[Webinar] Predict Your App Uninstalls and Prevent your Churning Users using Machine Learning
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Predict who is going to Uninstall your app within the next 7 days and prevent them from Churning Learn how to approach this uninstall problem using Machine Learning Prediction Models. In this 45 minute interactive session with Bismayy Mohapatra, you’ll learn how to: 1. Predict with accuracy which app user is going to uninstall your app within the next ‘n’ days 2. Segment your high probable churning app users and retain them Get to know your high probable churning app users and ensure you don’t lose them by pushing them personalized notifications and marketing offers.
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[Webinar] Predict Your App Uninstalls and Prevent your Churning Users using Machine Learning
- 1. Predict Your App Uninstalls Webinar hosted by Tatvic Analytics
- 2. Speakers Aditi M Buch Ambassador of Buzz Bismayy Mohapatra Product Manager
- 3. Type your comments and questions here @Tatvic
- 4. Agenda Uninstall Stats Why do Users Uninstall Predicting Uninstalls - PredictN Model Use Case - Ecommerce App
- 5. But
- 6. Only
- 7. And
- 8. Ouch
- 9. A Kantar/ITR study from showed that an average of 26% of app installs are uninstalled in the first hour. That uninstall rate rises to 38% in the first day, 64% in the first month, and about 89% over 12 months. Those figures represent the average across all app types.
- 11. Agenda Uninstall Stats Why do Users Uninstall Predicting Uninstalls - PredictN Model Use Case - Ecommerce App
- 12. Why do Users Uninstall? 77% Memory space on your phone is very less 65% App takes too much time to load 53% Too many push notifications a day 74% I show you a lot of Ads *Results of survey done at Tatvic Analytics with 150 respondents during May 2017
- 13. More Reasons.. App UI/UX is complicated App consumes too much of internet data App drains your battery faster Another app which gives same service App crashes again and again
- 14. What makes you uninstall an App? https://goo.gl/forms/p7ist3mfYmxrIziP2
- 15. Agenda Uninstall Stats Why do Users Uninstall Predicting Uninstalls - PredictN Model Use Case - Ecommerce App
- 16. Scenario* 1 Mn+ Downloads on Google Play 2 K Daily Active Users 0.5 K Daily Uninstalls CPI (Cost Per Install) > $ 1 Avg. Life Span < 10 days * Figures are for representational purposes
- 17. Problem Cost of Acquisition Cost of Man hours spent in App Dev Cost of Uninstall Tracking Tool Cost of Acquisition Campaigns >> LifeTime Value Frequency of Transactions Average Transaction Value Marketer gets to know only after App is Uninstalled &
- 18. Solution - PredictN Model Predict the uninstall probability of an app user and determine whether the user will uninstall within the next ‘n’ days 15 More Attributes Device Details Data Connection Memory Space Days since Last Visit Avg Visit Duration Count of Visits Device Identifiers Note: Analytics Tool & Tatvic’s Uninstall Library are Data Sources for Model
- 20. Process CONNECT COLLECT IMPLEMENT MODEL ANALYZE Connect Analytics with PredictN Install Uninstall Library & Collect Attributes data Predict App users who will Uninstall Target the Probable churning App Users Build PredictN Uninstall Model
- 21. Action Segment the App Users who are highly probable to Uninstall Retarget the segment by Push Notifications & Email Offers Prevent App Users from Churning & Improve Retention Rate
- 22. Agenda Uninstall Stats Why do Users Uninstall Predicting Uninstalls - PredictN Model Use Case - Ecommerce App
- 23. Use Case - Ecommerce App New Users Cohort 2.4 Mn Time Period 1st May - 15th May 2017 Dataiku for POC Tools Used Big Query for GA 360 Uninstall Library Logs from AWS Server
- 24. PredictN Model Results Model Accuracy 87% Churn Predicted 0.2 Mn Avg Sessions Count 1.0 (15 day) Avg Revenue 430 INR Avg Transactions 0.13 (15 day) Channel Direct (62%) Avg Session Time 574 sec
- 25. Connect to Marketing Tools and Prevent Churning 0.2 Mn Users Retarget using paid display/ search ads on PlayStore Send personalized push notifications to drive users back Run mailer campaigns with promotional offers Predicted to Uninstall within the next 15 days
- 26. How to interact today? Type your comments and questions here @Tatvic
- 27. A Token of Gratitude Thank You for Staying With Us Avail Your Free Demo GA Audit Today! Coupon Code: WEBN_PREDICTN_FREE_GA_AUDIT
- 28. What’s Next? Upcoming Webinar: The Power of Remarketing when Google Analytics 360 joins force with PredictN When: July 06, 2017 | Time: 8.30 PM IST Speaker: Bismayy Mohapatra, Product Manager Register Here: https://goo.gl/Nx5LKE
- 29. Thank You!For More Details, Write to Us at marketing@tatvic.com