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Reference table

Multi-touch attribution vs marketing mix modeling vs incrementality

Table comparing multi-touch attribution, marketing mix modeling and incrementality testing on data needs, offline media, identity loss, speed and causality.
Only incrementality testing gives a causal answer, and it answers one question at a time.

A side-by-side comparison of the three main ways to measure marketing: multi-touch attribution, marketing mix modeling and incrementality testing. It covers the unit of analysis, core technique, data each one needs, whether it handles offline and brand media, how it copes with identity loss, speed, whether the output is causal and how each typically fails. Use it to choose a measurement approach.

Where this appears

What's in this reference table

Multi-touch attributionMarketing mix modelingIncrementality testing
Unit of analysisThe individual user journeyAggregate spend and sales, usually weeklyA randomized or quasi-randomized group
Core techniqueRule-based or algorithmic credit splittingRegression on time series, increasingly BayesianRandomized controlled trial, geo holdout, matched market
What it needsUser-level identity across touchpoints2-3 years of spend and sales historyAbility to withhold ads from a real group
Handles offline and brand mediaNoYesYes, with geo designs
Survives identity lossPoorlyYesYes
Speed to answerNear real timeWeeks to months per refreshWeeks per test, one question at a time
Is the output causalNoOnly under strong assumptionsYes, within the tested population
Typical failure modeCredits demand it did not createConfounds correlated spend, opaque baselineUnderpowered, narrow, expensive

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<p>Source: <a href="https://www.koji.so/visuals/mta-vs-mmm-vs-incrementality-comparison-table">Multi-touch attribution vs marketing mix modeling vs incrementality</a>, Koji</p>