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analytics-tracking

Define GA4 and GTM analytics tracking strategies with naming and data layer standards.

Updated Jan 24, 2026
Search Tags:#analytics#privacy#gtm#data-quality#event-tracking#ga4
One-click install
npx skills add https://github.com/seflless/dot-agents --skill analytics-tracking-seflless
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: analytics-tracking
Source: https://github.com/seflless/dot-agents/tree/main/skills/analytics-tracking
Command: npx skills add https://github.com/seflless/dot-agents --skill analytics-tracking-seflless

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Analytics teams often struggle to design, implement, and govern reliable tracking that translates into actionable business decisions.

Core Features & Use Cases

  • Governance and standards for naming, data layers, and validation to ensure data quality
  • GA4 and GTM setup guidance, including data streams, enhanced measurement, and custom events
  • Privacy, consent management, and compliance considerations across marketing sites and product apps
  • Use Case: Aligns analytics to measure signups, demos, conversions, and user engagement with consistent events and properties

Quick Start

Create a GA4 + GTM tracking plan for your site and validate events in DebugView.

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 marketing sites and apps?▼

To set up GA4 and GTM tracking, configure data streams, enable enhanced measurement, and deploy custom events using structured data layer patterns. This ensures consistent measurement for onboarding, product usage, and conversions across your site and app.

What's the best way to create naming conventions for analytics event tracking?▼

The best way to create naming conventions for event tracking is to establish governance standards for your data layer and validation processes. Consistent naming ensures data quality and translates tracking into actionable business decisions.

How do I validate custom events in GA4 DebugView after implementing a tracking plan?▼

You validate custom events in GA4 DebugView by triggering actions on your site and monitoring the real-time event stream. This confirms your GTM tags fire correctly and match your planned naming conventions and data layer patterns.

Do I need consent management for GA4 tracking to handle user privacy compliance?▼

Yes, you need consent management for GA4 tracking to handle user privacy compliance. Configuring consent mode in GTM ensures data collection respects user choices and maintains data quality for marketing sites and product apps.

Why does my data layer pattern fail to capture product usage events consistently?▼

Your data layer pattern fails to capture product usage events consistently due to missing governance standards or incorrect naming conventions. Debugging via GTM and validating in GA4 DebugView identifies data quality gaps in your tracking implementation.

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