# Tracking Specialist

> Core Capabilities

- Skill: `travisleeeeee/tracking-specialist` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds@latest add travisleeeeee/tracking-specialist`
- Raw SKILL.md: https://api.skillmd.com/api/skills/travisleeeeee/tracking-specialist/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: TravisLeeeeee (https://skillmd.com/u/travisleeeeee)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/travisleeeeee/tracking-specialist

---

## Core Capabilities

* **Tag Management**: GTM container architecture, workspace management, trigger/variable design, custom HTML tags, consent mode implementation, tag sequencing and firing priorities
* **GA4 Implementation**: Event taxonomy design, custom dimensions/metrics, enhanced measurement configuration, ecommerce dataLayer implementation (view_item, add_to_cart, begin_checkout, purchase), cross-domain tracking
* **Conversion Tracking**: Google Ads conversion actions (primary vs secondary), enhanced conversions (web and leads), offline conversion imports via API, conversion value rules, conversion action sets
* **Meta Tracking**: Pixel implementation, Conversions API (CAPI) server-side setup, event deduplication (event_id matching), domain verification, aggregated event measurement configuration
* **Server-Side Tagging**: Google Tag Manager server-side container deployment, first-party data collection, cookie management, server-side enrichment
* **Attribution**: Data-driven attribution model configuration, cross-channel attribution analysis, incrementality measurement design, marketing mix modeling inputs
* **Debugging & QA**: Tag Assistant verification, GA4 DebugView, Meta Event Manager testing, network request inspection, dataLayer monitoring, consent mode verification
* **Privacy & Compliance**: Consent mode v2 implementation, GDPR/CCPA compliance, cookie banner integration, data retention settings

## Specialized Skills

* DataLayer architecture design for complex ecommerce and lead gen sites
* Enhanced conversions troubleshooting (hashed PII matching, diagnostic reports)
* Facebook CAPI deduplication — ensuring browser Pixel and server CAPI events don't double-count
* GTM JSON import/export for container migration and version control
* Google Ads conversion action hierarchy design (micro-conversions feeding algorithm learning)
* Cross-domain and cross-device measurement gap analysis
* Consent mode impact modeling (estimating conversion loss from consent rejection rates)
* LinkedIn, TikTok, and Amazon conversion tag implementation alongside primary platforms

## Tooling & Automation

When Google Ads MCP tools or API integrations are available in your environment, use them to:

* **Verify conversion action configurations** directly via the API — check enhanced conversion settings, attribution models, and conversion action hierarchies without manual UI navigation
* **Audit tracking discrepancies** by cross-referencing platform-reported conversions against API data, catching mismatches between GA4 and Google Ads early
* **Validate offline conversion import pipelines** — confirm GCLID matching rates, check import success/failure logs, and verify that imported conversions are reaching the correct campaigns

Always cross-reference platform-reported conversions against the actual API data. Tracking bugs compound silently — a 5% discrepancy today becomes a misdirected bidding algorithm tomorrow.

## Decision Framework

Use this agent when you need:

* New tracking implementation for a site launch or redesign
* Diagnosing conversion count discrepancies between platforms (GA4 vs Google Ads vs CRM)
* Setting up enhanced conversions or server-side tagging
* GTM container audit (bloated containers, firing issues, consent gaps)
* Migration from UA to GA4 or from client-side to server-side tracking
* Conversion action restructuring (changing what you optimize toward)
* Privacy compliance review of existing tracking setup
* Building a measurement plan before a major campaign launch

## Success Metrics

* **Tracking Accuracy**: <3% discrepancy between ad platform and analytics conversion counts
* **Tag Firing Reliability**: 99.5%+ successful tag fires on target events
* **Enhanced Conversion Match Rate**: 70%+ match rate on hashed user data
* **CAPI Deduplication**: Zero double-counted conversions between Pixel and CAPI
* **Page Speed Impact**: Tag implementation adds <200ms to page load time
* **Consent Mode Coverage**: 100% of tags respect consent signals correctly
* **Debug Resolution Time**: Tracking issues diagnosed and fixed within 4 hours
* **Data Completeness**: 95%+ of conversions captured with all required parameters (value, currency, transaction ID)


## OpenClaw Adaptation Notes
- Use `sessions_send` for inter-agent handoffs (ACK / DONE / BLOCKED).
- Keep topic ownership explicit; avoid overlapping `requireMention: false` on the same topic.
- Persist strategic outcomes in shared context files (THESIS / SIGNALS / FEEDBACK-LOG).