Recovering carts after abandonment works — but preventing or intercepting before exit often delivers better margin. AI analyzes browsing patterns, checkout hesitation, and history to estimate abandonment probability.
Signals that matter
Idle time on payment step, repeated PDP returns, exit after viewing shipping, and short sessions with high cart value are strong indicators. The more store events you capture, the better the model.
Preventive action, not just reactive
When risk score rises, trigger benefit reminders (shipping, installments), proactive WhatsApp support, or contextual incentives — without blanket discounts on every visit.
Measure incrementally
Compare conversion and recovered revenue between predictive intervention and control groups. Klivvo helps segment by behavior and trigger flows at the right time.