Identify at-risk subscribers before they cancel with machine learning that analyzes 50+ behavioral signals, giving you time to intervene and save the relationship.
Traditional analytics tell you what happened. Chargezen's AI tells you what's about to happen. Our machine learning models analyze patterns across thousands of subscription businesses to identify which of your subscribers are at risk—30 days before they actually cancel.
Every subscriber gets a real-time risk score based on their behavior patterns and historical data.
50+ behavioral signals including engagement, support tickets, payment failures, and more.
Automatically trigger retention workflows when risk scores cross your defined thresholds.
Our models continuously improve by learning from your specific customer base and outcomes.
Get started in minutes with our intuitive setup process.
Connect your Shopify store and we automatically start collecting behavioral signals.
Our AI learns from your historical data and industry patterns to build predictive models.
Every subscriber receives a dynamic risk score that updates based on their behavior.
When scores indicate risk, automated workflows or alerts help you intervene.
Stop waiting for cancellation requests. Intervene while you still have a chance to save the subscriber.
Get alerts about at-risk subscribers a full month before they're likely to cancel.
See which factors are driving risk for each subscriber so you can address the root cause.
Trigger retention offers, outreach, or internal alerts automatically based on risk levels.
Customers using AI churn prediction see 40% lower churn rates on average.
Set your own risk thresholds and define what actions trigger at each level.
Works seamlessly with the tools you already use.
"We were blind to churn before Chargezen. Now we see problems 30 days out and can actually do something about them. Our churn rate dropped 35% in the first quarter."
Join leading brands consolidating their RevOps stack with Chargezen. Go live in days—not quarters—with a platform your teams actually want to use.
