MMM at your pace

A next-generation Bayesian model built on an open-source framework. Choose your update cadence and get reliable ROI measurement, saturation curves, and a clearer view of media dynamics.

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What is Marketing Mix Modeling?

Marketing Mix Modeling (MMM) is an econometric methodology that measures the impact of each marketing channel on your business outcomes. Unlike a purely digital lens, MMM reconnects media investments with the sales, leads, or revenue observed over time.

With mediaROI, MMM moves beyond heavy, infrequent projects and becomes a more accessible, more frequent, and more operational tool. You move from a late snapshot to a framework that actively supports budget decisions.

What goes in
Spend per channel
TV, Search, Social, Retail media…
Sales
Your own history
External factors
Seasonality, promotions, price
The MMM modelEconometrics + AI

No black box: every step is visible and explainable.

Isolates the effect of each channel on sales
Nets out what would have happened without advertising
Shows its assumptions and its margin of error
What comes out
Contribution per channel
What each euro invested returned
Real ROI
TV, out-of-home and offline included
Investment scenarios
Where to invest the next euro

A next-generation Bayesian model

mediaROI relies on an open-source Bayesian Marketing Mix Modeling framework whose code is public. This foundation makes it easier to integrate business knowledge, media memory effects, and saturation dynamics while keeping outputs usable for marketing teams.

Prior integration

Inject business knowledge, historical learnings, and test outcomes to better frame the model.

Adstock effects

Measure media persistence over time to understand the carryover effect of each channel.

Saturation

Visualize diminishing returns by channel and spot where additional spend becomes less efficient.

Flexible update frequency

Unlike traditional MMM projects updated at long intervals, mediaROI lets you adapt the cadence to your business needs, data maturity, and decision-making speed.

Annual

1 update per year

Semi-annual

2 updates per year

Quarterly

4 updates per year

Monthly

12 updates per year

Clear, actionable results

MMM results are presented in clear, readable views so you can interpret contribution over time, channel-level ROI, saturation curves, and budget optimization recommendations. The goal is not just to model, but to support decisions.

Teams still have access to the diagnostics needed to challenge the results, including R², MAPE, saturation readings, and overall model diagnostics.

Discover the platform

30 minutes to walk through a complete model and ask your questions