Coverage note
MMM Is Getting Smarter. It Still Can’t Do The Whole Job Alone
Read the original at AdExchanger
Read “MMM Is Getting Smarter. It Still Can’t Do The Whole Job Alone” at AdExchanger →Machine-written summary. The paragraph and the list below were written by a language model reading AdExchanger's article, not by The 5:45's editors, and they describe that article rather than add to it. (model: @cf/ibm-granite/granite-4.0-h-micro) The original, linked above, is the actual reporting.
This article explores the evolving capabilities of Marketing Mix Modeling (MMM) platforms and the challenges they present in accurately attributing revenue to specific marketing channels. As these platforms become faster and more accessible, they risk being mistaken for definitive answers rather than useful tools for informed decision-making.
What AdExchanger reported
- MMM platforms can produce different conclusions based on data preparation and model specifications
- Models may overattribute performance to media variables if growth drivers like pricing or seasonality are missing from the dataset
- Custom models and controlled experiments are essential to challenge and validate MMM conclusions