Most SaaS teams track churn rate. Almost none track how much of it was recoverable.
Payment failures are costing you a specific dollar amount this month. This calculates it — and shows how much of it you can actually get back.
Most SaaS founders know they have failed payments. Few know the actual dollar amount. Enter your MRR and churn rate — this calculator splits your total revenue loss into involuntary churn (billing failures) and voluntary churn, then shows how much is recoverable. Takes 30 seconds.
5–12%
typical payment failure rate across SaaS billing cycles
20–40%
of total SaaS churn comes from failed payments, not cancellations
$0
to use this calculator — no email, no account required
Calculator
Payment processor
Stripe: ~30% of subscription churn is billing failures, not cancellations. Smart retry + dunning recovers ~60% of those.
Annual churn breakdown
Annual churn
$48k
8% of ARR
From failed payments
$14k
~30% is involuntary
Permanently lost
$6k
without recovery
Recoverable
$9k
per year at up to 60%
Annual churn breakdown by processor
at your $50k MRR / 8% churn — selected processor highlighted
Involuntary churn benchmarks are per-processor averages. Connect your account to measure your actual split.
Connects to Stripe in under 5 minutes. Starts recovering the same day.
How it's calculated
How it's calculated
Monthly MRR at risk = MRR × payment failure rate. If you have $100,000 MRR and an 8% failure rate, $8,000 of MRR is at risk each month before any recovery is applied.
Annual revenue loss = monthly at risk × 12, adjusted for the portion that is involuntary churn. If 30% of your 5% total monthly churn is from billing failures (not cancellations), that slice compounds into a significant annual figure.
Recoverable MRR = involuntary churn amount × recovery rate. Stripe's native Smart Retries recover roughly 20–30%. A dedicated dunning system with code-specific retry timing and email sequences typically recovers 50–70%.
Processor comparison shows how Stripe, Braintree, and PayPal differ in native recovery rates. All processors benefit from third-party dunning layered on top — the calculator shows both baseline and optimised scenarios.
Failed payments, explained
Failed payments, explained
A failed payment is a single declined charge — a card got declined at renewal, the bank flagged the transaction, the funds weren't there that day. It's an event, and on its own it doesn't end the subscription.
Churn is what happens after enough failed payments go unresolved — Stripe (or your processor) gives up retrying and the subscription cancels. The customer never clicked "cancel." They just stopped being billed successfully. That's involuntary churn, and it's a different problem from someone deciding your product isn't worth the money.
The distinction matters because the fixes are different. Voluntary churn needs better product, support, or pricing. Involuntary churn needs better retry timing, dunning emails, and card-update flows — none of which touch the product at all.
Start with your monthly recurring revenue and your annual churn rate — multiply them to get total annual churned revenue. Then apply the involuntary share: industry data puts that at roughly 26–42% depending on processor and region (e-mandate markets like India run higher).
Worked example: $80,000 MRR, 9% annual churn → $86,400 churns over the year. If 30% of that is involuntary, $25,920 is failed-payment revenue, not customers walking away. That's the number this calculator surfaces — plug in your own MRR and churn rate above to see yours.
The figure usually surprises people who've only ever looked at churn as a single blended rate. Splitting it open is the first step to deciding where to spend effort.
Smaller subscription businesses tend to run higher failure rates — more consumer and prosumer cards, which expire and decline more often than corporate cards on file at larger accounts.
These are charge-level failure rates, not churn rates — most failed charges retry successfully within a few days. The portion that doesn't recover is what becomes involuntary churn.
Not all of it — some declines are hard stops (closed accounts, fraud blocks, expired cards with no replacement on file). But a meaningful share is recoverable with the right retry timing and follow-up:
Native processor retries (Stripe Smart Retries, Braintree, PayPal) typically recover 20–30% of failed charges with generic, fixed-interval retry schedules. Layer in failure-code-specific retry timing, a multi-step dunning sequence, and proactive card-update prompts, and recovery climbs to 50–70% — the band most Recurflux customers land in.
The gap between 25% and 65% recovery on, say, $25,000 of annual involuntary churn is roughly $10,000 — money that requires zero new customers, zero new sales spend, and zero product changes to capture.
Related free tools
Payment Recovery ROI Calculator
See the ROI of improving your payment recovery rate
Churn Splitter
Separate involuntary from voluntary churn in your metrics
Recovery Window Calculator
Find the optimal retry schedule for each failure code
NRR Calculator
See how payment recovery directly improves net revenue retention
Common questions
Common questions
Industry data shows 20–40% of total SaaS churn is involuntary — caused by failed payments, expired cards, or billing errors, not by customers choosing to leave. This portion is largely preventable with automated dunning.
Involuntary churn occurs when a subscription ends due to a failed payment, not because the customer chose to cancel. Voluntary churn is when a customer actively cancels. They require completely different solutions: billing recovery vs product retention.
Multiply your MRR by your payment failure rate (typically 5–8%) to get monthly revenue at risk. Then multiply by the share that goes unrecovered. A $200k MRR business at 7% failure rate with 30% recovery loses roughly $9,800 per month — $117,600 per year — to billing failures. Stripe's native Smart Retries recover 20–30%. Braintree and PayPal run 15–25%. Third-party dunning tools push recovery to 50–70%.
For a $200,000 MRR SaaS with 5% monthly churn, roughly $1.2M ARR churns annually. If 30% is involuntary ($360k), and 50% of that is recoverable, that is $180,000 per year that could be saved without acquiring a single new customer.
The four most effective approaches: failure-code-specific retry timing (not a blanket schedule), dunning email sequences starting within 24 hours of decline, in-app payment update prompts, and proactive card expiry outreach 30–60 days before renewal. Companies that combine all four move from 25–30% recovery to 60–70%, turning a recurring revenue leak into a solved problem.
That number grows every month you wait.
Failed payments from the last 30–60 days often still have an open recovery window. Every billing cycle without a system, more of that figure ages out permanently. Founder plan from $20/month.