Average Open and Click Rates in 2026: What the Benchmarks Actually Mean
Every benchmark report gives you different numbers. MailerLite says 43%. ActiveCampaign says 39%. Mailchimp says 35%. They're all "right" - and none of them tell you what's actually happening with your average open and click rates.
The channel still returns $36-$42 per $1 spent. You just need better metrics to prove it.
2026 Quick-Answer Benchmarks
Open rate: 39-43% - CTR: 1.7-2.6% - CTOR: 5.1-6.8% (cross-industry range)
But your open rate is inflated. Apple MPP adds 15-20 phantom points. Focus on CTR and CTOR instead.
2026 Email Benchmarks
Benchmark reports disagree because of what they include (campaigns only vs. transactional + automated), how they handle Apple MPP opens, and the composition of their customer base. You need to understand those differences before comparing your own numbers against any published figure.
| Source | Open Rate | CTR | CTOR | Dataset |
|---|---|---|---|---|
| MailerLite | 43.46% | 2.09% | 6.81% | 3.6M campaigns, Dec '24-Nov '25 |
| ActiveCampaign | 39.26% | 6.21%* | - | Jan 1-Dec 10, 2025 sends |
| Klaviyo | 31% (campaigns) | 1.69% (campaigns) | - | 183,000+ customers |
| Mailchimp | 35.63% | 2.62% | - | Cross-industry ("All Users") |
*ActiveCampaign's 6.21% click rate includes multiple email types (not just one-off marketing campaigns), which pulls the average up compared to campaign-only benchmarks like Klaviyo's.
Year-over-year, MailerLite's data shows open rates climbed from 42.35% to 43.46% and CTR from 2.0% to 2.09%. Modest gains - and they likely reflect MPP inflation more than genuine engagement growth.
Newsletter-specific data skews even higher. GlueLetter's Q2 2025 study of 11,800+ campaigns found a median newsletter open rate of 48.8%, with 62% marking "great" and 69%+ marking "super." Those percentiles give you a more useful yardstick than a single average, but they also show just how much MPP inflates the picture.
Don't compare your numbers to a single benchmark. Triangulate across sources and match the methodology to your email mix.
Rates by Industry
Industry matters more than most marketers realize. A roughly 26-point spread between verticals makes cross-industry averages nearly useless, so knowing the benchmarks for your specific sector is the only way to set realistic goals.
| Industry | Open Rate | CTR | CTOR |
|---|---|---|---|
| Religion | 55.71% | - | - |
| Non-profit | 42.68%-52.38% | - | - |
| Media/Publishing | 43.16% | 7.32% | - |
| Healthcare | 41.48% | - | - |
| Software/SaaS | 36.20% | 6.67% | - |
| E-commerce/Retail | 32.67%-35.66% | 5.07% | - |
| Travel/Hospitality | 30.10%-40.87% | - | - |
B2B programs typically land between 36.7%-42.35% reported opens, a tighter band than B2C's wild range. Religion and non-profit audiences are inherently high-engagement because those subscribers opted in out of conviction, not for a discount code. E-commerce sits at the bottom because those lists are bloated with one-time buyers who grabbed a 10%-off coupon and never came back. If you're running a SaaS newsletter and comparing yourself to a church's email list, you're going to feel bad for no reason.

Industry benchmarks don't matter if your emails never reach the inbox. 84.3% of "delivered" emails actually land there - and invalid addresses, spam traps, and honeypots widen that gap. Prospeo's 5-step verification catches all three across 143M+ verified emails at 98% accuracy, starting at $0.01 per email.
Fix the data before you A/B test the subject line.
Your Metrics Are Lying
Apple Mail Privacy Protection accounts for roughly 49% of tracked email opens. It pre-loads tracking pixels whether or not the recipient reads your email, inflating reported open rates by 15-20 points. A campaign with a true 28% open rate can show 52% in your dashboard.
We've seen teams panic when switching to an ESP that filters MPP - their open rate "drops" 15 points overnight. That's a measurement correction, not a performance collapse.
ESPs handle it differently. Constant Contact splits "confirmed opens" from "proxy opens," dropping displayed rates to 15-25%. Brevo changed reporting in February 2025 to include MPP opens by default with a toggle to exclude. beehiiv filters Apple MPP behavior in reporting. Campaign Monitor still doesn't filter at all.
Clicks aren't safe either. Security-scanning bots - sometimes called "dark clicks" - peaked at 3+ million per day in early 2025 as corporate email gateways pre-clicked links to check for malware. Major ESPs began automatically filtering known bot clicks in December 2025, but if your platform hasn't caught up, your CTR is inflated too.
Here's the thing: CTR and CTOR are your real engagement metrics now, but only after confirming your ESP filters bot activity. Open rate is directional at best - use email performance metrics that reflect real engagement.
Campaigns vs. Automated Flows
Campaigns account for 94.7% of send volume but only 41% of email revenue. Let's sit with that for a second.
Automated flows generate a 5.58% click rate vs. 1.69% for campaigns - 3.3x higher - with 18x more revenue per recipient. A single well-built welcome sequence will outperform months of weekly newsletters. If you're pouring most of your effort into broadcasts and wondering why your average open and click rates feel stagnant, this is probably why. One good abandoned-cart flow or onboarding drip, properly segmented, does more work than your entire editorial calendar.
How to Actually Improve
Segment by engagement recency. Segmented campaigns deliver up to 30% more opens and 50% more clicks vs. batch-and-blast. This is the fastest path to healthy engagement metrics, and it costs nothing but a few minutes of B2B email segmentation.
Build automated sequences first. Welcome flows generate 4x more opens and 10x more clicks than standard campaigns. If you haven't built one yet, stop reading and go do that.
Use send-time optimization. A free 5-10% open rate lift with zero creative effort. Most ESPs offer this natively - turn it on. (If you want a data-backed starting point, see the best time to send email benchmarks.)
Keep bounce rates under 2%. High bounces tank sender reputation, which tanks inbox placement. In our experience, the single highest-ROI fix is cleaning your list before anything else. If you need a tool shortlist, start with a bulk email address list cleaner. And here's a number that surprises people: a 98.16% delivery rate doesn't mean 98% inbox placement. Industry data shows only 84.3% of "delivered" emails actually hit the inbox. The gap between "delivered" and "inboxed" is where your engagement metrics quietly die. Prospeo's 5-step email verification catches invalid addresses, spam traps, and honeypots before they reach your ESP - 98% accuracy across 143M+ verified emails, with 75 free verifications per month to audit a segment before your next send.
Skip the subject line A/B tests until your list is clean. We've watched teams obsess over emoji vs. no-emoji while sending to 12% invalid addresses. Fix the foundation first. If you do test later, use a proper email subject line testing framework.

Your CTR and CTOR are the only metrics that matter now - but they collapse when you're sending to dead addresses. Teams using Prospeo-verified lists cut bounce rates from 35%+ to under 4%, which directly lifts inbox placement and every engagement metric downstream.
Stop optimizing campaigns built on broken lists.
FAQ
What's a good open rate in 2026?
Reported medians land around 43-49%, but Apple MPP inflates those by 15-20 points. A "true" 25-30% open rate paired with strong click rates is healthier than 50% opens with 1% CTR. Focus on CTR and CTOR as your primary performance signals.
Are open rates still reliable?
Not as a standalone metric. MPP inflates opens, and different ESPs filter differently - the same list shows different rates depending on your platform. Treat open rate as directional; use CTR and CTOR for actual decision-making.
What's the difference between CTR and CTOR?
CTR equals clicks divided by delivered emails - it measures overall performance. CTOR equals clicks divided by opens - it isolates content quality for people who actually opened. CTOR strips out subject line performance so you can evaluate the email body on its own terms. For accurate data on either metric, you need a clean list so your denominators reflect real recipients, not dead addresses.
How do I know if my average open and click rates are good?
Compare against your own vertical using industry-specific benchmarks, not cross-industry averages. Then confirm your ESP filters Apple MPP and bot clicks. Without those corrections, the numbers on your dashboard are 15-20 points higher than reality. The r/emailmarketing community has been vocal about this - plenty of threads where people realize their "45% open rate" is really closer to 28% once MPP is stripped out.