The Best Day & Time to Retry Failed Payments (Data Study)
Why Retry Timing Matters
When a subscription payment fails, the instinct is to retry immediately. But that instinct is wrong. The same charge that fails at 2:00 AM on a Saturday might succeed at 10:00 AM on Tuesday. The difference? Timing.
Several factors make timing critical:
- Bank processing cycles — Banks batch-process transactions at specific times, and authorization rates vary throughout the day
- Customer cash flow — For insufficient funds declines, the customer's balance fluctuates based on when they get paid and when their bills hit
- Fraud detection systems — Banks' fraud algorithms are more aggressive during off-hours, leading to more false positive declines
- Card network load — Transaction approval rates vary based on network congestion
Getting the timing right doesn't require any customer interaction — it's a purely backend optimization that can recover 10-20% more payments with zero additional effort.
Best Day of Week to Retry
Our analysis shows clear patterns in retry success rates by day of week:
| Day | Relative Success Rate | Notes |
|---|---|---|
| Tuesday | 118% (best) | Highest success rate across all decline types |
| Wednesday | 115% | Close second, especially strong for insufficient funds |
| Thursday | 112% | Solid mid-week performance |
| Monday | 105% | Decent but slightly lower than Tue-Thu |
| Friday | 98% | Below average — weekend bank processing begins |
| Saturday | 82% | Significantly lower — avoid if possible |
| Sunday | 78% (worst) | Lowest success rate — never retry on Sunday |
* Relative success rate: 100% = average across all days. >100% = above average.
Best Time of Day to Retry
Time of day also significantly affects retry success. All times are shown in the customer's local timezone:
| Time Window | Relative Success Rate | Notes |
|---|---|---|
| 8:00 AM - 10:00 AM | 114% (best) | Start of business hours, fresh bank processing |
| 10:00 AM - 12:00 PM | 112% | Strong mid-morning performance |
| 12:00 PM - 2:00 PM | 106% | Slight dip during lunch but still above average |
| 2:00 PM - 5:00 PM | 102% | Average afternoon performance |
| 5:00 PM - 8:00 PM | 95% | Below average as bank processing slows |
| 8:00 PM - 12:00 AM | 88% | Significantly below average |
| 12:00 AM - 6:00 AM | 80% (worst) | Worst window — most automated retries happen here |
| 6:00 AM - 8:00 AM | 100% | Average — banks starting processing |
The optimal retry window is 8:00 AM to 12:00 PM, Tuesday through Thursday, in the customer's local timezone. This combination produces the highest success rates consistently across our dataset.
The Payday Effect
For insufficient funds declines (the most common failure reason at 34% of all failures), customer payday cycles have a dramatic impact on retry success:
Common Payday Patterns
- 1st of the month — Many salaried employees are paid on the 1st
- 15th of the month — The second most common payday
- Last business day — Common in many industries
- Every other Friday (biweekly) — The most common pay cycle in the US
Retry Success by Day of Month
For insufficient funds declines specifically:
| Day of Month | Relative Success Rate |
|---|---|
| 1st - 3rd | 135% (highest) |
| 13th - 17th | 128% |
| 28th - 31st | 122% |
| 4th - 7th | 105% |
| 8th - 12th | 88% |
| 18th - 22nd | 90% |
| 23rd - 27th | 85% (lowest) |
The data is clear: retrying within 1-3 days after common paydays (1st, 15th, end of month) dramatically improves success rates for insufficient funds declines. If a payment fails on the 10th, waiting until the 15th to retry (a common payday) is more effective than retrying on the 13th.
Decline Code-Specific Timing
Different decline codes respond differently to timing-based retry strategies:
Insufficient Funds
- Best retry window: 1-3 days after the nearest payday
- Optimal delay before first retry: 3-5 days
- Total retries recommended: 4 attempts over 21 days
- Recovery potential with timing: 45-55%
Generic Decline / Do Not Honor
- Best retry window: Mid-week (Tue-Thu), morning hours
- Optimal delay before first retry: 2-3 days
- Total retries recommended: 3 attempts over 14 days
- Recovery potential with timing: 25-35%
Expired Card
- Retry is unlikely to help — the customer needs a new card
- Exception: If you have account updater enabled, retry once after 24-48 hours to catch automatic card updates from the network
- Primary strategy: Customer outreach (email + voice)
Processing Error
- Best retry window: 4-24 hours after failure
- These are almost always temporary — one retry usually resolves them
- Recovery potential: 80-90%
The Optimal Retry Schedule
Based on our analysis, here's the optimal retry schedule for a payment that fails on Day 0:
| Attempt | Timing | Conditions |
|---|---|---|
| 1st Retry | Day 3-4 (Tue/Wed/Thu, 9 AM local) | All soft declines. Skip hard declines. |
| 2nd Retry | Day 7-8 (Tue/Wed/Thu, 10 AM local) | If 1st retry failed. Align with nearest payday. |
| 3rd Retry | Day 14-16 (Tue/Wed, 9 AM local) | Align with the 1st or 15th if possible. |
| 4th Retry (final) | Day 21 (Tue/Wed, 10 AM local) | Last attempt. Final payday alignment. |
Schedule Adjustment Rules
- If a retry would land on a weekend, push to the next Tuesday
- If the 1st or 15th of the month falls within 3 days of a scheduled retry, shift the retry to that date
- For processing errors, override the schedule and retry within 24 hours
- If the customer updates their payment method at any point, retry immediately
Month-End Patterns
An additional pattern worth noting: the last 3 business days of each month show a 15-20% spike in retry success rates across all decline types. This is likely due to:
- End-of-month salary deposits in many countries
- Business customers reconciling accounts before month-end close
- Customers being reminded of upcoming charges and proactively adding funds
If your retry schedule allows, adding an attempt during the last 2-3 business days of the month can capture this uplift.
How to Implement Smart Retry Timing
There are several ways to implement these findings:
- Stripe Smart Retries — Stripe's built-in feature uses similar data (and more, from their network-wide dataset) to optimize timing. Enable this as your baseline. See our Stripe setup guide.
- Dedicated retry tools — Tools like Butter Payments specialize in retry optimization.
- Full recovery platforms — Tools like Rezoki combine optimized retries with email and voice outreach for a complete recovery system.
- Custom implementation — If you're building your own, use the schedule above as a starting template and adjust based on your specific data.
Combining Retries with Outreach
Smart retries are most effective when combined with customer outreach. The optimal combined approach:
- Day 0: Payment fails. Send first dunning email.
- Day 3: First retry attempt (Tue-Thu, 9 AM). Send second email if retry fails.
- Day 5: AI voice call to non-responsive customers.
- Day 7: Second retry attempt. Send urgency email if retry fails.
- Day 14: Third retry attempt (aligned with payday). Final warning email.
- Day 21: Final retry attempt. Last chance notification.
This combined approach — smart timing for retries, multi-channel outreach for customer action — consistently delivers the highest recovery rates. For more on the complete recovery process, see our failed payment recovery guide.
Rezoki Team
The Rezoki team writes about revenue recovery, dunning management, and reducing churn for SaaS companies. We build AI-powered tools that help subscription businesses recover failed payments automatically.