Failed Payment Recovery Calculator
Failed payments are the silent leak in every subscription business: expired cards and soft declines quietly cancel subscribers who never chose to leave. Enter your subscriber count, price, and failure rate to see what that leak costs per year — and what a recovery flow would win back.
A 500-subscriber store at $39/month with an 8% failure rate has $1,560 of MRR at risk every month — $18,720 a year. Dunning that recovers 60% of failures wins back $936/month. Run your own numbers below.
Nur Schätzwerte. Jahrespläne sollten auf einen Monatspreis normalisiert werden (Jahrespreis ÷ 12). RecurX berichtet diese Kennzahlen automatisch aus Ihren Live-Abo-Daten in Shopify.
How the calculator works
The math behind the outputs:
- Revenue at risk / month = MRR × failed-payment rate
- Recovered / month = revenue at risk × recovery rate
- Lost / year without recovery = revenue at risk × 12
What failure and recovery rates are realistic?
Consumer subscription programs typically see 5–12% of renewal charges fail in a given month — mostly expired or reissued cards, insufficient funds, and temporary bank declines. Without any recovery flow, most of those failures become involuntary churn. With decline-aware retries plus one-click card-update links, well-tuned dunning recovers 40–70% of failed renewals.
Why recovered revenue is the cheapest revenue
Every recovered renewal is a subscriber you already paid to acquire and already convinced to stay — no discount, no ad spend, no win-back campaign. Compare the annual loss figure above with what you spend on acquisition: for most stores, fixing payment failures out-earns their next marketing campaign.
- Retries timed to the decline code (not blind daily retries that trip bank fraud flags).
- One-click card-update links over email, SMS, and WhatsApp.
- Grace periods so one failure never instantly cancels a subscriber.
- Pre-dunning warnings before stored cards expire.
RecurX ships this entire stack as Rescue Sequences — automatic, decline-aware, multi-channel — included on every plan with zero transaction fees.
Häufig gestellte Fragen
How much revenue do failed payments cost a subscription business?
Multiply your MRR by your monthly failure rate: a $19,500 MRR store with 8% of charges failing has $1,560 at risk each month, about $18,720 a year. Without a recovery flow, most of that becomes involuntary churn.
What percentage of failed payments can be recovered?
Well-tuned dunning — decline-aware retries plus card-update requests over email, SMS, or WhatsApp — typically recovers 40–70% of failed renewal payments.
Why do subscription payments fail?
The main causes are expired or reissued cards, insufficient funds at the charge moment, temporary bank risk declines, and closed accounts. Only the last category is unrecoverable — everything else responds to smart retries or an updated card.
What is dunning?
Dunning is the automated process of recovering failed recurring payments: retrying charges on an intelligent schedule, notifying the customer, and collecting updated payment details before the subscription is cancelled.
Mehr erfahren
- DunningDunning ist der automatisierte Prozess zur Rückgewinnung fehlgeschlagener Abo-Zahlungen – abgelehnte Abbuchungen werden nach Zeitplan erneut versucht und Erinnerungs-E-Mails oder -SMS mit Links zur Kartenaktualisierung versendet, um unfreiwilligen Churn zu verhindern.
- Involuntary ChurnInvoluntary churn is the loss of subscribers who did not choose to cancel — their subscription ended because a recurring payment failed (expired card, insufficient funds, bank decline) and was never recovered.
- Recurring PaymentsA recurring payment is a charge collected automatically from a customer on a fixed schedule — weekly, monthly, or annually — using stored payment credentials, until the customer cancels or the agreement ends.
- Monatlich wiederkehrender UmsatzDer monatlich wiederkehrende Umsatz (MRR, Monthly Recurring Revenue) ist der gesamte planbare Umsatz, den ein Abo-Unternehmen in einem Monat aus allen aktiven Abonnements erzielt – normalisiert auf einen Monatswert.
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