Failed payment rate

Failed payment rate is the proportion of payment attempts that do not result in a successful charge. Payments fail for a variety of reasons: expired cards, insufficient funds, incorrect card details, bank declines, fraud prevention blocks, and network errors. Each failed payment is a transaction that the business expected to collect but did not.

For subscription and SaaS businesses, the impact is particularly severe because failed payments trigger involuntary churn. Unlike voluntary churn, where a customer consciously decides to cancel, involuntary churn happens without any customer intent. The customer still wants the service but their payment method fails, and if the business does not recover the payment, the subscription lapses. Industry data suggests that 20 to 40% of all churn in SaaS businesses is involuntary, making failed payments a major revenue leak.

Failed payments also create downstream costs: dunning emails consume engineering and support resources, grace periods delay revenue recognition, and customers whose payments fail repeatedly may become disengaged before the issue is resolved. The total cost of a failed payment extends well beyond the individual transaction.

Failed Payment Rate = (Failed Payment Attempts / Total Payment Attempts) x 100

For example, if a subscription business attempts 50,000 payment charges in a month and 3,500 fail, the failed payment rate is 7%. This figure should be tracked alongside the recovery rate: the percentage of initially failed payments that are successfully collected through retry attempts or updated payment methods.

Effective Failed Payment Rate = Failed Payment Rate x (1 - Recovery Rate)

If the 7% failed payment rate has a 60% recovery rate, the effective (unrecoverable) failed payment rate is 2.8%. This is the rate that flows through to involuntary churn.

The tree shows that failed payment rate feeds directly into involuntary churn, which is one of two components of churned MRR. Crucially, the net impact on MRR depends on both the failed payment rate and the recovery rate. A business with a 10% failed payment rate but an 80% recovery rate loses less MRR to involuntary churn than a business with a 5% failed payment rate and a 30% recovery rate. Both metrics must be optimised together.

Failed payment rates tend to increase during economic downturns as more customers face insufficient funds. They also spike in months when card issuers perform bulk card replacements due to data breaches. Seasonal patterns matter too: failed payments often increase in January when holiday spending depletes consumer bank balances.

1. 1

   Implement intelligent retry logic

   Do not retry failed payments immediately. Use smart retry timing based on failure reason. For insufficient funds, retry after typical payday dates (1st and 15th of the month). Most payment processors offer configurable retry schedules.

2. 2

   Use card updater services

   Visa Account Updater and Mastercard Automatic Billing Updater automatically provide updated card details when cards are reissued. This prevents failures from expired or replaced cards, which account for 20 to 30% of all payment failures.

3. 3

   Send pre-dunning notifications

   Notify customers before their card expires and prompt them to update their payment method. A simple email sent 30 days before expiry with a direct link to update their card prevents failures before they occur.

4. 4

   Offer backup payment methods

   Allow customers to add a secondary payment method that is charged automatically if the primary method fails. Direct debit as a backup to credit card significantly reduces involuntary churn.