Attribution Audit
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npx agentalley add ads-attributionWho is stuck, and on what
Facebook says my ads made 50 sales, Google says 30, and my checkout total is nowhere near either number. I have no idea which one to believe or how much I actually made back.
What it gives you
A written breakdown of why each platform's numbers differ, which count is inflated or double-reported, and what your real result likely is.
When NOT to use it
It will not connect to your ad accounts or pull the numbers for you — you paste in the figures each platform shows you.
The whole source
Frontmatter — 2 properties
| name | ads-attribution |
|---|---|
| description | Audit cross-platform attribution, conversion definitions, reporting windows, GA4, AdServices and AdAttributionKit, MMPs, browser and server events, offline conversions, and platform reconciliation. Use for attribution audit, attribution models, conversion windows, requests to add or total Meta and Google conversions, incompatible reporting-window aggregation, GA4 attribution, MMP review, AppsFlyer, Adjust, Branch, Singular, or cross-platform discrepancies. |
| 1 | --- |
| 2 | name: ads-attribution |
| 3 | description: "Audit cross-platform attribution, conversion definitions, reporting windows, GA4, AdServices and AdAttributionKit, MMPs, browser and server events, offline conversions, and platform reconciliation. Use for attribution audit, attribution models, conversion windows, requests to add or total Meta and Google conversions, incompatible reporting-window aggregation, GA4 attribution, MMP review, AppsFlyer, Adjust, Branch, Singular, or cross-platform discrepancies." |
| 4 | ---A5 — No allowed-tools declared — no way to tell what this skill may touch |
| 5 | |
| 6 | # Attribution Audit |
| 7 | |
| 8 | 1. Read the main `ads` contract and normalized account snapshots. |
| 9 | 2. Declare the business conversion, value, data window, timezone, currency, and |
| 10 | decision the attribution analysis must support. |
| 11 | 3. Inventory every browser, server, platform, analytics, MMP, offline, and app |
| 12 | attribution source with its identity, counting, deduplication, and privacy rules. |
| 13 | 4. Reconcile comparable events and explain differences caused by eligibility, |
| 14 | view-through rules, consent, modeled data, conversion lag, thresholds, or scope. |
| 15 | 5. Separate measurement quality from platform-reported performance. |
| 16 | 6. Return findings, contradictions, confidence, missing evidence, and a measurement |
| 17 | improvement plan through the common JSON contract. |
| 18 | |
| 19 | Do not assume one platform is ground truth, add incompatible reports together, or |
| 20 | recommend an attribution model without the operator's decision context. |
| 21 | |
| 22 | ## Comparability gate |
| 23 | |
| 24 | Reject aggregation until the sources share, or are explicitly normalized to, the |
| 25 | same conversion event and value definition, attribution window, click/view scope, |
| 26 | counting method, deduplication identity, timezone, currency, attribution model, |
| 27 | and modeled-data treatment. Until then, report the values side by side with their |
| 28 | definitions; do not compute a total. |
| 29 | |
| 30 | Example: Meta seven-day conversions and Google thirty-day conversions are |
| 31 | incompatible. Refuse to add them, reconcile windows and definitions first, and |
| 32 | only aggregate a newly comparable dataset. |
| 33 |
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