Comparisons
Measurement vendors and methods, compared honestly
Every vendor comparison in this category is written by a vendor. That is why they all conclude the same way.
What is the question keeping you up at night?
You want market testing.
Haus and other experimentation platforms measure cause directly. Nothing else does.
Watch out · One question at a time, weeks to read out, and real money in held-back spend.
4 pages
- Google Meridian vs Robyn vs a custom modelMeridian and Robyn are both free and credible.3 min
- Recast alternatives: what else solves the same problemThe real alternatives fall into three groups: other managed MMM vendors, free open-source frameworks you run yourself (Meridian, Robyn, PyMC-Marketing), and a custom model built for you and handed over.3 min
- Haus alternatives: other ways to measure real liftAlternatives split three ways: other incrementality platforms, running match-market tests yourself, or replacing testing with a properly validated model.3 min
- When you should not buy an MMMDo not buy an MMM if you spend under roughly $5–10M a year on media, if your spend has been flat so there is nothing to learn from, if your data cannot support it, if nobody will own it after launch, or if the decision is already obvious.3 min
Where we’re different
Click a claim. We’ll show our work.
Marketing mix modeling is a time-series problem. So we hide the last three to six months from the model, then make it predict them. If it cannot get under 10% error on months it never saw, we do not ship it — and you get your money back. Ask anyone else on your shortlist for that number. Most of them do not have it.
We are data scientists, not a software company. We do not sell a tool that competes with the vendors on these pages. That is why we will tell you when one of them — or a free open-source framework — is the better answer for you.
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