analytics
Multi-Touch Attribution
Attribution model that distributes credit for an install across all marketing touchpoints the user interacted with before downloading.
What Is Multi-Touch Attribution?
Multi-touch attribution is a measurement framework that assigns credit for an app install or conversion to multiple marketing touchpoints rather than a single source. Unlike last-click attribution, which gives all credit to the final interaction before install, multi-touch models recognize that users often encounter several ads, social posts, or search results before deciding to download. This approach provides a more accurate picture of how different channels contribute to user acquisition.
Common Multi-Touch Models
Several attribution models exist, each distributing credit differently. Linear attribution gives equal credit to every touchpoint. Time-decay attribution gives more credit to interactions closer to the install event. Position-based (U-shaped) attribution assigns the most credit to the first and last touchpoints while distributing the remainder across middle interactions. The choice of model depends on the app’s marketing mix and the typical length of the user’s decision journey.
Benefits for ASO and Paid Acquisition
Multi-touch attribution helps marketing teams understand the true value of each channel in their acquisition strategy. An organic search impression on the app store might initiate awareness, while a retargeting ad drives the final install. Without multi-touch attribution, the app store search would receive no credit. This insight allows teams to allocate budgets more effectively and recognize how ASO efforts work alongside paid campaigns to drive installs.