Entropy

We design the tests, calibrate the MMM, and hand you the budget split.

Experiments, incrementality studies, models. The number, its interval, and a plain reading of what to do with next quarter's budget.

What we do

  • Geo-lift experiments

    The gold standard. We pick the regions, hold some out, run the rest, and read the lift with a confidence interval. Run on EPYC.

  • Synthetic controls and causal reads

    Cannot hold markets out? We build a control from the markets the spend never touched. Question about something that already happened? We test the lag and the causation.

  • Marketing Mix Models

    Or, as we call them, geo-lift interpolation models. Calibrated on the experiments above, not on last-click. When a partner tool fits better we use cassandra.app and say so.

  • The reading

    Not a deck of charts. A short written answer: what worked, what did not, what we do not know yet, and where the budget should go.

What you get

A number you can check, the method that produced it, and the platform that ran it. Every engagement runs on EPYC, so the experiments, the funnel roles, and the results stay with you.

And the limits, stated. If the interval includes zero, the test was inconclusive and we say so. If the data cannot separate two effects, we say that too. The method is public.

Book a callRead the method