Dunning is the automated retry-and-reminder process that recovers failed payments before an expired or declined card causes churn.
Dunning recovery rate = recovered MRR ÷ MRR that entered dunning (failed payments) × 100
In a month, £10,000 of MRR fails to charge. Your dunning sequence recovers payment on accounts worth £7,000 before the grace period ends.
£7,000 ÷ £10,000 × 100 = 70% dunning recovery rate
Dunning is the systematic follow-up that happens when a subscription payment fails — most often because a card has expired, been replaced, or hit a temporary limit. Rather than cancelling the customer immediately, a dunning process retries the charge on a schedule and emails the customer to update their card, recovering revenue that would otherwise be lost to involuntary churn.
A good dunning sequence is part timing science, part communication. Retries are spaced to catch transient failures and to land when funds are likely available — for example after a likely payday — while a series of escalating but friendly emails (and ideally in-app prompts) nudges the customer to act before the grace period ends. Smart retry logic that adapts to the decline reason recovers materially more than naive fixed-interval retries.
Dunning is among the highest-ROI retention work a SaaS can do, because the customer has not chosen to leave — they simply have a broken payment method. Recovering even a portion of failed payments drops almost entirely to the bottom line, since there is no acquisition cost to win back someone who never wanted to go. A well-tuned process typically recovers a large share of failed charges that would otherwise churn silently.
Dunning recovers revenue from customers who never intended to leave, which makes it some of the cheapest revenue a SaaS will ever earn — no acquisition cost, no win-back campaign, just a fixed payment method. For many subscription businesses, failed payments are a leading cause of churn, so a sharp dunning process directly lowers overall churn and lifts net revenue retention with no change to the product or sales.
Subscription businesses lose roughly 9% of MRR to failed payments (Baremetrics), and the 2025 industry median recovery rate sits near 47%, while top performers reach 70–85% by combining smart retries with sequenced dunning emails (Slicker/PYMNTS/Butter Payments). Involuntary churn still accounts for 20–40% of total churn.
It is the automated process of retrying failed subscription payments and chasing customers to update their card before the account is cancelled. It exists to recover revenue lost to involuntary churn.
Smart retry timing that adapts to the decline reason, retries spaced to catch transient failures, and a clear escalating sequence of emails and in-app prompts asking the customer to update their card before the grace period ends.
It comes from the 17th-century verb "to dun", meaning to persistently demand payment of a debt (origin uncertain, possibly from Middle English "dunnen", to make a din). In subscription billing it has lost the aggressive connotation and now means the polite, automated chasing of a failed card payment.
A common pattern is roughly 3 to 8 retries spread across two to four weeks, paired with about 6 to 7 reminder emails weighted toward the first fortnight, with hard cancellation held back to around day 30. Stripe's default is 8 retries within two weeks, and card networks cap attempts at 15 within any 30-day window, so spacing retries to land near likely payday matters more than sheer volume.
Smart (often AI-timed) retries recover the larger share — roughly 2 to 4 times what email-only dunning manages (which tends to cap around 30%), with the best systems reaching 70 to 85 percent by day 30, versus a ~47% industry median. Emails still earn their place by catching the genuine card-update cases that no retry can fix, so the best results come from layering both.
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