How does the skill handle event naming?

It enforces a strict 'object_action' snake_case convention (e.g., 'form_submit' instead of 'submitForm') to prevent data fragmentation and ensure long-term reporting consistency.

Can this skill help with GDPR compliance?

Yes, it includes guidance on implementing Advanced Consent Mode via GTM and integrating with various Consent Management Platforms (CMPs) to ensure privacy compliance.

What analytics platforms does this skill support?

The skill focuses primarily on Google Analytics 4 (GA4) and Google Tag Manager (GTM), but also includes specific implementation patterns for Google Ads and Meta Pixel/CAPI.

Is this skill used for analyzing marketing data?

No, this skill is specifically for implementation and data collection. For analyzing campaign performance or BI dashboards, use 'campaign-analytics' or 'product-analytics' skills respectively.

Analytics Tracking

Name: Analytics Tracking
Author: alirezarezvani

byalirezarezvani

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9,958

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Analytics & Monitoring

Implements, audits, and debugs analytics tracking across GA4, Google Tag Manager, and marketing platforms to ensure high-integrity data collection.

The Analytics Tracking skill is a specialized tool for developers and growth engineers tasked with building or fixing data collection infrastructures. It provides expert-level guidance on creating standardized event taxonomies, configuring Google Analytics 4 (GA4) properties, and orchestrating complex Google Tag Manager (GTM) containers. Whether you are implementing tracking for a new SaaS product, auditing existing setups for data discrepancies, or debugging broken conversion triggers, this skill ensures every customer touchpoint is captured accurately, consistently, and in compliance with modern privacy standards like GDPR and Advanced Consent Mode.

Key Features

01Platform-specific conversion tracking setup for Google Ads and Meta Pixel/CAPI.

02Automated debugging workflows for identifying duplicate events, bot traffic, and attribution gaps.

03Advanced GTM implementation patterns for Data Layer pushes and CSS selector triggers.

049,958 GitHub stars

05Standardized snake_case event taxonomy design for consistent cross-platform reporting.

06Comprehensive GA4 configuration including data streams, enhanced measurement, and custom dimensions.

Use Cases

01Auditing existing GA4 implementations to identify missing events or untrusted data sources.

02Implementing cross-domain tracking for complex funnels spanning multiple subdomains or properties.

03Building a comprehensive tracking plan and GTM container from scratch for a new web application.

Key Features

01Platform-specific conversion tracking setup for Google Ads and Meta Pixel/CAPI.

02Automated debugging workflows for identifying duplicate events, bot traffic, and attribution gaps.

03Advanced GTM implementation patterns for Data Layer pushes and CSS selector triggers.

049,958 GitHub stars

05Standardized snake_case event taxonomy design for consistent cross-platform reporting.

06Comprehensive GA4 configuration including data streams, enhanced measurement, and custom dimensions.

Use Cases

01Auditing existing GA4 implementations to identify missing events or untrusted data sources.

02Implementing cross-domain tracking for complex funnels spanning multiple subdomains or properties.

03Building a comprehensive tracking plan and GTM container from scratch for a new web application.