Case Study: Strava achieves better attribution and optimizes long user conversion cycles with Adjust

Using Adjust to optimize long user conversion cycles

Strava, an app focused on building an engaged community of athletes and selling subscription “Summit” packs, faced a unique measurement challenge: monetization happens long after install and social/self-attributed networks gave minimal post‑install visibility. Rather than tracking installs, Strava needed to measure engagement-driven conversions — exemplified by its CPSUM7D KPI (cost per user who uploads an activity within 7 days) — but lacked the attribution to allocate budget across a long conversion window.

Strava integrated Adjust’s SDK for real‑time attribution, event tracking and native S3 raw‑data exports, giving visibility into post‑install behavior at scale without large analytics teams. With Adjust linking installs to uploads and other in‑app events, Strava could identify high‑intent users, optimize campaign spend toward those most likely to convert, and drive measurable uplift in marketing efficiency.

Strava

Michael Nguyen

Strava