Failed Payments Impact Calculator
Failed payments cost SaaS companies 9% of annual revenue on average according to Recurly data. Enter your transaction volume, failure rate, and average transaction value to calculate the revenue impact of failed payments. See how improving retry logic and dunning affects your bottom line.
Last updated: May 2026
Failed payment recovery addresses the revenue lost when subscription payments fail due to expired cards, insufficient funds, or bank declines. Monthly Revenue at Risk = Monthly Transactions × Failure Rate × Average Transaction Value. Payment failure rate typically target Below 3%.
📊 Your visitors see this on your website. SaaS founders embed this tool on their website — visitors benchmark themselves against industry data and you capture every input as a qualified lead. See plans →
↑ This is exactly what your website visitors see when you embed this tool. The only difference: their results are gated behind an email capture form, and every input is sent to your CRM.
What is Failed Payment Recovery?
Failed payment recovery addresses the revenue lost when subscription payments fail due to expired cards, insufficient funds, or bank declines. This "involuntary churn" typically accounts for 20-40% of total churn and is largely preventable with proper dunning processes. Track overall churn with the Churn Rate Calculator and monitor subscription health with the SaaS Metrics Calculator.
The Formula
Monthly Revenue at Risk = Monthly Transactions × Failure Rate × Average Transaction Value Recoverable = Revenue at Risk × Recovery Rate
Worked Example
A subscription business processes 2,000 renewals/month with a 5% failure rate and $50 average transaction. Their dunning process recovers 60%.
- Failed transactions = 2,000 × 5% = 100
- Revenue at risk = 100 × $50 = $5,000/month
- Recovered = $5,000 × 60% = $3,000
- Lost = $5,000 − $3,000 = $2,000/month ($24,000/year)
📌 Failed payments put $5,000/month at risk. Current dunning recovers $3,000, but improving recovery from 60% to 80% would save an additional $1,000/month ($12,000/year).
Why This Matters
Silent revenue leak
Unlike voluntary churn where customers actively cancel, failed payments happen silently. Without monitoring, you lose customers who actually want to stay — the easiest retention problem to solve.
Compounding loss
Each unrecovered failed payment isn't just one month's revenue — it's the remaining customer lifetime value. A $50/month customer with 18 months remaining LTV represents $900 lost, not $50.
Common Mistakes
❌ Only retrying once
A single retry recovers 30-40% of failures. A proper dunning sequence (4-6 retries over 14-21 days with customer notifications) recovers 60-80%. Each additional retry attempt recovers incrementally fewer but still meaningful amounts.
❌ Not pre-emptively updating cards
Card expiry is predictable. Send email reminders 30 days before expiry asking customers to update their payment method. This prevents 40-60% of expiry-related failures before they happen.
Industry Benchmarks
| Category | Good | Average | Poor |
|---|---|---|---|
| Payment failure rate | Below 3% | 3-7% | Above 10% |
| Dunning recovery rate | 70%+ | 50-70% | Below 40% |
Source: Recurly Subscription Benchmark Report
Benchmark data sourced from Recurly Subscription Benchmark Report.
From working with SaaS founders, the ones who embed a metrics calculator on their investor or pricing page consistently report shorter sales cycles — prospects arrive at the call already knowing their numbers.
One of the most common mistakes we see when working with clients: only retrying once. A single retry recovers 30-40% of failures. A proper dunning sequence (4-6 retries over 14-21 days with customer notifications) recovers 60-80%. Each additional retry attempt recovers incrementally fewer but still meaningful amounts.
Embed This Calculator on Your Website
Every visitor who uses your embedded calculator becomes a qualified lead. Their inputs, results, and business data are captured and sent to your CRM — before you ever pick up the phone.
Related Tools
Customer Churn Impact Calculator
Reducing monthly churn from 5% to 3% doubles the average customer lifetime and lifetime value according to ProfitWell data. Enter your MRR, customer count, and churn rate to model how churn compounds to erode revenue over time and what reducing it by 1 to 2 points would save.
SaaS Metrics Calculator
SaaS companies tracking 5 or more key metrics grow 30% faster than those tracking fewer according to ChartMogul data. Enter your revenue data to track MRR, ARR, churn rate, LTV, and CAC in one place. Benchmark your numbers against industry medians for your stage.
Customer Churn Rate Calculator
The average SaaS monthly churn rate is 5 to 7% for SMB products and 1 to 2% for enterprise according to Recurly data. Enter your starting and lost customers over any period to calculate your churn rate. See how your rate compares to industry benchmarks and model the compounding impact.