Quem trouxe a venda

O que ela faz

Duzentas e vinte e cinco linhas para o problema mais frustrante de marketing: Google diz X, Meta diz Y, o GA diz Z. Cobre MMM, incrementalidade, teste geográfico e atribuição autodeclarada.

Ficha técnica

Descrição original

When the user wants to figure out which marketing actually drives conversions and revenue, choose or interpret an attribution model, or reconcile conflicting numbers across tools. Also use when the user mentions "attribution," "attribution model," "first-touch vs last-touch," "multi-touch," "which channel drives revenue," "what's my real CAC," "my dashboards disagree," "Google/Meta says X but GA says Y," "media mix model," "MMM," "incrementality," "geo lift," "holdout test," "how did you hear about us," "self-reported attribution," "dark social," or wants to instrument attribution themselves — "stitch my bookings to their source," "SavvyCal/Calendly attribution," "close the identify gap," "track conversions on a third-party domain," "first-party / self-hosted attribution." For event tracking setup and UTMs, see analytics. For ad-platform pixels/CAPI, see ads. For pipeline and CRM revenue reporting, see revops. For the AI-search attribution blind spot, see ai-seo.

Caminho no repo

skills/attribution/SKILL.md

SKILL.md

225 linhas

Seções

Boundaries — what this skill does NOT own · Pillar A — Interpretation · Pillar B — Own your attribution (first-party) · Output format · The question · Source of truth · What each source says · Model comparison (for long cycles) · Confidence & gaps · Recommendation · Tool Integrations · Related Skills

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