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analytics-tracking

Define analytics tracking plans and standard event properties for GA4 and GTM.

1.1k|396|Updated Mar 17, 2026
Search Tags:#analytics#events#attribution#tracking#gtm#data-quality#ga4
One-click install
npx skills add https://github.com/LeoYeAI/openclaw-marketing-skills --skill analytics-tracking-leoyeai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: analytics-tracking
Source: https://github.com/LeoYeAI/openclaw-marketing-skills/tree/main/skills/analytics-tracking
Command: npx skills add https://github.com/LeoYeAI/openclaw-marketing-skills --skill analytics-tracking-leoyeai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analytics tracking and measurement setup is often error-prone, leading to data gaps, misattribution, and slow decision-making. This Skill provides a structured approach to design, implement, and audit analytics across GA4, GTM, and related tools, focusing on reliability and privacy.

Core Features & Use Cases

  • Tracking plan design and naming conventions to ensure consistent data collection.
  • GA4 and GTM implementation guidance, with debugging and data quality checks.
  • Use cases covering marketing site events, product usage, and attribution scenarios.

Quick Start

Define core events, data layer schema, and a minimal GA4/GTM setup to start collecting reliable data.

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?▼

Design a tracking plan with standard event naming, a defined data layer schema, and a minimal GA4 and GTM setup to start collecting reliable marketing site data.

Why does my analytics tracking have data gaps and misattribution?▼

Analytics tracking data gaps and misattribution occur without a structured tracking plan, standard event properties, and debugging workflows to validate data quality and ensure reliable measurement.

What is a tracking plan and how does it improve data quality?▼

A tracking plan defines event naming conventions and standard properties to ensure consistent GA4 and GTM data collection, reducing misattribution and improving data quality for decision-making.

Can I use this approach for product app usage tracking and attribution?▼

Yes, this approach applies to product apps needing usage tracking and attribution, providing standard event properties and integration guidance for measuring product events alongside marketing scenarios.

Does this analytics tracking framework support privacy-compliant measurement?▼

Yes, the analytics tracking framework supports privacy-compliant measurement by defining debugging workflows and data quality checks that maintain reliability while adhering to privacy requirements during GA4 and GTM implementation.

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