Case Study: Content-Streaming Service Provider achieves 3X user retention and 11% more paid subscribers with Kochava Predictive Churn Modeling

Improve Retention With Predictive Churn Modeling

Content-Streaming Service Provider, which was adding roughly 350K new users per month but had retention below 7%, needed to improve retention and drive more conversions through its pay wall. They partnered with Kochava and enabled predictive churn modeling within the Kochava platform to identify at-risk users early.

Kochava’s machine learning models analyzed engagement in the first seven days post-install to predict 30-day churn likelihood, then dynamically segmented high- and medium-high churn users for targeted push offers and automated A/B/n testing of message variants. After one month the campaign delivered a 3X boost in retention, an 11% increase in paid subscriptions, and a $56K monthly revenue uplift; Kochava’s platform now runs automated audience segmentation for an always-on retention campaign.