
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.
RETAIN PAYERS
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
Step 1: Go to the cross-promotion platform and connect your app store ID to import your portfolio titles
Step 2: Easily manage your source and destination apps by choosing where you would like the ad to be promoted from a custom list
Step 3: Accurately select your targeted audience for cross-promotion with the slider based on the churn score of each user
Step 5: Monitor the performance of your cross-promotion campaign in real time with the reporting dashboard

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