Case Study: Onefootball achieves a 7.5% reduction in app churn with Upland Localytics

Onefootball uses Localytics Predictions to rescue users and reduce app churn by 7.5%

Onefootball, a Berlin-based app for football fans offering live scores, highlights and personalized news from 100+ leagues, faced a seasonal engagement challenge: users were at risk of churning during the offseason and the team needed a way to identify and proactively re-engage high-risk users before they became inactive (churn = 30+ days without opening the app).

Using Localytics Predictions, Onefootball analyzed behavioral patterns to build a custom model that segmented users into high, medium and low churn-risk groups, then ran targeted push campaigns (with control/experiment testing) to re-engage at-risk users with personalized content. The effort reduced churn by 7.5%, delivered deeper user insights, and created a repeatable, scalable anti-churn strategy.

Onefootball

Rafael Aviles

Data Analyst