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giosuetedeschi-spec
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analytics-tracking

Standardize analytics tracking events and validation workflows for GA4.

Updated Jan 12, 2026
Search Tags:#analytics#conversion#tracking#gtm#data-quality#ga4
One-click install
npx skills add https://github.com/giosuetedeschi-spec/bobu-website --skill analytics-tracking-giosuetedeschi-spec
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: analytics-tracking
Source: https://github.com/giosuetedeschi-spec/bobu-website/tree/main/.claude/skills/analytics-tracking
Command: npx skills add https://github.com/giosuetedeschi-spec/bobu-website --skill analytics-tracking-giosuetedeschi-spec

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the challenge of fragmented or unreliable data collection by providing a structured framework for implementing, auditing, and maintaining analytics tracking across marketing and product surfaces.

Core Features & Use Cases

  • Tracking Plan Framework: Standardizes event naming, properties, and triggers to ensure data consistency across teams.
  • Implementation Guidance: Provides actionable patterns for GA4, Google Tag Manager, and UTM parameter management.
  • Use Case: Use this skill when launching a new feature to define exactly which user actions need to be tracked to measure success, or when auditing an existing GA4 setup to fix missing conversion data.

Quick Start

Use the analytics-tracking skill to generate a comprehensive tracking plan for my new e-commerce checkout flow.

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 tracking plan for GA4 and Google Tag Manager?▼

A GA4 tracking plan standardizes event naming, properties, and triggers within Google Tag Manager. It defines naming conventions and validation workflows to ensure data consistency across marketing and product teams for reliable conversion tracking.

Why does my GA4 conversion tracking show missing or inconsistent data?▼

GA4 conversion tracking shows missing data when event naming conventions and triggers lack standardization. Auditing your tracking plan identifies undefined event properties and missing validation workflows to restore data quality and consistency.

What is the best way to standardize UTM parameters across marketing campaigns?▼

Standardizing UTM parameters requires a structured framework that governs link tagging across marketing surfaces. Defining a UTM strategy ensures consistent data collection and reliable attribution within your analytics tracking implementation.

Can I use a tracking plan to audit an existing analytics setup?▼

A tracking plan framework audits existing analytics setups by validating configured event properties and triggers against defined naming conventions. This process identifies fragmented data collection points and restores tracking consistency across web platforms.

Do I need Google Tag Manager to implement a structured analytics tracking plan?▼

Google Tag Manager is not strictly required but provides actionable implementation patterns for deploying tracking plans. It facilitates container configurations that manage event triggers and properties for GA4 and other analytics tools.

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