AI-driven predictive segmentation that anticipates user intent and enables proactive engagement.
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Anticipate User Behavior with AI Utilize predictive segmentation to forecast conversions, churn, uninstalls, and key actions with continuously evolving dynamic segments.
Uncover What Drives Every Prediction Understand exactly why users fall into each likelihood bucket with clear, explainable prediction drivers. Engage Ahead of the Moment Proactively engage users with high-impact campaigns powered by predictive insights – before opportunities are lost. 
Build predictive segments that adapt in real time, helping you anticipate user behaviour with precision.
Create and refine predictive segments through a modern, streamlined UI that simplifies setup, reduces manual effort, and lets you move from insight to action in just a few clicks.
Deliver the right message at the right moment by targeting users based on high, medium, or low likelihood buckets, whether it’s a churn risk alert, a purchase propensity nudge, or an upsell opportunity.
Tailor campaigns with precision by combining segments with demographic, geographic, or behavioral attributes – for example, targeting males in London likely to purchase within 7 days, enabling hyper-relevant experiences for every micro-segment.
Gain valuable insights into engagement ROI by comparing conversions across target and control groups for high, medium, and low likelihood buckets.
Track trends, user distribution, and performance patterns through an intuitive interface built for faster, data-driven decisions.
Get clear visibility into the behavioral patterns, and other contributing factors that determine why users fall into high, medium, or low likelihood buckets.
Understand the exact rule sets and signals driving each prediction, giving you full confidence and deeper insights in how segments are formed.
Use Predictive segmentation to identify shoppers with a low likelihood to convert in the next 7 days and proactively bring them back into the purchase funnel. Build tailored win-back journeys – featuring personalized product recommendations, limited-time offers, or cart-comeback nudges, to revive interest and drive conversions. Deliver hyper-relevant messages across channels to reduce drop-offs and recover potential revenue before it’s lost.
Leverage Predictive segmentation to identify users showing early signs of dormancy and a high likelihood of disengaging from your app or website in the coming days. Proactively re-engage these at-risk users with timely, personalized nudges – such as reminder notifications or exclusive rewards – to bring them back before they drop off. Enable your marketing teams to run precision-targeted re-engagement campaigns that reduce churn, and increase active usage, powered by AI-driven predictions and real-time behavioral insights.
Spot subscribers with a low likelihood of renewing in the next 14 days and proactively engage them before they churn. Deliver personalized retention nudges – such as exclusive renewal discounts, extended trial periods, loyalty rewards, or reminders using AI-powered predictive segmentation – before they churn. Empower your growth teams to run targeted win-back campaigns that safeguard recurring revenue and boost long-term subscriber value through AI-driven foresight.
Identify paid players with a high likelihood of dropping off at a specific level within a particular region, and intervene before they disengage. Deploy personalized in-game nudges, such as strategic power-ups, level-specific tips, bonus rewards, or limited-time boosters, to help players overcome difficulty spikes and stay motivated. Enable your growth and product teams to run targeted retention campaigns that sustain player momentum, reduce churn, and maximize lifetime value using AI-driven insights.
“CleverTap’s Predictions has allowed us to move from reactive targeting to anticipating what our users are likely to do next. Compared to our standard CVM campaigns, we saw 2x higher CTR and a 50% lift in conversions by targeting highly likely segments.”
“CleverTap’s Predictions model helped us proactively identify users at risk of churn, specifically those who had placed an order but never returned. By building segments across multiple windows, we were able to intervene early with timely and relevant communications resulting in higher campaign ROI.”
