Case Study: Smule achieves enriched, integrated data and faster troubleshooting with Adjust

How Smule uses Adjust to enrich their data

Smule, the App Store’s #1 singing app, was struggling with fragmented data that ate into engineers’ and data scientists’ time and left their user-acquisition (UA) team without timely, actionable insights. Reconciling different systems meant slow analysis, limited per-event geolocation for troubleshooting streaming issues, and difficulty spotting anomalous install patterns that could indicate ad fraud.

By adopting Adjust as an integration layer — using its SDK, dynamic callback parameters and timestamps — Smule appended unique IDs, per-event geo/carrier data and precise timestamps to their events. The UA team gained real-time callbacks and self-service dashboards, Smule can interpolate IP/geo for rapid streaming issue diagnosis, and timestamp analysis improved fraud detection, resulting in higher data quality, faster troubleshooting and more autonomous campaign management.

Smule

Andrew Platt

Director of Data Engineering