Smart Payment Retry Logic
Retrying a payment at the wrong time wastes attempts and can trigger fraud flags. Rezoki's ML-optimized retries know exactly when to try again.
Get StartedRezoki's smart retry engine analyzes the specific decline code, time of day, day of week, customer's payment history, and regional banking patterns to determine the optimal moment to retry a failed payment. Instead of the crude "retry every 3 days" approach, our ML model calculates per-transaction retry timing that maximizes approval probability while minimizing the risk of repeated declines that can trigger issuer blocking.
The Problem
Most payment retry systems use a fixed schedule — retry after 1 day, 3 days, 7 days. This brute-force approach ignores the reason for the decline and the optimal timing for each situation. An "insufficient funds" decline should be retried around payday, not 3 days later. A "do not honor" decline needs investigation, not blind retries. Fixed retries also risk triggering issuer-level blocking when the same charge is retried too aggressively.
How It Works
Decline Code Analysis
When a payment fails, Rezoki reads the specific decline code (e.g., insufficient funds, expired card, do not honor) and categorizes it into a recovery strategy.
Timing Optimization
The ML model considers the subscriber's timezone, local banking hours, typical payday patterns, day of week, and historical success rates for similar declines to pick the optimal retry window.
Retry Execution
The payment is retried through Stripe at the calculated optimal time. If the first retry fails, subsequent attempts are spaced with increasing intelligence based on the new decline code.
Escalation When Needed
If smart retries determine the decline is not retryable (card stolen, account closed), the system immediately escalates to email/voice outreach instead of wasting retry attempts.
Key Benefits
Higher Approval Rates
ML-optimized timing recovers 15-25% more payments than fixed-schedule retries by aligning retry attempts with when the payment is most likely to succeed.
Fewer Wasted Attempts
By not retrying unretryable declines and timing retries intelligently, you use fewer total retry attempts while recovering more revenue.
Avoid Issuer Blocking
Aggressive retries can trigger issuer-level blocking of your merchant ID. Smart retries space attempts to stay well within issuer tolerance levels.
Decline-Code-Specific Strategies
Each decline code gets a tailored approach. Insufficient funds? Retry on payday. Expired card? Don't retry — trigger email. Soft decline? Retry in 4 hours.
Real-World Use Cases
Scenario
Customer's card returns "insufficient funds" on March 28
Outcome
Smart retries detect this is likely payday-related and schedule the retry for April 1 (first of month). The retry succeeds because the customer's account has been replenished.
Scenario
A "do not honor" decline at 2 AM
Outcome
The system identifies this as a potential fraud-flag from the unusual transaction time. It retries during normal business hours the next day, when issuer fraud systems are less aggressive. The retry succeeds.
Scenario
An expired card decline
Outcome
Smart retries recognize that retrying an expired card is futile. Instead of wasting attempts, it immediately triggers an email asking the customer to update their card — saving retry quota for cases where retries can actually work.
+22%
Improvement over fixed retries
1.8
Average retries to recovery
41%
Retry success rate
Related Features
Frequently Asked Questions
How is smart retry different from Stripe's built-in retry?+
Won't too many retries get my merchant account flagged?+
Can I set custom retry rules for specific decline codes?+
How does smart retry handle different time zones?+
What happens when a retry fails?+
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