analytics-tracking

Plan and implement GA4 and GTM analytics tracking for websites and apps.

Updated Mar 12, 2026
One-click install
npx skills add https://github.com/fluid-commerce/DesignOS --skill analytics-tracking-fluid-commerce
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analytics-tracking
Source: https://github.com/fluid-commerce/DesignOS/tree/main/skills/marketing/analytics-tracking
Command: npx skills add https://github.com/fluid-commerce/DesignOS --skill analytics-tracking-fluid-commerce

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Analytics tracking often fails to inform decisions due to poorly planned events and naming conventions, leading to data confusion and suboptimal marketing/product actions.

Core Features & Use Cases

  • Track marketing and product decisions with consistent event naming and data models.
  • Define essential events for SaaS/Marketing, GA4/GTM integration, privacy compliance, and debugging/validation.
  • Provide a ready-to-adapt tracking plan and implementation examples for GA4 and GTM across web and apps.

Quick Start

Install and configure GA4 + GTM, define your initial events, and implement a dataLayer-ready structure to start capturing conversions and engagement 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 SaaS signups and feature usage?

UTM campaign tracking in GA4 requires defining campaign parameters, structuring your dataLayer to capture them, and configuring GTM tags to pass UTM data as event dimensions. This validates data quality and ensures marketing attribution accurately informs advertising decisions.

What is a structured tracking plan and why do I need one for analytics?

Yes, you can use GA4 and GTM to track mobile app events, feature usage, and purchases. The implementation involves adapting your tracking plan and dataLayer structure for app environments, ensuring consistent event naming and data collection across both web and app platforms.

How do I debug analytics data quality issues in GA4 and GTM?

Debugging analytics data quality involves validating your dataLayer structures and event naming conventions against your tracking plan. By checking GA4 and GTM integration steps, you can identify and resolve tracking errors, ensuring reliable data for product and marketing decisions.

What privacy considerations do I need to address when implementing analytics tracking?

Implementing analytics tracking requires addressing privacy considerations by configuring GA4 and GTM to handle user consent and data collection compliantly. This ensures your tracking plan respects privacy regulations while still capturing essential engagement and conversion data.