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RebelHawk-TK
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analytics-tracking

Define analytics events, properties, and governance rules for web and mobile apps.

Updated Mar 16, 2026
Search Tags:#analytics#tracking#gtm#data-quality#event-tracking#ga4
One-click install
npx skills add https://github.com/RebelHawk-TK/DeepThinkTrader --skill analytics-tracking-rebelhawk-tk
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: analytics-tracking
Source: https://github.com/RebelHawk-TK/DeepThinkTrader/tree/main/.agents/skills/analytics-tracking
Command: npx skills add https://github.com/RebelHawk-TK/DeepThinkTrader --skill analytics-tracking-rebelhawk-tk

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Analytics tracking helps teams measure product and marketing performance, align decisions with data, and reduce guesswork by converting user interactions into actionable insights.

Core Features & Use Cases

  • Establish a consistent event taxonomy (object_action naming, e.g., signup_completed, feature_used)
  • Define standard properties and dimensional data for accurate analysis
  • Provide a ready-to-adopt tracking plan that teams can implement with GA4, GTM, or your preferred tool

Quick Start

Set up a first-pass tracking plan by listing core events, properties, and triggers for your product and marketing sites.

Frequently Asked Questions about analytics-tracking

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

FAQPage Schema
How do I create an analytics tracking plan for GA4 and GTM?▼

To create an analytics tracking plan, you define a consistent event taxonomy using object_action naming conventions, map standard properties, and set up triggers for GA4 and GTM across web and mobile apps.

What is event taxonomy and how does it improve data quality in analytics tracking?▼

Event taxonomy is a structured naming convention for analytics tracking, like signup_completed, that standardizes user interactions to improve data quality and ensure accurate product and marketing analysis.

Can I use this tracking plan setup for both marketing sites and product features?▼

Yes, the tracking plan applies to both marketing sites and product features, defining dimensional data and events needed to measure monetization flows and user interactions across web and mobile apps.

What is the best way to define naming conventions for event tracking?▼

The best way to define naming conventions for event tracking is adopting an object_action format, establishing standard properties, and applying data quality checks to align marketing decisions with reliable data.

Do I need to include privacy considerations in my analytics tracking plan?▼

Yes, a structured analytics tracking plan must include privacy considerations and governance rules alongside event definitions to ensure compliant data collection across marketing and product flows.

Why does my GA4 event tracking show inconsistent data across platforms?▼

Inconsistent GA4 event tracking usually happens when lacking a standardized tracking plan, proper naming conventions, or defined dimensional data properties across your web and mobile app implementations.

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