Case Study: inDrive eradicates 90% of hidden attribution data with AppsFlyer Data Collaboration Platform

inDrive unlocks 90% of hidden attribution data with AppsFlyer

inDrive, the world's second-largest ride-hailing app, faced significant challenges in tracking the performance of its marketing campaigns due to signal loss and user data limitations from self-reporting networks like Meta and Google. This lack of visibility made detailed, campaign-level attribution impossible, hindering their expansion into new markets. To overcome this, inDrive turned to its mobile measurement partner, AppsFlyer, to implement a new solution.

AppsFlyer implemented its Data Collaboration Platform, a privacy-centric data clean room, for inDrive. This solution used privacy-enhancing technologies to securely combine restricted data with inDrive's own first-party data, generating aggregated reports. The result was that inDrive eradicated 90% of its previously "in-the-dark" data, gaining complete visibility into campaign performance and enabling highly efficient budget allocation based on accurate metrics like CPI.

inDrive