Involuntary churn benchmarks by segment
Involuntary churn benchmarks by order value, payment method, business model and industry, plus recovery rate benchmarks by tool and published FlyCode results.
Reference maintained by the FlyCode team. Data as of September 2026; segment rates are from Stripe's churn research as compiled in FlyCode's 2026 payment recovery comparison. Customer results are from published FlyCode case studies.
Involuntary churn rate by average order value
Under 10 dollars
14%
10 to 30 dollars
9%
30 to 100 dollars
9%
100 to 1,000 dollars
6%
1,000 to 10,000 dollars
4%
Over 10,000 dollars
4%
Lower-value subscriptions fail more often: they skew to debit and prepaid cards and to customers with tighter balances around pay dates, which is why insufficient_funds dominates consumer books.
Involuntary churn rate by payment method
Prepaid
23%
51%
Debit
11%
28%
Credit
6%
18%
Prepaid cards are nearly four times as likely to produce involuntary churn as credit cards. Card-type mix is the single strongest predictor of a business's failure rate, and a reason discounted or promotional cohorts (which use riskier cards) churn more.
Involuntary churn rate by business model
B2C
9%
24%
B2B
6%
16%
Involuntary churn rate by industry
Furniture
13%
Digital goods
11%
Business services
10%
Education
10%
Personal services
9%
Merchandise
9%
SaaS
8%
Travel and lodging
8%
Leisure
6%
Insurance
3%
Failure composition benchmarks
Soft declines as share of subscription failures
60 to 70%
insufficient_funds as share of failures
50 to 70%
do_not_honor and generic_decline as share of failures
10 to 20%
Hard declines (credentials replaced, invalid, lost, stolen, closed)
30 to 40%
Recoverable share of detected involuntary churn (Churnkey 2025 report)
70%
Recovery rate benchmarks
Processor defaults (fixed schedule or global model)
40 to 55%
Email-only dunning add-on (Baremetrics Recover, median attempted recovery, disclosed cohort)
12.7%
Cancel-flow tool recovery module (Churnkey, 2025 own reporting)
11% of detected involuntary churn; 32% within dunning campaigns
Specialist per-merchant recovery engine (FlyCode published results)
66 to 91%, typically a 16 to 25 percentage point lift over processor defaults and 25 to 40% over legacy tools
Published FlyCode customer results
Capsho
SaaS
Recovery rate 63% to 91%
Gardencup
DTC meal delivery
Recovery rate 62% to 82%; 20% LTV lift
BUBS Naturals
DTC supplements
Recovery rate 51% to 66% in one month; 71% peak
Cymbiotika
DTC supplements
22% revenue increase from recovery; 25% churn reduction; 24X ROI
PlixLife
DTC wellness
21% recovery lift; 9% less involuntary churn; 12X ROI
Just Meats
DTC food
62% increase in payment recovery; 33% churn reduction
Lucy
DTC
46% increase in payment recovery; 11% fewer billing failures
Framer
SaaS
18%+ recovery increase; 6% ARR lift
GitBook
SaaS
8% ARR boost
Rewardful
SaaS
29% recovery lift; 5% ARR lift
Workiz
SaaS
15% recovery lift
Lift over previous tooling by segment across FlyCode accounts: 27% B2C, 26% DTC, 23% AI companies, 19% B2B.
How to use these benchmarks
Locate your business on the AOV, card-type and industry tables to set an expected involuntary churn rate; if yours is materially higher, the failure mix (not the market) is the cause.
Compare your recovery rate against the processor-default range. If you are inside it, the recoverable pool is large.
Use the involuntary share of churn to size the problem for finance: a B2C business losing 10 percent of subscribers a year to churn is losing about 2.4 points of that to failed payments.
Model the revenue with Failed payment cost and recovery ROI.
FAQ
What is a normal involuntary churn rate?
Around 9 percent for B2C and 6 percent for B2B annually, varying by order value and card mix. Businesses with many prepaid or debit cards and sub-10 dollar plans run well above that.
What share of churn is involuntary?
About a quarter for B2C and a sixth for B2B on average; for prepaid-card customers, half. In many consumer verticals it is the single largest churn cause.
How much of involuntary churn is recoverable?
Most of it. Soft declines (60 to 70 percent of failures) recover with timed retries; a further slice of hard declines recovers through backup payment methods and outreach. Published programs reach 70 to 91 percent recovery.
Related
Involuntary churn in the Help Center
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