analytics-tracking

Set up, improve, or audit analytics tracking with GA4 and GTM.

Updated Jan 24, 2026
One-click install
npx skills add https://github.com/matheus3301/skills --skill analytics-tracking-matheus3301
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analytics-tracking
Source: https://github.com/matheus3301/skills/tree/main/analytics-tracking
Command: npx skills add https://github.com/matheus3301/skills --skill analytics-tracking-matheus3301

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you set up, improve, or audit analytics tracking and measurement to gain actionable insights for marketing and product decisions.

Core Features & Use Cases

  • Comprehensive Tracking Strategy: Guides you through defining business context, current state, and technical requirements for effective analytics.
  • Event Naming & Properties: Provides best practices and frameworks for consistent and meaningful event tracking.
  • Implementation Guidance: Offers detailed advice for GA4 and Google Tag Manager, including custom dimensions, conversions, and data layer patterns.
  • Use Case: A startup needs to understand user engagement on their new feature. This Skill helps them define key events like 'feature_used' with relevant properties such as 'feature_name' and 'user_tier', and guides them on implementing this in GA4.

Quick Start

Use the analytics-tracking skill to create a tracking plan for a new e-commerce website, focusing on user acquisition and purchase events.

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 event tracking for a new website feature?

GA4 event tracking setup involves defining business context, establishing naming conventions, and configuring custom dimensions. This process guides creating a tracking plan with relevant event properties like feature names and user tiers for meaningful product analytics.

What's the best way to structure a data tracking plan for e-commerce conversions?

A structured tracking plan defines user acquisition and purchase events systematically. It establishes technical requirements, event properties, and consistent naming frameworks to ensure accurate measurement and actionable marketing insights across the e-commerce user journey.

How does Google Tag Manager data layer implementation work for conversion tracking?

Google Tag Manager implementation uses data layer patterns to capture conversion events. It requires defining specific event triggers and passing custom dimensions through the data layer to accurately route marketing and product decision data into GA4.

Can I use this approach to audit existing analytics measurement strategies?

Auditing analytics measurement evaluates your current tracking state against technical requirements. This approach identifies gaps in event tracking, refines UTM strategies, and improves existing GA4 configurations to ensure data aligns with business context.

Why are consistent event naming conventions important for analytics tracking?

Consistent event naming conventions ensure reliable data aggregation and meaningful analysis. Standardizing how events and properties are labeled prevents fragmented data, enabling accurate debugging and clearer insights for marketing and product decisions.

How do I create a UTM strategy that aligns with my GA4 measurement plan?

Creating a UTM strategy requires defining campaign parameters that map directly to your GA4 tracking plan. It establishes consistent URL tagging to accurately attribute user acquisition and traffic sources to specific marketing events.