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analytics-tracking

Plan GA4/GTM analytics tracking with event naming, taxonomy, and privacy compliance.

Updated Sep 5, 2020
Search Tags:#analytics#privacy#tracking#gtm#ga4#event_naming#data_quality
One-click install
npx skills add https://github.com/dtorras/dotfiles --skill analytics-tracking-dtorras
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: analytics-tracking
Source: https://github.com/dtorras/dotfiles/tree/main/config/claude/skills/analytics-tracking
Command: npx skills add https://github.com/dtorras/dotfiles --skill analytics-tracking-dtorras

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Analytics tracking is frequently inconsistent across teams, leading to unclear data and missed decisions. This Skill helps you define a consistent tracking strategy and implement it in GA4 and GTM.

Core Features & Use Cases

  • Establish a clear event taxonomy, naming conventions, and data layer schemas to standardize data collection.
  • Provide a reusable Tracking Plan Framework and auditing guidance to maintain data quality and privacy compliance.
  • Use cases include marketing site engagement, product usage analytics, onboarding funnels, and conversion optimization.

Quick Start

Define your business questions, map events to decisions, and implement a GA4/GTM plan using this framework.

Frequently Asked Questions about analytics-tracking

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

FAQPage Schema
How do I create a GA4 and GTM tracking plan for a marketing site?▼

To create a GA4 and GTM tracking plan, define your business questions, map events to decisions, establish a clear event taxonomy, and design data layer schemas for pageviews and conversions.

What is event naming taxonomy in analytics tracking?▼

Event naming taxonomy in analytics tracking is a standardized convention for naming user actions and data layer variables to ensure consistent data collection and yield actionable insights across teams.

How do I validate data quality and privacy compliance in GA4?▼

Validate data quality and privacy compliance in GA4 by applying a governance framework and auditing guidance to review your data layer implementation, ensuring tracking meets privacy standards.

Does this analytics tracking framework work for product app usage and onboarding funnels?▼

Yes, this analytics tracking framework works for product app usage and onboarding funnels by mapping user actions to a structured data layer schema for comprehensive conversion optimization.

Why does my analytics tracking yield inconsistent data across teams?▼

Analytics tracking yields inconsistent data across teams when there is no unified event taxonomy or data layer design, making it necessary to implement a reusable tracking plan framework.

What's the best way to structure a data layer for conversion tracking?▼

The best way to structure a data layer for conversion tracking is to design clear schemas mapped to your event taxonomy, enabling accurate GTM configuration and actionable GA4 insights.

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