A good marketing mix modeling consultant does more than build a model. They help you decide what data to trust, design tests that check the model against reality, and turn the results into budget decisions your finance team will sign off on. If a consultant only talks about the model, keep looking.
I've built MMM programs in-house, including at Credit Karma, where unified media measurement helped grow the marketing budget from $100M to $300M while ROI went up. Here's what I'd look for if I were hiring someone to do it for me.
What an MMM consultant should deliver
- A data audit before any modeling. Spend, impressions and outcomes by channel and week, checked for gaps, double counting and tracking changes. Most MMM problems are data problems.
- A model you can explain. You should be able to say in plain English why the model credits a channel the way it does.
- Calibration with experiments. A model alone is a set of correlations. Geo tests or holdouts check whether the model's answer for a channel holds up.
- Budget scenarios. The output that matters is "move $X from channel A to channel B and expect Y," with a range, not a single number.
- A handoff plan. Who refreshes the model, how often, and what your team needs to own it.
Questions to ask before you hire
- How do you validate the model? (Listen for experiments, holdout periods and out-of-sample checks.)
- What happens when the model disagrees with platform attribution?
- Which open-source or commercial tools do you use, such as Meridian, Robyn or PyMC-Marketing, and why?
- How much history and spend do we need for the model to be worth it?
- What will our team be able to do on its own after the engagement?
Consultant, tool or in-house hire?
| Option | Best when | Watch out for |
|---|---|---|
| SaaS MMM tool | You have clean data and an analyst who can own it | Black-box outputs nobody can defend to finance |
| Consultant | You need it built right, validated and adopted in a few months | Dependence on one person if there's no handoff |
| In-house hire | MMM will drive a large budget every quarter | A 6+ month ramp before the first useful read |
Many teams do a mix: a consultant sets it up and validates it, and then an in-house analyst runs it.
Signs you're ready for MMM
You spend across at least four or five channels, including some that click-based attribution can't see (TV, CTV, OOH, podcasts or brand). You have about two years of weekly data. And someone senior is asking where the next dollar should go.
If that sounds like your team, a Measurement Audit is the fastest way to find out whether MMM, experiments or both are the right next step.