App Churn Management

Fortify your mobile marketing strategy with our AI Engine, Raman, to predict and arrest app uninstalls by 10-12% as you make user retention your North Star Metric!


Set up Relevant Prediction Periods

Depending on your app category, the frequency at which your users launch the app to access your product/service varies. Defining this time period is key to accurately predicting app churn or uninstalls. Set up the prediction period relevant to your app – 7/14/28 days – and, then allow Raman to use patented ML algorithms to help you predict and manage churn.

Benefit from Auto-Predicted Segments

Raman can predict the users who are “Most Likely to Churn”, “Moderately Likely to Churn”, and “Least Likely to Churn” in the next 7/14/28 days. You will see an accurate count of users under each of these segments. Raman also predicts how likely are users to churn in each of these segments if there are no remedial actions taken to stop them from uninstalling your app.

Craft Actionable Re-engagement Campaigns

Based on Raman’s predictions, identify the segment you want to target. Then without having to leave the Churn Management Dashboard choose the most relevant channel to re-engage your targeted users – email, SMS, app push notifications, or web push notifications. These AI-led predictions increase in value if you take remedial action through an effective marketing campaign.

Track App Churn Management Performance

Track the performance of your targeted campaigns on the Churn Management Dashboard using Accuracy, Churn Arrested, and Opportunity Loss metrics. This will accurately show you the number of users you prevented from churning with your targeted campaigns and the number of users who weren’t targeted with a contextual re-engagement campaign and didn’t use your app.

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