Renewal attempt
01
Payments fail quietly
An expired card ends a subscription the customer never meant to end.
Cleeng brings payment recovery, churn intelligence, subscriber journeys and retention actions together to help you keep more customers for longer.
Subscribers at risk
0
Annual · month 11 + Roku
Caught early
0 days
before renewal
At-risk cohort, caught early
By the time a cancellation lands in a dashboard, the moment to act on it has usually passed.
Renewal attempt
01
An expired card ends a subscription the customer never meant to end.
Subscriber timeline
02
You find out at renewal, when the only lever left is a discount.
Revenue saved, by action
03
Without measurement, no one can say which save actually worked.
This is Subscriber Retention Management®: one continuous loop running on the subscriber’s full history, from billing and payments to viewing and support.
Which cohorts and subscribers are at risk, before renewal day.
What behavior, content or payment pattern precedes cancellation.
Pause offers, cancel-flow saves, win-back campaigns and payment recovery, triggered where they work.
Saved revenue reported as its own line, so retention spend is accountable.
01
Smart retries, account updater and network tokens catch failed renewals before a subscriber ever notices a problem.
Payment recovery
Plan
Premium · Monthly
Next renewal
October 12
Before you go
Pause until next season instead?
Keep your watch history and favourites. We'll resume automatically when the season starts.
A better price
Stay for 50% off the next 3 months
Subscriber retained
50% off for the next 3 months
Cancellation flow
02
Pause offers, downgrades and discounts are presented before a cancellation completes, not after.
03
Churn signals are scattered across billing, payments, viewing and customer care. Retention works when one subscriber record holds all of them. Cleeng has been modeling subscription behavior since 2018, across billions of behavioral events.
5%
Involuntary churn on optimized Cleeng configurations
10%
Involuntary churn on non-optimized configurations
+10%
Retry success rate versus industry benchmark
Up to 5%
Potential recurring-revenue gain from dunning optimization
A predictive model scores subscribers on payment behavior, engagement and lifecycle stage, surfacing at-risk cohorts before renewal day rather than after cancellation.
Pause offers, cancel-flow saves, win-back campaigns and automated payment recovery are ready to configure without custom development.
Every recovered payment and accepted save offer is tracked back to its intervention, so saved revenue is reported as its own line, not folded into general renewals.
Yes. Pause windows, discount depth and eligible cohorts for each save offer are set in a dashboard and can differ by plan or market.
Smart retries, account updater and network tokens catch and fix failed renewals automatically, recovering subscribers who never intended to leave.
See where your revenue is leaking, and what a retention layer would save.