Which channels actually earn their budget?

MMM Studio trains a full Bayesian marketing mix model on your data with Google Meridian, then independently re-models it with PyMC-Marketing (PyMC Labs) to cross-check every channel ROI. Then our Ridge/log-log baseline + proprietary spec-stability fleet refits the model hundreds of times to show which ROI directions are robust to modeling choices — not just a single best guess. You get credible intervals, response curves, a budget optimizer, and a board-ready deck, with an honest consensus verdict.

Starts with: MMM-ready media and outcome history
What it examines: Bayesian MMM, engine cross-check, specification stability and scenario analysis
What it produces: ROI intervals, curves, scenarios and board-ready PPTX

Channel ROI with 90% credible intervals
Cross-checked by PyMC-Marketing
Ridge/log-log baseline + spec-stability fleet
Budget optimizer + PPTX deck

Evidence boundaryData, priors and model specification constrain inference; an MMM is not a controlled experiment.

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MMM Studio requires a free account. Each model run takes 10–30 minutes of dedicated compute, so runs are capped per day.