What problem does it solve? Marketing teams cannot tell which channels actually drive conversions because ad platforms, GA4, and CRMs each report conflicting numbers, and conversions on third-party domains (booking tools, hosted checkouts) lose the entire customer journey. This Skill helps you choose and interpret attribution models, reconcile conflicting sources, and instrument first-party attribution yourself. ## Core Features & Use Cases - Model interpretation and reconciliation: Compare first-touch, last-touch, linear, time-decay, position-based, and data-driven models, then triangulate platform, analytics, CRM, and self-reported data against a single source of truth. - Measurement paradigm selection: Decide between multi-touch attribution, media mix modeling, and incrementality testing (geo holdouts, PSA, ghost ads) based on budget, sales cycle, and channel mix. - First-party attribution builds: Stitch anonymous browsing to conversions using identify/merge calls, metadata passthroughs, and webhooks for third-party domains like SavvyCal, Calendly, or Stripe Checkout, with fail-closed anonymity guards. - Use Case: A B2B SaaS team sees Google claim 50 conversions, Meta claim 40, and their CRM show 35. The Skill walks them through de-duping against the CRM as source of truth, explaining each platform's bias, and delivering an allocation with confidence levels instead of a false reconciled number. ## Quick Start Ask the assistant to reconcile your conflicting conversion numbers across Google Ads, Meta, GA4, and your CRM and recommend which attribution model fits your sales cycle.
