Why in-house MMM rebuilds are the logical response to attribution loss, and why the agencies that owned the model for thirty years are not getting the call.

Marketing mix modeling is coming back because the alternative stopped working, and the rebuilds we hear described are in-house: a data scientist and a Bayesian library, not the agency that historically owned the model. This is our reading of the shift, not a survey finding.
The reason is uncomfortable for the holding companies. Once a brand has its own first-party sales data, an MMM is closer to a six-week engineering project than a six-month consulting engagement. The hard part used to be the data plumbing. The plumbing is now standard.
What we're seeing in the rebuilds: weekly cadence (not quarterly), media + non-media variables in the same model (price, distribution, weather), and a UI that lets the CFO ask 'what if' without filing a ticket.
The implication for marketers is the same one we keep writing: the role is shifting from 'I commissioned the model' to 'I operate the model.' That role is closer to the CFO than to the agency.
Last-click died the moment iOS 14 shipped. We've been pretending otherwise for four years. The pretending is over.
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