Making the case for proactive payment recovery requires data. This guide compiles the latest statistics, benchmarks, and ROI calculations for pre-dunning and payment failure prevention.
Use these numbers to build your business case or benchmark your own performance.
The Failed Payment Problem: Key Statistics
Failure Rates
| Metric |
Value |
Source |
| Average subscription payment failure rate |
5-10% |
Industry average |
| Credit card decline rate |
7-15% |
Visa/MC data |
| Soft decline rate (temporary) |
60-70% of failures |
Processor data |
| Hard decline rate (permanent) |
30-40% of failures |
Processor data |
Causes of Payment Failures
| Cause |
% of Failures |
| Expired credit card |
25-35% |
| Insufficient funds |
20-30% |
| Bank decline (fraud/security) |
15-25% |
| Card reported lost/stolen |
10-15% |
| Network/processing errors |
5-10% |
| Other |
5-10% |
Key insight: 25-35% of failures are from expired cards—completely preventable with pre-dunning.
Churn Impact
| Metric |
Value |
| % of total churn that's involuntary |
20-40% |
| Annual revenue lost to involuntary churn industry-wide |
$440+ billion |
| Average LTV lost per churned customer (SaaS) |
$1,200-2,400 |
Pre-Dunning Success Rates
Card Update Rates by Channel
| Channel |
Update Rate |
Notes |
| Email only |
70-80% |
Standard pre-dunning |
| SMS only |
75-85% |
Higher open rates |
| Email + SMS |
80-90% |
Best combined approach |
| In-app only |
50-60% |
Requires active users |
| All channels |
85-95% |
Maximum reach |
Card Update Rates by Timing
| Days Before Expiry |
Cumulative Update Rate |
| 30 days (first email) |
40-50% |
| 14 days |
60-70% |
| 7 days |
75-85% |
| 3 days (final reminder) |
80-90% |
Key insight: Starting 30 days out captures 50% of updates with the first message alone.
Pre-Dunning vs Dunning Success
| Metric |
Pre-Dunning |
Dunning |
| Success rate |
80-90% |
60-80% |
| Time to resolution |
1-7 days |
3-14 days |
| Customer experience |
Positive |
Neutral/Negative |
| Support tickets generated |
Near zero |
5-10% of failures |
See detailed comparison: Pre-Dunning vs Dunning
Dunning Recovery Benchmarks
Recovery Rates by Approach
| Dunning Approach |
Recovery Rate |
| No dunning (natural recovery) |
15-20% |
| Email only (basic) |
35-45% |
| Email only (optimized) |
45-55% |
| Email + smart retries |
50-60% |
| Email + SMS |
60-70% |
| Email + SMS + smart retries |
70-80% |
Recovery Rates by Business Type
| Business Type |
Typical Recovery Rate |
| B2B SaaS |
65-80% |
| B2C SaaS |
55-70% |
| E-commerce subscriptions |
50-65% |
| Media/Streaming |
45-60% |
| Fitness/Wellness |
40-55% |
Recovery by Dunning Sequence Day
| Day |
Cumulative Recovery |
| Day 1 |
25-35% |
| Day 3 |
40-50% |
| Day 7 |
55-65% |
| Day 10 |
65-75% |
| Day 14 |
70-80% |
Key insight: 50%+ of recovery happens in the first week. Extended sequences (14+ days) are worth it.
Combined Strategy Performance
Prevention + Recovery Results
| Strategy |
Net Failure Rate |
Net Recovery |
| No action |
7% |
20% natural |
| Dunning only |
7% → 2.1% |
70% recovered |
| Pre-dunning only |
2.5% (most prevented) |
85% prevented |
| Both combined |
< 1% |
95%+ saved |
Optimal Combined Funnel
100 expiring cards
│
▼ Pre-dunning (30-3 days before)
85 cards updated ◄────────────────────┐
│ │
▼ 15 not updated │ 85% success
│ │
▼ Payment attempted │
12 fail (3 succeed with auto-retry) │
│ │
▼ Dunning sequence │
8 recovered ◄─────────────────────────┐
│ │ 67% of failures
▼ │
4 churned (4% of original 100) │
Result: 96% success rate with combined approach.
ROI Calculations
Pre-Dunning ROI
Scenario: 1,000 subscribers, $50/month average, 5% have expiring cards monthly
| Without Pre-Dunning |
With Pre-Dunning |
| 50 expiring cards |
50 expiring cards |
| 35 failures (70% fail) |
7.5 failures (15% fail) |
| 10.5 churn (30% of failures) |
2.25 churn |
| $525/month lost |
$112/month lost |
| $6,300/year lost |
$1,350/year lost |
Annual savings: $4,950
Pre-dunning cost: ~$50-100/month
ROI: 4,000%+
Dunning ROI
Scenario: Same business, focusing on post-failure recovery
| Without Dunning |
With Dunning |
| 50 failures/month |
50 failures/month |
| 40 churn (80% loss) |
15 churn (30% loss) |
| $2,000/month lost |
$750/month lost |
| $24,000/year lost |
$9,000/year lost |
Annual savings: $15,000
Dunning cost: ~$50-150/month
ROI: 10,000%+
Combined ROI
| Strategy |
Annual Revenue Saved |
Cost |
ROI |
| Pre-dunning only |
$4,950 |
$600-1,200/year |
400%+ |
| Dunning only |
$15,000 |
$600-1,800/year |
800%+ |
| Both combined |
$19,000+ |
$1,200-2,400/year |
800%+ |
Calculate your specific ROI →
Email Performance Benchmarks
Pre-Dunning Emails
| Metric |
Benchmark |
| Open rate |
35-45% |
| Click rate |
15-25% |
| Card update rate (per email) |
20-30% |
| Unsubscribe rate |
< 0.1% |
Dunning Emails
| Metric |
Benchmark |
| Open rate |
25-35% |
| Click rate |
10-20% |
| Payment update rate (per email) |
10-15% |
| Unsubscribe rate |
< 0.5% |
Subject Line Performance
| Subject Line Type |
Open Rate |
| Generic ("Update your payment") |
20-25% |
| Helpful ("Heads up about your card") |
35-40% |
| Personal ("[Name], quick update needed") |
40-45% |
| Urgent ("Action needed before [date]") |
38-42% |
SMS Performance Benchmarks
| Metric |
Value |
| Open rate |
90-98% |
| Response rate |
30-45% |
| Click-through rate |
20-35% |
| Card update rate (per SMS) |
25-35% |
| Opt-out rate |
< 0.5% |
Key insight: SMS has 3-4x the open rate of email, but costs more. Use strategically (14 days, 3 days).
Industry Benchmarks by Vertical
B2B SaaS
| Metric |
Benchmark |
| Monthly payment failure rate |
3-5% |
| Pre-dunning success rate |
85-92% |
| Dunning recovery rate |
70-85% |
| Monthly churn rate from payment failures |
0.3-0.5% |
B2C Subscriptions
| Metric |
Benchmark |
| Monthly payment failure rate |
5-10% |
| Pre-dunning success rate |
75-85% |
| Dunning recovery rate |
55-70% |
| Monthly churn from payment failures |
0.8-1.5% |
Media & Streaming
| Metric |
Benchmark |
| Monthly payment failure rate |
6-12% |
| Pre-dunning success rate |
70-80% |
| Dunning recovery rate |
45-60% |
| Monthly churn from payment failures |
1-2% |
Card Updater Statistics
| Metric |
Value |
| % of card replacements captured |
60-80% |
| Time for update to propagate |
24-72 hours |
| Bank participation rate (US) |
85%+ |
| Bank participation rate (International) |
50-70% |
Key insight: Card updater is free but doesn't catch everything. Pre-dunning fills the gap.
Time-to-Resolution Statistics
Pre-Dunning
| Resolution Timing |
% of Updates |
| Within 24 hours of first email |
30-40% |
| Within 7 days |
60-70% |
| Within 14 days |
75-85% |
| Before expiration |
80-90% |
Dunning
| Resolution Timing |
% of Recoveries |
| Within 24 hours |
20-30% |
| Within 3 days |
35-45% |
| Within 7 days |
55-65% |
| Within 14 days |
70-80% |
Key Takeaways
- 25-35% of payment failures are from expired cards — Completely preventable
- Pre-dunning success rate: 80-90% — Much higher than dunning
- Combined approach achieves 95%+ success — Best of both worlds
- ROI is typically 400-1000%+ — One of highest-ROI investments
- Multi-channel (email + SMS) adds 20-30% lift — Worth the extra cost
- 14-day sequences outperform 7-day — Don't give up too early
Related Resources
Get These Results with Rekko
The statistics in this guide represent best-in-class performance. Rekko helps you achieve them with:
- Automatic pre-dunning — Detect and alert before failure
- Multi-channel sequences — Email + SMS for maximum reach
- Smart retries — Optimal timing for each failure type
- Real-time dashboard — Track all these metrics
Start your free trial → — Join companies achieving 95%+ payment success.
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