50 dunning and failed payment recovery statistics that reveal the true cost of payment failures

Critical market data and benchmarks showing why automated collections and intelligent retry strategies matter for subscription and usage-based billing success

Dataintelo estimates the failed payment recovery market reached $7.2 billion in 2024, while Slicker cites a 47.6% industry median recovery rate and attributes the figure to Recurly. Failed payments are a material source of addressable revenue leakage in SaaS. For companies running usage-based or hybrid billing models, Orb's Collections Automations centralize payment retries, reminders, customer emails, and webhooks in configurable workflows.

Key takeaways

• Failed payments create massive revenue risk: Recurly projected that failed payments could cost subscription businesses more than $129 billion in 2025
• Slicker cites a 47.6% industry median rate: Slicker attributes this benchmark to Recurly, and the figure highlights substantial room to improve failed-payment recovery
• Optimized retries can materially improve recovery: Recurly reports 10-20 percentage-point gains over baseline retry performance, while Slicker reports 70-85% recovery on soft declines for AI-powered smart retry systems
• Timing is critical: 90% of recovered transactions occur within the first 10 days of payment failure
• Payment failures can interrupt transaction completion: In Stitch research covering 3,000 South African consumers, 62% of those shoppers who encountered a payment failure did not return to complete the transaction
• Dataintelo projects continued market growth: Dataintelo projects the failed payment recovery market to reach $21.1 billion by 2033

Understanding the impact of failed payments on subscription revenue

Failed payments are a significant and addressable source of recurring-revenue risk. Understanding the scope of this problem is the first step toward building effective recovery systems.

Market size and growth projections

1. Failed payment recovery market reached $7.2 billion in 2024

Dataintelo estimates the global failed payment recovery market reached $7.2 billion in 2024, reflecting the scale of the market category.

2. Market projected to reach $21.1 billion by 2033

Dataintelo projects the failed payment recovery market to hit $21.1 billion by 2033, representing a near tripling of its estimated 2024 market size.

3. Industry growing at 12.8% CAGR

Dataintelo projects the failed payment recovery market to expand at a CAGR of 12.8% from 2025 to 2033.

4. Business Research Company values market at $6.16 billion in 2025

The Business Research Company separately estimates the global failed payment recovery market at $6.16 billion in 2025, with projections to reach $11.15 billion by 2030.

The true cost of revenue leakage

5. Recurly projected failed payments could cost more than $129 billion in 2025

Recurly projected that failed payments could cost subscription businesses more than $129 billion in 2025. The figure was published as a projection, not as a measured realized loss.

6. Involuntary churn accounts for 20-40% of total churn

Across subscription businesses, involuntary churn represents 20-40% of total customer churn, making it a meaningful target for retention efforts.

7. Failed payments account for up to 70% of involuntary churn

Slicker reports that failed payments account for up to 70% of involuntary churn, making failed-payment recovery a material retention lever.

8. Subscription businesses lose around 9% of MRR to failed payments

Baremetrics reports that subscription businesses lose an average of 9% of monthly recurring revenue to failed payments. For a company with $1M MRR, that translates to $90,000 in monthly leakage.

9. Investigating one failed payment can cost up to $97

Crafting Software reports that, in some operational models, investigating one failed payment can cost up to $97 per item.

10. Declined card payments account for 50% of customer churn

PYMNTS reported that declined card payments account for 50% of customer churn, based on market research into failed subscription payments and involuntary churn.

What is dunning and why is it essential for subscription management?

Dunning refers to the systematic process of communicating with customers about failed payments and attempting to recover those transactions through retry logic, notifications, and payment method updates. Effective dunning management combines automated retries with strategic customer communication.

Dunning software market growth

11. Dunning management software market reached $1.35 billion in 2024

Dataintelo estimates the global dunning management software market reached $1.35 billion in 2024.

12. Market projected to reach $4.03 billion by 2033

Dataintelo projects the dunning management software market to reach $4.03 billion by 2033, growing at a 13.8% CAGR.

13. Cloud-based deployment accounted for more than 62% of market revenue in 2024

Cloud-based deployment accounted for more than 62% of dunning management software market revenue in 2024, with Dataintelo projecting 15.2% CAGR through 2033.

Regional market distribution

14. North America accounted for more than 38% of global market revenue in 2024

Dataintelo estimates North America captured approximately $2.74 billion of the failed payment recovery market in 2024, representing more than 38% of global revenue.

15. Europe generated $1.98 billion in 2024

Dataintelo estimates Europe generated around $1.98 billion in failed payment recovery market revenue in 2024.

16. Asia Pacific growing at 15.2% CAGR

Dataintelo identifies Asia Pacific as the fastest-growing region, with a projected CAGR of 15.2% through 2033.

Key dunning statistics: recovery rates and best practices

Reported recovery figures vary by source, failure type, and methodology. The figures below preserve the scope and attribution of the cited sources rather than treating them as universal industry benchmarks.

Reported recovery benchmarks

17. Slicker cites a 47.6% industry median recovery rate

Slicker cites a 47.6% industry median recovery rate and attributes the figure to Recurly.

18. Slicker reports 70-85% recovery on soft declines

Slicker reports that AI-powered smart retry systems can achieve 70-85% recovery on soft declines.

19. Recurly reports 10-20 percentage-point gains from optimized recovery

Recurly reports that a well-optimized recovery program can improve failed-payment recovery by 10-20 percentage points over baseline retry performance.

20. One Recurly analysis improved recovery from 53% to 71%

In one Recurly enterprise analysis, optimized retry strategies increased recovery from 53% to 71%.

21. Slicker cites Recurly for up to 25% recovery lift from smart dunning

Slicker cites Recurly for the claim that smart dunning systems can lift recovery rates by up to 25% compared with static retry rules.

Timing and recovery operations

22. 90% of recoveries occur within first 10 days

90% of recovered transactions occur within the first 10 days of a failed payment, making rapid response essential.

23. Slicker cites Recurly for up to 20% more invoices recovered with card updaters

Slicker cites Recurly for the claim that automatic card-updater services can recover up to 20% more invoices before a retry is needed.

24. A 2023 report found 94% of ecommerce firms outsourced some or all payment recovery

A 2023 PYMNTS Intelligence report published in collaboration with Nuvei found that 94% of ecommerce firms outsourced some or all failed-payment recovery solutions.

Dunning email performance

Baremetrics reports the following post-failure email-performance figures from its analysis of more than 1 million dunning emails sent by customers using Recover. Its pre-dunning comparison comes from a separate analysis of almost 300,000 pre-dunning emails.

25. First dunning email achieves 41.29% open rate

The first dunning email on day zero achieves a 41.29% open rate, 11.21% click rate, and 13.25% recovery rate.

26. Day 3 email achieves 34.1% open rate

Dunning emails sent at three days achieve a 34.1% open rate, 7.64% click rate, and 11.46% recovery rate.

27. Day 7 email achieves 32.7% open rate

By day seven, dunning emails achieve a 32.7% open rate, 6.72% click rate, and 11.51% recovery rate.

28. Pre-dunning emails outperform some post-failure emails

Pre-dunning emails sent 30 days before card expiration show higher success rates than some post-failure dunning emails.

29. Baremetrics cites research showing named senders can increase open rates by up to 35%

Baremetrics cites broader email-marketing research indicating that using a person's name instead of a company name can increase open rates by up to 35%.

Tackling declined credit cards: common reasons and solutions

Understanding why payments fail is essential for building effective recovery strategies. Different failure types require different approaches.

Payment failure rates by scenario

30. 5-18% of recurring card payments fail

Revaly cites industry data indicating that 5-18% of recurring card payments fail, with an average around 13%.

31. Some sectors see decline rates as high as 30%

Slicker reports that some sectors experience decline rates as high as 30%, indicating substantial variation by sector.

32. Up to 12% of card-on-file transactions fail

Slicker reports that up to 12% of card-on-file transactions fail due to expirations, insufficient funds, or network issues.

33. A PYMNTS Intelligence and Nuvei study reported an 11% ecommerce transaction failure rate

A PYMNTS Intelligence and Nuvei study reported that 11% of ecommerce transactions in the prior year failed.

34. Up to 30% of online payments fail

Slicker cites Solidgate for the claim that up to 30% of online payments fail due to card declines, fraud checks, and inefficient processing routes.

Recovery rates by payment method

35. Credit cards: 45-55% recovery rate

Slicker reports 45-55% recovery rates for credit cards.

36. Debit cards: 35-45% recovery rate

Slicker reports 35-45% recovery rates for debit cards.

37. ACH and bank transfers: 25-35% recovery rate

Slicker reports 25-35% recovery rates for ACH and bank transfers.

38. Digital wallets: 50-60% recovery rate

Slicker reports 50-60% recovery rates for digital wallets.

Recovery rates by failure reason

39. Insufficient funds: 60-70% recovery potential

Slicker reports 60-70% recovery potential for insufficient-funds failures.

40. Expired cards: 80-90% recovery potential

Slicker reports 80-90% recovery potential for expired-card failures.

41. Network errors: 85-95% recovery potential

Slicker reports 85-95% recovery potential for network-error failures.

42. Fraud blocks: 20-30% recovery potential

Slicker reports 20-30% recovery potential for fraud-blocked transactions.

Improving customer retention by minimizing churn from failed payments

Failed payments do not just cost immediate revenue. They can damage customer relationships and create negative brand experiences that compound over time.

Customer behavior after payment failures

43. 62% of surveyed South African shoppers did not return to complete the transaction after a payment failure

In Stitch research covering 3,000 South African consumers, 62% of shoppers who encountered a payment failure did not return to complete the transaction.

44. 35% of cardholders are likely to abandon a merchant after a decline

Checkout.com cites PYMNTS research indicating that 35% of cardholders are likely to abandon a merchant after experiencing a decline.

45. 41% will never return after a false decline

Revaly reports, citing ClearSale research, that 41% of customers will never return after a false decline.

46. 32% share frustration on social media

Revaly reports, citing the same research, that 32% of customers share their frustration on social media after a false decline.

47. 33% of customers do not try again

Crafting Software reports that 33% of customers will not try again after a payment fails.

48. 60% of organizations have lost customers to failed payments

Crafting Software cites LexisNexis research indicating that 60% of organizations have lost customers due to failed payments, showing that the issue is widespread.

Industry churn benchmarks

Slicker cites the following total monthly churn ranges across subscription verticals. These figures refer to total churn, not failed-payment or involuntary churn specifically:

• SaaS: 4-6% monthly churn
• E-commerce subscription boxes: 10-15% monthly churn
• Media and entertainment: 5-8% monthly churn
• Health and fitness: 7-10% monthly churn
• Education and e-learning: 8-12% monthly churn

Orb's Spend Controls can alert customers as they approach spend thresholds or require top-ups, while its Experience Kit provides usage and pricing experiences that help customers understand and anticipate spend. These capabilities can help customers anticipate costs and avoid surprise bills.

The role of advanced billing software in enhancing payment success rates

Modern billing infrastructure shapes how teams execute payment recovery. Configurable collections workflows let teams tailor retries, reminders, and communications by invoice criteria rather than applying one static schedule.

Cost of failed payments

49. An illustrative iPiD scenario assumes a $200 resolution cost per failure

In an illustrative cross-border-payment scenario, iPiD assumes a $200 resolution cost per failure.

50. Each rejected or repaired payment costs $12.10 on average

Ottu cites LexisNexis for the estimate that each rejected or repaired payment costs businesses around $12.10 on average.

Orb's Finance Workflows support customizable dunning rules, payment retries, and customer emails for overdue or failed payments.

Optimizing dunning workflows with integrations and automation

Effective dunning depends on coordination between billing systems, payment processors, and customer communication tools. Configurable workflows can centralize these steps and make collections execution more consistent.

The case for automation

Orb's Collections Automations, available to Orb customers on the Enterprise Plan, provide:

• Configurable collections schedules and rules based on plan, payment method, customer attributes, and other invoice criteria
• Automated collections steps that can combine payment retries, customer emails, and webhooks
• Collections webhooks that route workflow events into downstream systems
• Invoice-level automation timeline showing the applied schedule, completed steps, and upcoming actions

Orb's Stripe integration can sync invoices to Stripe Invoicing or use Stripe as a payment gateway.

Separately, Orb's Spend Controls can alert customers as they approach spend thresholds or require top-ups. Orb's billing engine supports usage-based and hybrid models, while its Experience Kit identifies surprise invoices and unpredictable costs as risks of usage-based monetization. Configurable collections workflows can help manage collections around those invoices.

Frequently asked questions

What is the average success rate for dunning processes?

Slicker cites a 47.6% industry median recovery rate, attributing that benchmark to Recurly. It separately reports that AI-powered smart retries can recover 70-85% of soft declines, so the higher range should not be generalized to all failed payments.

How do usage-based billing models affect payment recovery strategies?

Orb's Experience Kit identifies surprise invoices and unpredictable costs as risks of usage-based monetization. Billing and collections strategies can include threshold billing that triggers an invoice when a customer reaches a set dollar threshold, spend alerts, and usage dashboards that help customers anticipate costs.

What are the most common reasons for credit card declines and how can they be prevented?

Common decline categories include insufficient funds, expired cards, network errors, and fraud blocks. Slicker reports recovery-potential ranges of 60-70% for insufficient funds, 80-90% for expired cards, 85-95% for network errors, and 20-30% for fraud blocks. Prevention and recovery tactics include pre-dunning emails before card expiration, automatic card updater services, and tailoring retry behavior to decline type.

Can automated dunning truly replace manual follow-ups for failed payments?

Automated dunning can handle repeatable failed-payment workflows at scale. Slicker cites Recurly for the claim that smart dunning can lift recovery by up to 25% compared with static rules, and Recurly reports that 90% of recovered transactions occur within the first 10 days. Teams can reserve personalized outreach for strategic accounts or exceptional cases while automation handles repeatable collections steps.

How does robust billing infrastructure contribute to better payment recovery?

Modern billing infrastructure can support recovery through retry scheduling, payment-status webhooks, configurable dunning workflows, and persistent workflow history. Orb's Collections Automations combines configurable schedules, payment retries, customer emails, webhooks, invoice targeting, and invoice-level automation history in one workflow system.