Attribution
by coreyhaines31b9ba399dd88bNo license53K starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated today
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.
Only the file list is public. File contents are available once the skill is installed in a workspace.
| Path | Size | Type |
|---|---|---|
| evals/evals.json | 10.3 KB | application/json |
| references/attribution-models.md | 6.6 KB | text/markdown |
| references/by-business-type.md | 7.7 KB | text/markdown |
| references/first-party-tracking.md | 18.4 KB | text/markdown |
| references/measurement-paradigms.md | 9.6 KB | text/markdown |
| SKILL.md | 22.4 KB | text/markdown |
Source and attribution
Source:coreyhaines31/marketingskillsinskills/attributionat commitb9ba399
License: No license
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