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analytics-tracking

Configure GA4 and Google Tag Manager for compliant analytics tracking.

Updated Jun 27, 2026
Search Tags:#event-tracking#ga4#google-tag-manager#consent-management#conversion-tracking#utm-strategy#analytics-audit
One-click install
npx skills add https://github.com/JDMAXilius/Brand-building --skill analytics-tracking-jdmaxilius
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: analytics-tracking
Source: https://github.com/JDMAXilius/Brand-building/tree/main/skills/analytics-tracking
Command: npx skills add https://github.com/JDMAXilius/Brand-building --skill analytics-tracking-jdmaxilius

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Poorly implemented analytics tracking produces unreliable data, leading to wasted marketing spend, missed conversion insights, and compliance risks from unconsented data collection. This Skill eliminates broken tracking, duplicate events, and inconsistent UTM parameters that plague marketing and product teams.

Core Features & Use Cases

  • End-to-end GA4 & GTM Setup: Configure Google Analytics 4 properties, Google Tag Manager containers, and data layer implementations for web and SaaS products, including SPA routing handling.
  • Event Taxonomy & Conversion Tracking: Design consistent event naming conventions, set up conversion tracking for Google Ads, Meta, and LinkedIn, and align attribution windows across platforms.
  • Data Quality & Compliance: Audit existing tracking for gaps and PII leaks, implement Consent Mode v2 for EU compliance, and validate UTM parameters and event schemas to ensure data accuracy.
  • Use Case: A SaaS marketing team launching a new product can use this Skill to build a complete tracking plan, debug why GA4 conversion counts don't match Google Ads, and audit their analytics setup for compliance before a product launch.

Quick Start

Use the analytics-tracking skill to build a complete, compliant tracking plan for your new SaaS product, including GA4 configuration, event taxonomy design, and Google Ads conversion import.

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 conversion tracking to match Google Ads counts?▼

GA4 conversion tracking matching Google Ads counts requires configuring Google Tag Manager, aligning attribution windows, and validating event schemas to eliminate duplicate events or missing data. This process includes designing consistent event taxonomy and debugging mismatched conversion events across marketing platforms.

Why does my web analytics tracking show duplicate events and inconsistent data?▼

Duplicate events and inconsistent web analytics data occur due to broken tracking implementations and mismatched event taxonomy. Auditing your analytics setup validates UTM parameters, checks for PII leaks, and repairs data layer implementations to ensure data accuracy for marketing and product teams.

How do I implement Google Consent Mode v2 for EU compliance?▼

Google Consent Mode v2 for EU compliance requires deploying a consent management framework within Google Tag Manager to regulate unconsented data collection. This ensures your web and SaaS products satisfy functional compliance requirements while maintaining reliable marketing analytics measurement.

Can I use Google Tag Manager for cross-domain tracking in a SaaS application?▼

Google Tag Manager supports cross-domain tracking in SaaS applications by configuring GA4 properties and data layer implementations. This setup handles SPA routing correctly, ensuring reliable web analytics tracking across multiple domains without losing user session data.

What is the best way to build a UTM strategy and event taxonomy for a new product launch?▼

Building a UTM strategy and event taxonomy for a product launch requires designing consistent event naming conventions and enforcing UTM parameter validation. This end-to-end analytics setup aligns conversion tracking across Google Ads, Meta, and LinkedIn while preventing wasted marketing spend from unreliable data.

How do I audit existing analytics tracking for PII leaks and data gaps?▼

Auditing existing analytics tracking for PII leaks and data gaps involves inspecting GA4 configurations and data layer implementations for unconsented personal data collection. This data quality audit validates event schemas and identifies broken tracking implementations causing unreliable product analytics.

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