What problem does it solve? Marketing platforms each claim credit for the same conversions, so Google, Meta, GA4, and your CRM never agree on which channels actually drive revenue. This Skill helps you choose and interpret attribution models, reconcile conflicting numbers into a defensible read, and instrument first-party attribution when you control the site or app. ## Core Features & Use Cases - Model interpretation: Compare first-touch, last-touch, linear, time-decay, position-based, and data-driven attribution, and understand how each model distorts credit for long or short sales cycles. - Source reconciliation: De-duplicate platform-reported conversions against a single source of truth (CRM or backend), explain the attribution gap, and use self-reported surveys and incrementality tests as tiebreakers. - First-party instrumentation: Close the identify() gap, stitch conversions on third-party domains (SavvyCal, Calendly, Stripe Checkout) via metadata passthrough and webhook identity merges, with fail-closed anonymity guards. - Use Case: Your Meta dashboard claims 40 conversions, Google claims 50, and your CRM shows 35 deals. The Skill establishes the CRM as the conversion source of truth, explains each platform's bias, and delivers an allocation with confidence levels instead of a false reconciled number. ## Quick Start Ask the agent to reconcile your Google Ads, Meta, GA4, and CRM conversion numbers and recommend which attribution model fits your sales cycle.
