listing essential events, properties, and a GA4/GTM implementation example for your product.

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 for my marketing site?

A GA4 tracking plan defines essential events, properties, and naming conventions aligned to your business questions. It provides structured templates for marketing sites to ensure your analytics setup captures decision-ready data.

What's the best way to define event taxonomy and naming conventions for GTM?

The best way to define event taxonomy for GTM is to map events directly to business questions and establish consistent naming conventions. This structured approach ensures downstream data quality and simplifies debugging validation.

Can I use this approach to validate data quality and debug analytics tracking?

Yes, you can validate data quality and debug analytics tracking using built-in checks within the tracking plan. This ensures your GA4 and GTM implementations capture accurate events and properties for downstream consumption.

Does this analytics tracking method support SaaS and B2B contexts?

Yes, this analytics tracking method supports SaaS and B2B contexts. It provides practical guidance and example implementations specifically tailored for SaaS/B2B, E-commerce, and Product/App environments to ensure relevant data capture.

How do I handle cookies and privacy considerations when implementing GA4 tracking?

To handle cookies and privacy considerations, incorporate them directly into your tracking plan. The approach includes specific guidance on privacy requirements alongside event taxonomy definition to ensure your GA4 and GTM setups remain compliant.

Why do I need a structured output format for my tracking plan?

You need a structured output format for your tracking plan to enable downstream consumption and actionable insights. It organizes event taxonomies, properties, and naming conventions so marketing and product teams can make data-driven decisions.