Case Study

Using Adjust to optimize long user conversion cycles

Using Adjust to optimize long user conversion cycles

Pages 6 Pages

Using Adjust to optimize long user conversion cycles CASE STUDY: STRAVAThe Challenge There's never been a one-size-fits-all model for measuring mobile performance. And for Strava, the unique challenge of attributing real lifetime value to a subscription-based service — with minimal post-install visibility from their networks — was a real hurdle to cross.Strava’s set up Strava is an exercise app that doesn’t have a conventional way to monetize users, which means that there is no traditional app conversion flow. Typical apps — like gaming or eCommerce apps — focus on early monetization via in-app purchases after a free download. For those apps, app installs are an important KPI to track performance, but for Strava, app installs aren’t as important as user engagement. It isn’t

Join for free to read