Dunning Email Open Rates: What to Expect (2026 Benchmarks)
Dunning emails dramatically outperform marketing emails with 45-55% average open rates. Here are the 2026 benchmarks by sequence position, click-through rates for card update links, and how to measure your own performance.
Dunning emails average 45-55% open rates. roughly double the 20-25% typical of marketing emails. The first dunning email performs best at 55-65%, declining to 25-35% by emails 5-7. Click-through rates on card update links average 15-25%, with the first email driving the highest engagement.

Why dunning emails outperform every other email type
Dunning emails consistently achieve open rates that would make any email marketer jealous. While the average marketing email sits at 20-25% open rates and transactional emails hover around 40-50%, dunning emails routinely hit 45-55%, and the first email in a sequence often exceeds 60%.
The reason is simple: urgency plus direct consequence. When a customer receives a [dunning email](/what-is-a-dunning-email), something they're actively paying for is about to stop working. That's fundamentally different from a newsletter or a promotional offer. There's no "I'll read this later". there's only "I need to fix this or I lose access."
This behavioral trigger is why dunning emails are the highest-performing automated email category in SaaS. They're not competing for attention in a crowded inbox. They're delivering a time-sensitive notification about a service the customer already values enough to pay for.
| Email Type | Average Open Rate | Average Click Rate |
|---|---|---|
| Marketing / Newsletter | 20-25% | 2-5% |
| Onboarding sequence | 40-50% | 10-15% |
| Transactional (receipts) | 40-50% | 8-12% |
| Dunning (payment failed) | 45-55% | 15-25% |
| Win-back / Re-engagement | 12-18% | 1-3% |
Sources: Mailchimp Email Marketing Benchmarks (2025), Postmark Transactional Email Report, SaveMRR internal dunning data, Churn Buster published benchmarks.
Open rates and click rates by sequence position
Not all dunning emails perform equally. The first email does the heavy lifting, and engagement drops with each subsequent send. Here's what 2026 benchmark data shows across SaaS companies in the $5K-$50K MRR range:
| Email # | Typical Send Timing | Open Rate | Click Rate (Card Update) | % of Total Recoveries |
|---|---|---|---|---|
| 1 | Day 1 (payment fails) | 55-65% | 20-30% | 35-40% |
| 2 | Day 3 | 50-55% | 18-22% | 20-25% |
| 3 | Day 7 | 42-48% | 14-18% | 15-18% |
| 4 | Day 10 | 35-40% | 10-14% | 8-10% |
| 5 | Day 14 | 30-35% | 8-12% | 5-7% |
| 6 | Day 18 | 25-30% | 6-9% | 2-3% |
| 7 | Day 21 (final notice) | 25-35% | 8-12% | 2-4% |
The pattern is clear: emails 1-3 drive roughly 80% of all recoveries. By email 4, you're in diminishing returns territory. The slight bump in email 7 comes from final-notice urgency. subject lines like "Last chance: your account will be cancelled tomorrow" create a deadline effect.
This is why your first dunning email matters most. If your [dunning email templates](/dunning-email-templates) aren't optimized for that first touchpoint, you're losing the biggest chunk of recoverable revenue. The first email should be clear, direct, and include a one-click card update link. No login required.
Sources: Recurly dunning performance analysis (2025), Churn Buster aggregate benchmarks, SaveMRR sequence analytics.
What drives dunning email opens (and what kills them)
Subject lines make or break dunning email performance. The data consistently shows certain patterns outperforming others:
High-performing subject line patterns (55%+ open rates):
- Subscription/product name + action needed: "Your [Product] subscription needs attention"
- Specific problem statement: "Your payment for [Product] didn't go through"
- Friendly urgency: "Quick fix needed; your [Product] access"
Underperforming subject line patterns (below 40% open rates):
- Generic payment language: "Payment failed" or "Billing issue"
- Overly aggressive: "URGENT: Your account will be suspended"
- Vague: "Action required on your account"
Beyond subject lines, three factors significantly impact dunning open rates:
- Sender name recognition. Emails from your product name (e.g., "SaveMRR") outperform generic senders like "billing@" by 12-18%. Customers open emails from brands they recognize.
- Send timing. Dunning emails sent within 1 hour of payment failure get 8-12% higher open rates than those sent 24+ hours later. The customer may have just seen a declined notification from their bank; your email arrives in context.
- Domain reputation. If your domain is young or you've sent promotional campaigns from the same domain, your [dunning](/what-is-dunning) emails may land in Promotions or spam. Dedicated transactional email infrastructure (Resend, Postmark, or similar) keeps dunning emails in the primary inbox. For more on structuring [failed payment email templates](/failed-payment-email-templates), start with deliverability fundamentals. Compare the [best payment failure email tools](/best-payment-failure-email-tool) for options that handle deliverability for you.
How to benchmark your own dunning performance
Knowing the industry averages is useful. Knowing where your dunning emails stand relative to those averages is what drives action. Here's how to measure and evaluate:
Step 1: Pull your baseline numbers. Check your email provider's analytics for your dunning sequence. You need open rate, click rate, and recovery rate per email in the sequence. If you're using SaveMRR, the [Revenue Scan](https://app.savemrr.co) dashboard breaks this down automatically.
Step 2: Compare against the benchmarks.
| Metric | Below Average | Average | Above Average |
|---|---|---|---|
| Overall dunning open rate | Below 40% | 45-55% | Above 55% |
| First email open rate | Below 50% | 55-65% | Above 65% |
| Card update click rate | Below 12% | 15-25% | Above 25% |
| Overall recovery rate | Below 40% | 45-55% | Above 60% |
Step 3: Identify the weakest link. If open rates are low but click rates are healthy, your subject lines need work. If open rates are strong but click rates lag, your email copy or card update CTA isn't compelling enough. If both are decent but recovery rate is low, customers are opening and clicking but abandoning the card update flow. check for UX friction in your payment update page.
Step 4: Test and iterate. A/B test one variable at a time, starting with your first email's subject line (highest impact). Even a 5% improvement in first-email open rate can translate to 2-3% more monthly recoveries, which compounds significantly at scale.
If you're running Stripe and want to understand [how to set up dunning in Stripe](/how-to-set-up-dunning-in-stripe), start there before layering on dedicated tools.
When to stop sending: the 7-email sweet spot
More emails don't always mean more recoveries. The data shows a clear inflection point around email 5-7 where additional sends produce negligible returns and start creating risk:
- Emails 1-3 (Days 1-7): 70-80% of total recoveries happen here. Non-negotiable. every dunning sequence needs at least 3 emails.
- Emails 4-5 (Days 10-14): Another 10-15% of recoveries. Worth sending for the incremental lift.
- Emails 6-7 (Days 18-21): 4-7% of recoveries. The final-notice email (email 7) often sees a small open-rate bump due to cancellation urgency.
- Emails 8+ (Day 21+): Open rates drop below 20%, click rates below 5%, and spam complaint rates start climbing. The customer has either moved on or is deliberately ignoring you.
The optimal dunning sequence for most SaaS companies is 5-7 emails over 14-21 days. For a deeper breakdown of timing and sequence length, see our guide on [how long a dunning sequence should be](/how-long-should-a-dunning-sequence-be).
After your final dunning email, the best practice is a single "we've cancelled your subscription" confirmation; not another plea to update payment. This preserves the relationship for potential win-back campaigns later and maintains your sender reputation.
The short version: dunning emails are the highest-ROI automated email in SaaS, with open rates that dwarf every other category. Optimize your first three emails relentlessly. that's where 80% of the money is recovered. Track your open rates against the benchmarks above, and if you're below average, fix subject lines and send timing before touching anything else. Use the [dunning ROI calculator](/dunning-roi-calculator) to quantify the value of improving these numbers, and check the [failed payment recovery calculator](/failed-payment-recovery-calculator) to see how higher open rates translate to recovered [MRR](/what-is-mrr). Compare the [SaveMRR vs Churn Buster](/savemrr-vs-churn-buster) and [best dunning software for Stripe](/best-dunning-software-stripe) guides if you're evaluating tools to automate your sequences.
Sources: Recurly State of Subscriptions (2025), Stripe dunning documentation, Churn Buster aggregate data, Postmark delivery benchmarks, SaveMRR internal analytics.
Frequently asked questions
What is a good open rate for dunning emails?
A good dunning email open rate is 45-55%. The first email in a sequence should hit 55-65%. If your overall dunning open rate is below 40%, your subject lines or sender reputation likely need work.
Why do dunning emails have higher open rates than marketing emails?
Dunning emails carry urgency and direct service impact. Recipients know their subscription is at risk, which creates immediate motivation to open. Marketing emails compete for attention. dunning emails demand it.
What click-through rate should I expect on card update links?
Card update link click-through rates average 15-25% across a full dunning sequence. The first email typically sees 20-30% CTR, dropping to 8-12% by the later emails. A direct, one-click card update link significantly outperforms links that require login first.
How many dunning emails should I send before stopping?
Most SaaS companies see optimal results with 5-7 emails over 14-21 days. Emails 1-3 do roughly 80% of the recovery work. Beyond 7 emails, open rates drop below 20% and the risk of spam complaints rises. See our guide on how long a dunning sequence should be for detailed timing.
Should I A/B test dunning email subject lines?
Yes, but prioritize the first email since it drives the most recoveries. Test urgency-based vs. helpful subject lines. Data shows subject lines referencing the specific service or subscription name outperform generic 'payment failed' subjects by 10-15% in open rates.
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