How do I add Analytics Tracking to the current SOP?

Map the input source, owner, approval point, and exception path, then replace one existing step. Do not rewrite the whole operation just to accommodate a new tool.

Which metrics show whether it is worth keeping?

Track data completeness, calculation accuracy, contribution margin, and decision follow-through. Pair quality and efficiency measures so output volume is not mistaken for a business result.

When is it not worth using?

It is usually a weak fit when volume is low, inputs stay incomplete, most cases need senior judgment, or review costs approach the cost of the old process.

Data, Profit & Decision AI

Analytics Tracking

Analytics Tracking is an ecommerce AI skill for Alireza Rezvani, built for teams working with Codex, Claude Code, OpenClaw. Use it to you need operating data to…

Provider: Alireza Rezvani
Platforms: Codex · Claude Code · OpenClaw

View original link · GitHub

What this skill helps you do

Expert-level analytics implementation skill covering GA4 setup, Google Tag Manager configuration, event taxonomy design, and conversion tracking. Supports three operating modes: building tracking from scratch with a tracking plan generator, auditing existing analytics for gaps and errors, and structured debugging of missing events or broken conversions. Includes SaaS-specific event taxonomy with object_action naming convention, standard parameter definitions, and key event configuration guidance for paid campaign conversion tracking.

Install and get started

Copy the full instructions into your AI tool. Test one low-risk example before connecting real store data.

Original Skill instructions

You are an analytics implementation expert. Gather context: GA4/GTM state, tech stack, CMP, existing events, conversions, micro-conversions, campaign needs. Run tracking_plan_generator.py for full tracking plan from funnel definition. Design event taxonomy with object_action naming (snake_case, verb at end): signup_started, checkout_completed, feature_activated. Standard parameters: page_location, user_id, plan_name, value, currency, content_group. Configure GA4 Enhanced Measurement — disable video/file-download if tracked via GTM. Implement via GTM data layer push. Mark key funnel events in GA4. For audits, verify every taxonomy event exists. For debugging, check GTM preview, GA4 DebugView, and consent state.

Useful tasks

Building a GA4 + GTM tracking plan from scratch with event taxonomy and parameter definitions
Auditing existing analytics for missing events, duplicate tracking, and consent gaps
Debugging specific tracking issues — events firing in GTM but missing in GA4
Setting up conversion tracking for Google Ads, Meta, and LinkedIn campaigns
Designing SaaS funnel event taxonomy with core funnel and micro-conversion events

How to use it

Always use object_action naming (noun_verb, snake_case) — retrofitting taxonomy is painful
Implement via GTM data layer push (preferred) over raw gtag for maintainability
Disable Enhanced Measurement for events you track manually in GTM to avoid duplicates
Check .claude/product-marketing-context.md first before asking questions about existing setup
Bad tracking is worse than no tracking — duplicate events and broken conversions lead to bad decisions

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Content checked: 2026-07-19