Incrementality testing or MMM — which is more accurate?

They're different tools: experiments give causal proof on the channels you test; MMM gives continuous, broad coverage. Many teams triangulate both.

Does The Ad Spend replace either?

No — it's the operational layer (change record + causal detection + action), not a channel-measurement model. It pairs with either.

Head-to-head · MMM & incrementality (measurement)

Two ways to measure the media mix.

Measured vs. Prescient AI — feature comparison
Capability	Measured	Prescient AI
Core method	Geo incrementality experiments + Bayesian MMM	ML-based marketing-mix modeling
Proof style	Experiment-backed (test and measure)	Modeled (daily, pixel-free)
Speed	Experiment cycles	Daily updates
Budget guidance	Where to invest, test-validated	Daily campaign-level recommendations
Best for	Teams wanting experiment-proven incrementality	Teams wanting always-on modeled guidance

Choose

Measured

Pick Measured if you want experiment-backed proof a channel is incremental before you move budget — especially for hard-to-track media.

Choose

Prescient AI

Pick Prescient AI if you want always-on, daily MMM and budget recommendations without running formal experiments.

Incrementality testing or MMM — which is more accurate?: They're different tools: experiments give causal proof on the channels you test; MMM gives continuous, broad coverage. Many teams triangulate both.
Does The Ad Spend replace either?: No — it's the operational layer (change record + causal detection + action), not a channel-measurement model. It pairs with either.