Smart Retries

Yuno’s Smart Retries use advanced machine learning techniques to determine the best timing for retrying a declined recurring credit card payment. By analyzing a wide range of data points and transaction attributes, it increases the likelihood of payment success, ensuring a consistent revenue stream and reducing involuntary subscriber churn.

Key advantages

Yuno’s Smart Retries offer several benefits that enhance payment processes and revenue recovery:

• Data-driven decision-making: Leverages machine learning to create the most effective retry schedule.
• 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

Yuno uses a personalized approach for each unsuccessful payment, guided by continuous analysis and machine learning. This method evolves over time to identify the optimal moment for retrying a transaction.

Event	Deadline after the first attempt
First try	-
Second try	5 minutes
Third try	60 minutes
Fourth try	5 hours
Fifth try	24 hours
Sixth try	48 hours
Seventh try	96 hours

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 the retries structure to make adjustments:

Parameter	Type	Description	Example
retry_on_decline	bool	Indicates whether to retry a payment after a first decline. Defaults to false.	TRUE
amount	number	Specifies the number of retries the subscription plan will have to completion. If not set, or if higher than 6, the default is 6. Max: 6	4
strategy	string	Identifier for the retry strategy used.	custom_schedule
schedule	object	Contains attempt and delay_seconds fields	Attempt: 2, delay_seconds: 86400