Predict churn before it happens with real-time risk scoring and proactive interventions.
5-minute product demo of the Predictive Churn Prevention module
By the time churn happens, it's too late—you need to act before customers decide to leave
Most CS teams only learn about churn risk when customers cancel or fail to renew.
Without real-time health scores, you can't prioritize which accounts need attention first.
CS teams waste time on healthy accounts instead of focusing on high-risk churners.
ML-powered churn prediction with automated intervention workflows
Machine learning models analyze usage patterns, support tickets, payment history, and engagement to predict churn risk.
Track account health across product usage, sentiment, support interactions, and billing status.
Automated alerts when risk scores cross thresholds—notify CS before churn happens.
Suggested actions and automated workflows to re-engage at-risk customers based on risk factors.
Predictive models trained on usage, billing, support, and engagement data.
Real-time customer health scores (Red, Yellow, Green) across your entire base.
Automatically segment customers by churn risk and prioritize interventions.
Slack/email alerts when customers move into high-risk categories.
Pre-built intervention workflows (check-ins, feature tutorials, incentives).
Measure churn prevented, revenue saved, and CS efficiency gains.
RetainIQ Retain typically delivers
Reduce preventable churn with proactive interventions
Identify churn risk 2-3 months before cancellation
Focus CS time on high-risk accounts vs. busy work
* Results vary by business size, payment processor, industry, and failure volume. Figures based on industry benchmarks and market analysis. Individual results may differ.
Our ML models analyze 50+ signals to predict churn
Prioritize outreach to at-risk accounts instead of wasting time on healthy customers.
Forecast churn, model retention impact, and optimize pricing for at-risk segments.
Run proactive retention experiments and measure impact on LTV and net revenue retention.
Get instant visibility into account health and retention risks across your entire customer base.
Join the MVP launch in March 2026. Limited early access spots available.