Segment users based on historic data or track users live by adding them to a segment the moment their behavior matches your criteria.
Group users based on key in-app activities, such as users who completed a purchase in the last 90 days.
Target users who haven’t completed an action, such as users who haven’t launched the app in the last 30 days.
Engage users with campaigns based on specific user properties, such as location or subscription tier.
Strike while the iron is hot by tracking what users are doing in your app right now. Whether it’s a high-value purchase or a transaction not yet completed – immediacy is key.
Track specific user actions like viewing a product, building a playlist, or purchasing a subscription.
Pinpoint users who haven’t done key actions like finishing a movie or completing a purchase.
Add date or time properties to segments, like tracking users who order delivery at a certain time
What if instead of behavior alone, you could automatically group users by their interests, habits, and other personal preferences? We call these psychographic segments and they work like magic.
Target based on event properties, like shoppers who buy accessories but are most interested in shoes.
Zero in on user habits by building segments based on time, like viewers who watch comedies between 7-11 pm.
Identify trends and opportunities, like users who add dessert to takeout orders on Saturdays.
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