analytics-tracking

Plan, implement, and audit GA4 and GTM analytics tracking.

1|Updated Feb 10, 2026

Search Tags:#analytics #privacy #conversions #tracking #gtm #event #ga4

Ready to run

npx skills add https://github.com/BillChirico/bills-openclaw-skills --skill analytics-tracking-billchirico

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: analytics-tracking
Source: https://github.com/BillChirico/bills-openclaw-skills/tree/main/skills/analytics-tracking
Command: npx skills add https://github.com/BillChirico/bills-openclaw-skills --skill analytics-tracking-billchirico

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams plan, implement, and audit analytics tracking to deliver actionable insights for marketing and product decisions.

Core Features & Use Cases

Define a clear analytics tracking plan including event naming, data layers, and measurement strategy.
Configure and validate GA4 and GTM deployments, including privacy and consent considerations.
Enable robust debugging, data quality checks, and ongoing optimization for marketing, product, and growth metrics.

Quick Start

Configure GA4 and GTM, then implement a minimal event set to validate end-to-end tracking.

Frequently Asked Questions about analytics-tracking

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

FAQPage Schema

How do I create an analytics tracking plan for GA4 and GTM?▼

An analytics tracking plan defines event naming conventions, data layer structures, and measurement strategies for GA4 and GTM. It establishes a clear framework to validate event tracking, conversions, and UTMs across marketing and product use cases.

What is a data layer structure and why is it needed for event tracking?▼

A data layer structure is a JavaScript object that standardizes how information is passed to analytics tools. It is needed for event tracking because it ensures consistent data collection and validates marketing metrics before they reach GA4.

How do I configure GA4 and GTM for privacy and consent management?▼

Configuring GA4 and GTM for privacy involves implementing consent mode parameters within your data layer and tag setup. This ensures tracking complies with privacy regulations while still capturing conversions and event data accurately.

What is the best way to debug and validate GA4 event tracking?▼

The best way to debug GA4 event tracking is to use GTM preview mode alongside GA4 DebugView. This validates your data layer implementation, checks event naming conventions, and confirms conversions are firing correctly end-to-end.

Can I use this approach to audit analytics tracking for both websites and apps?▼

Yes, this approach applies to both websites and apps. It enables robust auditing of analytics tracking, including data quality checks and ongoing optimization for growth metrics using GA4 and GTM event configurations.

Why are my GA4 conversions not tracking correctly in GTM?▼

GA4 conversions often fail to track due to incorrect data layer variables or mismatched event naming conventions in GTM. Debugging with preview mode helps validate the data layer structure and resolve tracking discrepancies.