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Description
Record, inspect, map, build, and validate tracking implementations without publishing production changes. AI Tracking Engineer records real user actions on any website — product views, add to cart, checkout, purchases, lead form submissions — and automatically builds a matching Google Tag Manager configuration: variables, triggers, and tags for GA4, Google Ads, and Meta (Facebook) Pixel. Every detected event is scored for confidence and shown for review before anything is created, so you can verify data quality on a site you don't fully know yet. When you're ready, connect your own Google account and apply the reviewed build directly to a GTM workspace via Google's official API. Nothing is ever published to production automatically — publishing a GTM version always remains a separate, manual step you perform yourself in Google Tag Manager. Key features: • Records real dataLayer pushes, network requests, and DOM interactions • Builds tags for GA4, Google Ads conversions, and Meta Pixel (Stape or official Facebook template) • Confidence scoring shows exactly which data came from a verified path vs. a fallback guess • Optional hashed capture of checkout/contact form data for Meta Advanced Matching • Applies directly to your own GTM workspace — no third-party server involved • Reuses existing matching entities on repeat runs instead of duplicating them
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