Case Study
Using Adjust to optimize long user conversion cycles
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