Question 1

How is MMM different from multi-touch attribution?

Accepted Answer

MTA tracks individual users across touchpoints using cookies and device IDs, which is increasingly unreliable as privacy regulations and multi-device shopping journeys limit that tracking. Unlike MTA, MMM analyzes aggregated sales data and works across every channel without relying on user-level tracking.

Question 2

How much historical data do I need for an MMM?

Accepted Answer

From 18 to 36 months of weekly media spend and sales data gives us enough to build a robust MMM model and validate its results. Brands with less history can still get a model built, though results carry wider confidence intervals until more data accumulates.

Question 3

Can MMM measure offline channels like TV and OOH?

Accepted Answer

Yes. Because MMM works on aggregated outcomes rather than clicks, it can include GRPs, spend, and flighting data for TV, out-of-home, radio, and print in the same model as your digital channels. This is one of MMM's core advantages over tools that rely on digital tracking.

Question 4

How long does it take to build and deliver an MMM?

Accepted Answer

ELIYA typically delivers a model in days, not the months common with traditional agency-built MMM. Modeling and validation are led by a PhD-level data scientist who reviews the result before it reaches you.

Question 5

Do I need to stop using other attribution tools?

Accepted Answer

No. Many clients keep their existing platform-reported metrics running for day-to-day campaign optimization. MMM sits above those tools as the source of truth for budget-level decisions, not a full replacement for every tool in your stack.

Question 6

Does MMM work for both online and in-store (omnichannel) retail?

Accepted Answer

Yes. Because MMM works on aggregated outcomes rather than individual clicks, it can include e-commerce, marketplace, retail media, and point-of-sale data in the same model, so you get one consistent view of what's driving revenue across every channel you sell through.

Question 7

Can MMM account for promotions and sales events like Black Friday?

Accepted Answer

Yes. Promotions, discounts, and seasonal events are built into the model as covariates, so a holiday spike or a sale-driven lift is separated from the actual incremental effect of your marketing, instead of getting credited to whatever channel happened to be running at the time.

Question 8

How does MMM handle marketplace and retail media spend, like Amazon or Walmart Connect?

Accepted Answer

Retail media and marketplace spend are modeled on the same basis as paid social and search, so you can compare their real return directly instead of evaluating them in isolation with a different set of metrics.

Dimension	MMM	MTA
How it measures impact	Statistical analysis of aggregated marketing and business data over time	Tracks individual users across touchpoints via cookies and device IDs
Privacy compliance	Fully compliant, no user-level tracking required	Increasingly unreliable under GDPR, ITP, iOS ATT
Offline channel coverage	Yes, can measure TV, OOH, radio, and other offline channels	No, cannot measure offline channels
Walled-garden visibility	Not required, works on aggregate outcomes	Breaks down across walled gardens and devices
Time horizon	Long-term: several weeks to several months (quarterly)	Short-term: daily to weekly

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Marketing Mix Modeling vs. Multi-Touch Attribution (MTA)

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