Attribution

What Is MMM (Media Mix Modeling) (Media Mix Modeling)?

Q: MMM or attribution?

Both. Attribution steers daily decisions; MMM validates the big picture quarterly. Only together do you get a full view.

Q: Do I need a vendor for MMM?

For your first run, an open-source model (Robyn) plus a data analyst is enough. Vendors add speed, expertise, and confidence intervals — worth it above $2M/yr in spend.

Media Mix Modeling (MMM) is a statistical technique that measures each marketing channel's contribution to revenue using 2+ years of historical spend and outcome data. Unlike digital attribution, MMM works at aggregate level — no cookies, no user-level tracking — so it survives iOS, cookie loss, and consent mode.

How it fits

A brand feeds 24 months of weekly data (spend per channel, revenue, seasonality controls, promotions, weather, holidays) into an MMM tool like Meta's Robyn or Google's LightweightMMM. The model outputs channel contribution curves — how much each dollar of Meta, Google, TV, or influencer actually drove.

Benchmarks

Minimum data: 2 years weekly, ideally 3+.
Open-source options: Meta Robyn, Google LightweightMMM.
Vendor cost: $30K–$200K/year for managed MMM (Recast, Haus, Northbeam).

Why it matters

MMM is how big brands measure marketing in a post-cookie world. It's also the only technique that credits offline channels (TV, print, sponsorships) alongside digital in one framework.

Common mistakes

1.Running MMM with < 18 months of data. Model can't separate seasonality from signal.
2.Ignoring incrementality tests. MMM + geo lift together beat either alone.
3.Treating MMM as one-and-done. Rerun quarterly as spend patterns shift.

Put MMM (Media Mix Modeling) to work

Related services

Performance Marketing Consulting

FAQs about MMM (Media Mix Modeling)

MMM or attribution?

Both. Attribution steers daily decisions; MMM validates the big picture quarterly. Only together do you get a full view.

Do I need a vendor for MMM?

For your first run, an open-source model (Robyn) plus a data analyst is enough. Vendors add speed, expertise, and confidence intervals — worth it above $2M/yr in spend.