Marketing Mix Modeling
Apply statistical models to understand the true contribution of each marketing channel.
What Is Marketing Mix Modeling
Marketing Mix Modeling (MMM) is a statistical analysis technique that quantifies the contribution of each marketing channel (and non-marketing factors) to business outcomes like revenue, using aggregated historical data rather than user-level tracking.
MMM was developed in the 1960s for TV and print advertising and has experienced a renaissance as digital tracking becomes less reliable — it is the only measurement approach that works completely without user-level identifiers or cookies.
MMM vs Attribution: Key Differences
Attribution works at the individual user level, tracing specific customers through their journey across tracked touchpoints. MMM works at the population level, analyzing aggregate spend and revenue patterns over time to infer channel contribution.
Attribution is granular but incomplete (it misses offline, dark social, and untracked touchpoints). MMM sees the full picture statistically but cannot identify individual customer journeys. The two approaches are complementary rather than competing.