Automated Payment Recovery System Boosts Success by 3xAutomated Payment Recovery System Boosts Success by 3x
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Failed payments are one of those “silent churn” problems: most teams either retry once, or chase customers manually.
I built an automated recovery system that treats each failure differently (expired card ≠ insufficient funds ≠ fraud/blocked):
webhook catches failure → 2) categorize reason → 3) smart retry schedule + tailored messaging → 4) track recovery + alert for manual cases
In one implementation, recovery moved from ~8–12% (manual) to ~28–35% (automated) with way less ops time. Write-up: https://dev.to/etherlabsdev/i-built-an-automated-payment-recovery-system-that-recovers-3x-more-failed-payments-epg Repo: https://github.com/Etherlabs-dev/payment_recovery_engine

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I Built an Automated Payment Recovery System That Recovers 3x More Failed Payments

How I used n8n, Supabase, and Stripe webhooks to turn a $10K/month revenue leak into a $28K/month…

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