analytics-tracking

Configure GA4 and GTM analytics tracking with event naming and data quality checks.

6|1|Updated Feb 8, 2026
One-click install
npx skills add https://github.com/almeidamarcell/claude-code-skills --skill analytics-tracking-almeidamarcell
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analytics-tracking
Source: https://github.com/almeidamarcell/claude-code-skills/tree/main/mkt-skills%28not-tested%29/mkt-analytics-tracking
Command: npx skills add https://github.com/almeidamarcell/claude-code-skills --skill analytics-tracking-almeidamarcell

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a structured approach to design, implement, and audit analytics tracking so teams can turn data into actionable decisions.

Core Features & Use Cases

  • Define a tracking plan with consistent event naming and properties
  • Implement GA4 + GTM configurations across web and apps
  • Ensure data quality, privacy compliance, and robust debugging workflows

Quick Start

Install GA4 and GTM, then begin collecting and validating analytics data across web and apps.

Frequently Asked Questions about analytics-tracking

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

FAQPage Schema
How do I set up GA4 and GTM tracking for a marketing site?

Setting up GA4 and GTM tracking involves installing the containers, defining a structured tracking plan for event naming, and validating data quality across web pages. This approach captures decision-ready analytics data for marketing funnels.

What is a structured tracking plan for event naming conventions?

A structured tracking plan standardizes event names and properties across product apps and onboarding funnels. It ensures consistent data capture, clear conversion mappings, and reliable analytics data for debugging workflows.

Can I use this analytics tracking approach for product apps and onboarding funnels?

Yes, this analytics tracking approach applies to product apps and onboarding funnels. It covers GA4 and GTM configuration, standard event properties, and privacy compliance to capture reliable data across web and app environments.

How do I ensure data quality and privacy compliance in Google Analytics 4?

Ensuring data quality and privacy compliance in Google Analytics 4 requires robust debugging workflows, standard event properties, and clear conversion mappings. This structured approach validates analytics data from planning to deployment.

What's the best way to map conversions in GTM?

The best way to map conversions in GTM is through a structured tracking plan with consistent event naming and standard properties. This ensures clear conversion mappings and decision-ready data for your analytics setup.

Why are my GA4 events not showing up in Google Analytics?

Missing GA4 events often result from inconsistent event naming or lacking debugging workflows in your tracking plan. Implementing data quality checks and standard properties ensures reliable event tracking and accurate conversion mappings.