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USER CHURN PREDICTION FOR
SMARTER APP MARKETING
 
  >90% Machine learning model accuracy
 
             Make the most of your UA investment
 
         Score users for churn probability and get actionable insights 
 

USER CHURN PREDICTION FOR SMARTER APP MARKETING

 
Make the most of your UA investment
 
  Score users for churn probability and get actionable insights
 
80%
Machine Learning modele backtesting accuracy
video poster image
 
USER CHURN PREDICTION FOR SMARTER APP MARKETING
 
  >90% Machine learning model accuracy
 
  Make the most of your UA investment.    
 
   Score users for churn probability and get actionable insights
USER CHURN PREDICTION FOR
SMARTER APP MARKETING
>90% 
                  
 
           
Machine learning model accuracy
Make the most of your UA investment
 
Score users for churn probability and get actionable insights 

 

USER CHURN PREDICTION FOR
SMARTER APP MARKETING
>90% 
           
 
 
 
 
 
 
 
           
 
Machine learning model accuracy
 
Make the most of your UA investment 
Score users for churn probability and get actionable insights 
USER CHURN PREDICTION FOR
SMARTER APP MARKETING
 
>90%    Machine learning model accuracy
 
    Make the most of your UA investment 
 
               Score users for churn probability and get actionable insights 

WHY CHURN PREDICTION?

 

LOWER ACQUISITION COSTS

70% of app users churn on day 1.

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

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In every app, there’s a moment in the user journey when a user is likely to churn

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Once a user churns, it’s difficult to re-engage them, and it’s likely they’ll download a competitor’s app

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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

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Retention over reacquisition
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It’s more difficult and less cost-efficient to reacquire users after they've churned than to retain them while they are still active.

 

Churn probability scoring
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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?

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Our standalone churn algorithm analyzes the entire app audience

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It segments your user base by churn probability over a defined period of time

 

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You receive the list of segmented user IDs and you choose your retention strategy

GET SMARTER ABOUT PREVENTING USER CHURN

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Native integration with Adikteev Retargeting DSP and Cross Promotion platform

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Automated backtesting of prediction accuracy

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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