ads-attribution
稽核跨平台歸因和轉換定義，拒絕把不同窗口的數字硬加總
中文翻譯
--- name: ads-attribution description: "稽核跨平台歸因、轉換定義、報告窗口、GA4、AdServices 與 AdAttributionKit、MMP、瀏覽器與 server 事件、離線轉換，以及平台對帳。適用於歸因稽核、歸因模型、轉換窗口、要求把 Meta 和 Google 轉換相加或加總、不相容的報告窗口加總、GA4 歸因、MMP 檢視、AppsFlyer、Adjust、Branch、Singular，或跨平台數字落差。" --- # 歸因稽核 1. 讀主要的 `ads` 契約和正規化後的帳號 snapshot。 2. 先講清楚商業轉換、價值、資料區間、時區、幣別，以及這次歸因分析要支撐的決策。 3. 盤點每一個瀏覽器、server、平台、分析工具、MMP、離線和 app 的歸因來源，以及它的身分識別、計數方式、去重和隱私規則。 4. 對帳可比較的事件，並解釋由資格、view-through 規則、同意、模型推估資料、轉換延遲、門檻或範圍造成的差異。 5. 把衡量品質和平台自己回報的成效分開。 6. 透過共通的 JSON 契約，回傳 findings、矛盾、信心、缺少的證據和衡量改善計畫。 不要假設某一個平台就是真相，不要把不相容的報告加在一起，沒有操作者的決策 context，也不要推薦歸因模型。 ## 可比較性關卡 在各來源共用（或明確正規化成）同樣的轉換事件與價值定義、歸因窗口、click/view 範圍、計數方式、去重識別、時區、幣別、歸因模型和模型推估資料的處理方式之前，拒絕加總。在那之前，把各個數值連同定義並列呈現，不要算總數。 範例：Meta 的七天轉換和 Google 的三十天轉換不相容。拒絕把它們加起來，先對齊窗口和定義，之後才能對新的、可比較的資料集做加總。
英文原文
--- 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." --- # Attribution Audit 1. Read the main `ads` contract and normalized account snapshots. 2. Declare the business conversion, value, data window, timezone, currency, and decision the attribution analysis must support. 3. Inventory every browser, server, platform, analytics, MMP, offline, and app attribution source with its identity, counting, deduplication, and privacy rules. 4. Reconcile comparable events and explain differences caused by eligibility, view-through rules, consent, modeled data, conversion lag, thresholds, or scope. 5. Separate measurement quality from platform-reported performance. 6. Return findings, contradictions, confidence, missing evidence, and a measurement improvement plan through the common JSON contract. Do not assume one platform is ground truth, add incompatible reports together, or recommend an attribution model without the operator's decision context. ## Comparability gate Reject aggregation until the sources share, or are explicitly normalized to, the same conversion event and value definition, attribution window, click/view scope, counting method, deduplication identity, timezone, currency, attribution model, and modeled-data treatment. Until then, report the values side by side with their definitions; do not compute a total. Example: Meta seven-day conversions and Google thirty-day conversions are incompatible. Refuse to add them, reconcile windows and definitions first, and only aggregate a newly comparable dataset.