Churn Analysis for Mobile App

 
 
 
 

Problem


Marketers spend huge amount of time & money in acquiring new users for their mobile app. But if people uninstall your app soon after downloading it, all the efforts in acquiring the new user gets wasted. Churn analysis for your mobile app helps you understand the behaviour of users who will uninstall your mobile app. Additionally, it predicts the likelihood of occurrence of such event in future. This enables you to take necessary engagement actions in order to retain existing users.

Approach to Solution


Using logistic regression technique we build model which predict the user who is going to uninstall/install your app. To predict churn we use Google Analytics data as independent variables and based on that we predict the dependent variable whether existing user will churn or not.

Results


As an outcome of the analysis, we will classify your mobile app users into two different segments: users who are likely to churn in near future & users who will continue to use your app. Post Analysis you will have clear understanding of users who are going to uninstall your app & will help you create a targeted engagement strategy to retain existing users.

 

 
 
 
 
 
 
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Case Study

How we helped Paychex increase their Lead Submissions by 110%

Paychex wanted more lead submission from their Lead Gen Form. We carried out A/B test on form fields which were causing extraordinary drop off. The end result was a 110% increase in lead submissions Read case study

From the Blog

Is There A Hole In Your Bucket? Churn analysis for Mobile App

Are you losing customers on a regular basis? Are you not receiving the worth of your CAC for your mobile App?... Read more

 
Webinar

How Predictive Analytics Can Help You Strengthen Your Re-marketing Strategies

 
Who should attend

Digital Marketers, Web Analysts, Business Analysts, Anyone who knows Google Analytics and is curious to explore more