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Use model disagreement to choose the next measurement test

Illustration: printed charts beside a laptop, representing measurement comparison
Cover image: Illustration: Lukas Blazek / Pexels

Ben Vigneron explains how to compare several marketing mix models using the same spend, outcome and control data. Differences in channel estimates can reveal the assumptions that matter most for a budget decision. He recommends resolving consequential disagreement with a focused incrementality test. The numerical comparison and branded-search holdout in the article are synthetic examples, not observed client results; agreement between models using shared data is not a causal test.

Search Engine Land · Published

Original article byBen Vigneron
PMC READING NOTES

Why make time for it?

Useful for measurement teams deciding which uncertain channel estimate deserves an experiment before budget is reallocated.

What to look for

  • Compare model assumptions, decomposition and response curves, then record where recommendations diverge.
  • Prioritise a focused experiment when a major budget decision depends on a contested estimate.

Keep in mind

The model and holdout numbers are synthetic illustrations. The workflow assumes enough historical data and modelling capacity, and even convergent models cannot establish causal lift without further evidence.

Take this question into the article

Which disagreement between your measurement models would justify the next incrementality test?

The people behind the article

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Reading notes reviewed 16 Oct 2026. The publication date above belongs to the original source.

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