USER CHURN PREDICTION FOR SMARTER APP MARKETING
WHY CHURN PREDICTION?
LOWER ACQUISITION COSTS
Scoring users by churn likelihood means better visibility over where to target marketing efforts.
By scoring users for churn probability, app marketers can know which users are likely to leave the app and avoid waiting for their best users to lapse before starting retention campaigns.
MACHINE LEARNING MODELS PREVENT APP USERS FROM LEAVING FOREVER
In every app, there’s a moment in the user journey when a user is likely to churn
Once a user churns, it’s difficult to re-engage them, and it’s likely they’ll download a competitor’s app
Scoring users based on churn probability allows marketers to make smarter decisions for retargeting, cross-promotion and beyond
USER CHURN PREDICTION FOR REAL RETENTION INSIGHTS
of an app user base allows marketers to make smarter decisions for retention strategy, including push notifications, emailing, retargeting, cross-promotion and beyond.
HOW DOES IT WORK?
Our standalone churn algorithm analyzes the entire app audience
It segments your user base by churn probability over a defined period of time
You receive the list of segmented user IDs and you choose your retention strategy
GET SMARTER ABOUT PREVENTING USER CHURN
Native integration with Adikteev Retargeting DSP and Cross Promotion platform
Automated backtesting of prediction accuracy
Possiblity to download user ID list for owned media usage
SOLVE THE USER CHURN PUZZLE
Predict which users are likely to leave your app for good and keep them