Key advantages
Yuno’s Smart Retries offer several benefits that enhance payment processes and revenue recovery:- Data-driven decision-making: Uses a proven retry schedule, or machine-learning-based retry timing via the
SMARTstrategy. - Enhanced revenue retrieval: Increases the chances of successfully collecting payments.
- Decreased subscriber turnover: Minimizes disruptions and involuntary subscriber departures.
- Flexible logic: Allows customization of retry schedules to maximize success opportunities.
- Comprehensive approach: Works in conjunction with other revenue recovery strategies.
Retry schedule
By default, Yuno applies the fixed retry schedule below. Each delay is measured from the previous attempt, not cumulatively from the first attempt. You can also switch to machine-learning-based retry timing, which adapts the moment of each retry per transaction, by settingstrategy to SMART — see Machine-learning retry timing.
The last retry is attempted roughly 9.2 days after the initial failed charge.
Customization
Every business model is unique, so we allow merchants to define specific rules to enhance the flexibility of our retry schedule. When creating the subscription object, you can use theretries structure to make adjustments:
The maximum number of retries equals your environment’s configured retry schedule length: 6 in production. Sandbox is currently limited to 5 and is being aligned to match production.
strategy: DEFAULT applies the fixed schedule above. Use SMART for machine-learning-based retry timing, or CUSTOM_SCHEDULE together with the schedule array to define your own delays.Machine-learning retry timing
Setstrategy to SMART to have Yuno’s machine-learning model choose when each retry is attempted, instead of using the fixed schedule. The model weighs signals such as the decline reason, the country, the card issuer and the payment provider to pick the moment most likely to succeed.
SMART changes retry timing only. It does not change how many retries you get: amount still controls that, and the same per-environment maximum applies. Any schedule array sent alongside strategy: SMART is ignored.
Machine-learning timing is applied from the second retry onward. The first retry always uses the standard delay from the fixed schedule above.
If a timing decision is not available in time, the retry falls back to the fixed schedule above. Retries are never skipped or dropped because of this — only their timing changes.
SMART is available to all accounts.Canceling a subscription when retries run out
By default, when every retry for a billing cycle has been attempted and none succeeded, the subscription staysACTIVE and billing rolls forward to the next cycle. A subscription backed by a permanently dead card therefore keeps generating failed charges indefinitely.
Set cancel_on_exhausted_retries to true — at creation or via Update Subscription — to change that:
- Sets the subscription status to
CANCELED. - Sets
cancellation_sourcetoRETRIES_EXHAUSTED. - Stops all future scheduled billing for the subscription.
- Sends one
SUBSCRIPTION.CANCELwebhook.
stop_on_hard_decline ending the cycle early after a hard decline. In both cases cancellation_source is RETRIES_EXHAUSTED.
cancel_on_exhausted_retries defaults to false. If you omit it, subscriptions behave exactly as they do today. No existing subscription changes behavior.cancel_on_exhausted_retries can be set at creation or changed afterward with Update Subscription.This flag applies to renewal cycles. Subscriptions created with
initial_payment_validation: true already cancel themselves when their first payment fails, and that path reports cancellation_source as SYSTEM rather than RETRIES_EXHAUSTED.