MMM (Marketing Mix Modeling)
Marketing Mix Modeling (MMM) is a statistical technique that estimates how much each marketing channel contributes to bookings or revenue by analysing aggregated historical data, such as weekly spend per channel alongside bookings, seasonality, pricing, promotions and external factors like events or weather. Unlike user-level tracking, it needs no cookies or personal data.
How it works
Analysts build a regression-style model in which bookings are explained by spend in each channel (metasearch, paid search, display, email, OTA advertising), with adjustments for lagged effects and diminishing returns. The output is each channel's estimated contribution and marginal return, which supports budget reallocation.
Example
A hotel group spends €200,000 a quarter across four channels. The model estimates that metasearch drives 30% of incremental bookings but display only 4%, with display showing sharply diminishing returns above €20,000. The group shifts €15,000 from display to metasearch and tracks the result.
Why it matters
Privacy rules (GDPR), browser cookie limits and the rise of the Dark Funnel have weakened click-based tracking. MMM gives a top-down view that includes offline and upper-funnel activity, and it helps judge whether OTA advertising such as Sponsored Listings or Visibility Boosters delivers genuine Incrementality rather than capturing bookings that would have happened anyway. Its limits: it needs one to two years of consistent data, works best at channel level, and cannot explain individual guest journeys.
Related
- Multi-Touch Attribution (MTA) and Last-Click Attribution are bottom-up, user-level alternatives.
- ROAS, CPA and Cost of Distribution are the metrics MMM helps optimise.
- Incrementality testing is often used to calibrate MMM results.