attribution
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…
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A marketing skill that helps you reason about which marketing efforts drive conversions and revenue: choosing and interpreting attribution models, reconciling conflicting numbers across ad platforms, GA, and CRM, and understanding measurement paradigms like MMM, incrementality, and holdout tests. It also covers instrumenting first-party attribution yourself, including stitching conversions on third-party domains and closing the identify() gap.
When attribution numbers disagree or you need to know which channel actually caused revenue, it gives structured interpretation plus first-party instrumentation guidance instead of a single platform's self-serving count.
Use it to
- Compare first-touch vs last-touch vs multi-touch attribution models
- Reconcile conflicting conversion numbers across Google, Meta, GA, and CRM
- Run self-reported attribution surveys for dark social
- Stitch bookings on a third-party domain to their traffic source
- Set up first-party conversion tracking with guardrails
For Marketers and operators measuring channel performance and revenue attribution
- Host repository
- coreyhaines31/marketingskills
- Version
- 1.1.0
- Installs, lifetime
- 20k
- Installs, 8 weeks
- 20k
- Host stars
- 51k
- Host language
- JavaScript