Recover Failed Payments with Smart Dunning
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Why does this churn problem matter?
15-35% of SMB SaaS customers churn due to involuntary payment failures. Most companies send generic retry emails that get ignored.
How do we solve it?
Implement a 3-tier dunning sequence with personalized messaging, in-app alerts, and payment method updates. Use behavioral triggers based on customer value and engagement.
How do you implement it step by step?
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1
Set up payment retry logic with your payment processor (3 attempts over 7 days)
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2
Create email sequence: Day 0 (friendly reminder), Day 3 (urgent notice with easy update link), Day 6 (final notice with phone number)
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3
Add in-app banner for logged-in users with failed payments
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4
Implement SMS notifications for high-value customers (>$500 MRR)
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5
Track dunning recovery rates and iterate on messaging
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Let your coding agent build this one
Everything above, rewritten as instructions an agent can follow in your repo: the context, the build order, the acceptance criteria, and the mistakes that sink this experiment.
$ claude "read churntools-recover-failed-payments-smar-build-prompt.md and do what it says"
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Enter your email and the file downloads straight away. You'll also get The Churn Fix, one specific retention fix per issue. Unsubscribe whenever.
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Save it in your repo, then run:
What outcome should you expect?
Recover 40-60% of failed payments, reduce involuntary churn by 8-12%
How do you measure if it's working?
Track these metrics to know if the experiment is working:
- Baseline involuntary churn rate before implementation
- Payment recovery rate (target: 40-60% of failed payments)
- Reduction in involuntary churn (target: 8-12 percentage points)
- Email open rates for dunning sequence (benchmark: 35-45%)
- Conversion rate from dunning emails to successful payment
- Average time to payment recovery
What do you need before you start?
Make sure you have these before starting:
- Payment processor with retry logic capability (Stripe, Braintree, etc.)
- Email service provider with automation (Customer.io, Intercom, etc.)
- Ability to track payment failure events
- At least 50+ monthly payment failures to measure impact
- Legal approval for payment retry timing in your jurisdictions
What mistakes should you avoid?
Don't make these errors that cause experiments to fail:
- Being too aggressive with retry timing - space attempts 2-3 days apart, not daily
- Using generic "payment failed" language - specify the exact card/payment issue
- Not offering alternative payment methods in the email sequence
- Sending the same message in all emails - escalate urgency gradually
- Forgetting to pause retries if customer manually cancels
- Not testing with different card decline codes (each needs different messaging)
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Where should I send it?
Enter your email and the download starts straight away. You'll also get The Churn Fix, one specific retention fix per issue. Unsubscribe whenever.
The file has the same content as this page. No spam, and I never sell the list.
What did running this improve?
Tap what this experiment strengthened for you. It maps to the BELT durability test I rank everything on, and helps other teams see what actually works.
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I have actually run this. Let me report what it fixed
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Written by Mark Ashworth
Founder of ChurnTools. I spend my time studying how SaaS companies lose customers and building tools to help them stop. I've documented 80+ retention experiments and run the Churn Health Check diagnostic.
Retention Diagnostic
Knowing the number is not the same as knowing the cause
A calculator tells you how much is leaving. It cannot tell you which part is failed payments, which part is people who never activated, and which of the two is cheaper to fix. I work that out on your actual data and send back three fixes ranked by what each one is worth, within 10 working days.
- ✓ Voluntary and involuntary churn, split and costed
- ✓ What the leavers did in their first month
- ✓ Three fixes, ranked by dollars recovered
- ✓ Fixed price, written, no call required
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