attribution-reconciler
FeaturedUse when platform-reported conversions disagree with GA4/ecommerce, when you suspect Meta and Google are double-counting the same sales, or for a standing (monthly) reconciliation workbook that de-dups stacked credit against an order-ID truth set, normalizes attribution windows and currency, compares attribution models, and reads incrementality from a geo/holdout test. Not for the point-in-time R2 veto or RQS gate — use ad-account-auditor; not for the ROI/ROAS ratio math itself — use roi-calculator; not for organic dark-social share attribution or GA4 direct-traffic decomposition — use dark-social-attributor. 付费广告归因对账/去重/增量
Install
Quality Score: 98/100
Skill Content
Details
- Author
- aaron-he-zhu
- Repository
- aaron-he-zhu/aaron-marketing-skills
- Created
- 8 months ago
- Last Updated
- today
- Language
- Python
- License
- Apache-2.0
Bundled in these plugins
Similar Skills
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attribution-reconciler
Use when platform-reported conversions disagree with GA4/ecommerce, when you suspect Meta and Google are double-counting the same sales, or for a standing (monthly) reconciliation workbook that de-dups stacked credit against an order-ID truth set, normalizes attribution windows and currency, compares attribution models, and reads...
conversion-reconcile
Reconcile a platform's conversion export against the CRM and name the likely cause of the gap. Use when GA4, Google Ads, Meta or a tag manager reports a different number of conversions from the CRM or the finance system, when a dashboard is not trusted, or when a team is arguing about attribution windows. Joins the two exports, measures the shape of the disagreement, and returns ranked causes with the evidence that fired each one. Needs no API access.
conversion-verifier
Verify whether the purchases your ad platform reports actually exist in your store, and produce a client-ready reconciliation report. Use this whenever someone questions their ad numbers, wonders if their ROAS is real, says their Meta/Google/TikTok conversions do not match Shopify or Stripe, sees a ROAS that feels too good, suspects over-attribution or double counting, is about to scale or kill a campaign based on platform-reported results, or asks how to audit, validate, sanity-check or reconcile ad conversion data against actual orders or revenue. Also use it when someone mentions attribution discrepancies, inflated conversions, phantom sales, view-through conversions, or asks "are these numbers real". Produces a professional report that separates the legitimate part of the gap from the part that has no explanation.