Multi-Touch Attribution

Multi-touch attribution (MTA) recognizes that customers interact with multiple marketing channels before converting. Instead of giving 100% credit to a single touchpoint (like first-click or last-click), MTA distributes credit across all touchpoints that influenced the conversion. Common multi-touch models include linear attribution (equal credit to all touchpoints), time-decay (more credit to recent touchpoints), position-based (more credit to first and last touch), and data-driven attribution (algorithmic credit assignment based on historical data). The challenge with MTA is that it requires tracking users across devices and sessions, which has become increasingly difficult due to cookie restrictions and privacy regulations. This has led many brands to explore marketing mix modeling (MMM) and incrementality testing as complementary approaches.