What Is a Good Email Open Rate in 2026? Real Data, Not Guesswork

The Short Answer

A good email open rate in 2026 depends on which number you trust — and that is the first thing you need to understand.

The widely cited benchmark: Mailchimp formerly published a 21.33% cross-industry average. That number predates Apple Mail Privacy Protection (MPP) and reflects what open rates looked like before roughly half of all tracking became unreliable. It is no longer on Mailchimp's benchmarks page, but it still circulates across the internet as the go-to reference.

The current platform averages: Mailchimp now reports 35.63%. GetResponse reports 42.53% across all industries (from 4.4 billion messages analyzed). MailerLite reports 43.46% (from 3.6 million campaigns across 181,000 accounts).

Why the gap between old and new? Apple MPP, introduced in 2021, pre-fetches tracking pixels for all Apple Mail users — making every email appear opened whether the subscriber read it or not. Post-MPP benchmarks run 10-20 percentage points higher than pre-MPP figures.

Here is a practical framework: if your platform reports open rates including machine opens (most do), 30-40% is average, above 40% is good, and below 25% needs investigation. If you are estimating your real human-only open rate, 17-25% is average, above 25% is good, and below 12% is a problem.

But the real answer is that open rate alone is no longer a reliable primary metric. This article breaks down what the numbers actually mean — by industry, email type, list size, and platform — so you can benchmark accurately and know when to worry.

Average Open Rates by Industry

Open rates vary dramatically by industry. The numbers below aggregate data from Mailchimp, GetResponse, and Campaign Monitor benchmark reports. Because each platform measures differently and has a different user base, treat these as ranges rather than gospel.

Government and non-profit: 28-30% (Mailchimp) to 40%+ (GetResponse). The highest-performing category across every benchmark report. Subscribers have a genuine stake in the content — policy updates, donation drives, community news.

Education: 25-28% (Mailchimp) to 35-40% (GetResponse, Constant Contact). Students, parents, and alumni engage because the content is expected and relevant.

Agriculture and food: 24-27% (Mailchimp). Niche audiences with strong interest and small, targeted lists.

Healthcare: 22-25% (Mailchimp). Regulatory content and health updates drive engagement, though HIPAA considerations limit some targeting.

Retail and e-commerce: 15-18% (Mailchimp, pre-MPP adjusted) to 30.70% average for promotional campaigns (Omnisend 2025 Ecommerce Marketing Report). The most competitive inbox category — every brand is fighting for attention.

Marketing and advertising: 16-18% (Mailchimp). Ironic, but marketers are the most likely to ignore other marketers' emails.

Media and publishing: 20-23% (Mailchimp) to 35%+ (GetResponse). Newsletters and content-driven emails perform well because the subscriber explicitly wanted the content.

Software and technology: 20-22% (Mailchimp). B2B tech emails consistently outperform B2C in this category.

For detailed data tables with click rates, bounce rates, and unsubscribe rates broken out by industry, see our full industry benchmark breakdown.

Open Rates by Email Type

This is where benchmarks get genuinely useful. The type of email you send matters far more than your industry.

Welcome emails: 83.63% open rate with 16.60% CTR (GetResponse 2024 Benchmarks). Omnisend reports that welcome emails have the second-highest conversion rate of any automated email at 2.86%. Either way, welcome emails massively outperform regular campaigns.

Abandoned cart emails: 35.75% open rate with a 39.46% click-to-conversion rate, generating $2.54 revenue per email (Omnisend 2025 data). The average recovered order value is $168. If you are not sending abandoned cart emails, you are leaving the highest-converting email type on the table.

Back-in-stock emails: 59.19% open rate with a 5.34% conversion rate (Omnisend 2026). The highest-performing automated email type by conversion — but only relevant if you sell physical products.

Automated/triggered emails overall: 51.05% open rate for autoresponders, 45.38% for triggered emails (GetResponse 2024 Benchmarks). Automated emails drove 37% of all email sales from just 2% of total email volume (Omnisend 2025 Ecommerce Marketing Report). That is the single most important stat in email marketing.

Promotional campaign blasts: Omnisend's 2025 report shows overall email open rates reached 26.6% (up 6% year-over-year), but automated emails outperformed campaigns by 52% on opens, 332% on clicks, and 2,361% on conversions. Campaign blasts are the bulk sends most marketers think of as "email marketing" — and they are consistently the worst-performing type.

Newsletter-specific emails: 40.08% (GetResponse). beehiiv reports 41%+ open rates across 28 billion emails sent on their platform in 2025. Substack reports an average open rate of around 50% across their network (via SubstackCourse survey data).

Transactional emails: approximately 8x higher opens and clicks than regular marketing emails (Omnisend). Order confirmations, shipping updates, and receipts are opened because people need the information — not because your subject line was clever.

The takeaway: if your overall open rate is low, check your email mix. A business sending mostly promotional blasts will always have lower rates than one sending mostly automated triggers. The fix is not better subject lines — it is more automation.

Newsletter Open Rates Specifically

Newsletter open rates deserve their own section because the newsletter economy has exploded, and the data looks different from traditional email marketing.

beehiiv — the largest independent newsletter platform after Substack — processed 28 billion emails in 2025 and reports platform-wide open rates of 41%+ across newsletters reaching 255 million unique readers.

Substack reports an average open rate of around 50% across their network (via SubstackCourse survey data), though performance varies widely — some newsletters hit 70%+, others struggle to reach 20%. These numbers are significantly higher than traditional email marketing — partly because Substack audiences are self-selected readers, and partly because Substack's user base skews heavily toward Apple devices (amplifying MPP inflation).

GetResponse's newsletter-specific benchmark is 40.08%, compared to 51.05% for automated emails on the same platform.

Context matters here. Newsletter subscribers actively chose to receive your content — that is a fundamentally different relationship than someone who handed over their email for a discount code. If your newsletter open rate is below 25%, the problem is likely list decay (subscribers who signed up months ago and stopped caring), not content quality. Run a re-engagement campaign, remove the non-responders, and watch your rate climb.

For newsletter creators choosing a platform, see our beehiiv review and Kit review — both are purpose-built for newsletters rather than being marketing platforms with newsletter features bolted on.

Why Apple MPP Changed Everything

In September 2021, Apple introduced Mail Privacy Protection (MPP) with iOS 15. This single change broke open rate tracking for a large segment of email recipients — and the effects are still compounding in 2026.

Here is what MPP does: when an Apple Mail user has MPP enabled (and roughly 64% do — it is opt-out, not opt-in), Apple pre-fetches all email content, including tracking pixels, regardless of whether the user actually opens the email. Every email delivered to an Apple Mail user with MPP appears as opened.

Apple Mail accounts for 50-60% of all email opens in English-speaking markets according to Litmus email client market share data. That means over half of your open tracking data may be artificially inflated.

The practical impact: this is why Mailchimp's old benchmark of 21.33% and GetResponse's current benchmark of 42.53% can both be "correct." They are measuring different things. Pre-MPP adjusted figures land around 17-22%. Post-MPP unadjusted figures land around 32-44%. Neither is wrong — but comparing them directly is meaningless.

As of 2026, the situation has gotten worse. Google has introduced its own proxy features. More email clients are blocking tracking pixels. Yahoo Mail pre-caches images in some configurations.

This does not mean open rates are useless — they still show trends over time on the same platform. A 10% drop in your open rate month-over-month means something real changed, even if the absolute number is inflated. But treating open rate as your primary metric for email health is no longer defensible. See our 2026 benchmarks report for a deeper look at how MPP affects every metric.

Click Rate Matters More Now

With open rates increasingly unreliable, click-through rate (CTR) has become the most trustworthy engagement metric. Unlike opens, clicks require the subscriber to actively interact with your email — no proxy can fake that.

Cross-industry average CTR: 2.0-2.5% according to published benchmarks from Mailchimp, GetResponse, and Campaign Monitor.

E-commerce: 2-3% CTR for campaigns, but automated emails hit 4.5-6.5% CTR (Omnisend). Product links and promotional offers drive clicks.

Media and publishing: 4-5% CTR. Content links naturally generate clicks when the audience is engaged.

Software and B2B: 2-3% CTR. Whitepapers, demos, and feature announcements are common click drivers. ActiveCampaign's own user base averages 6.21% CTOR (click-to-open rate) — among the highest of any platform.

Non-profit: 3-4% CTR. Donation links and action-oriented content perform well.

Click-to-open rate (CTOR) — the percentage of openers who clicked — used to be the gold standard because it measured engagement among people who actually read the email. But with MPP inflating the open denominator, CTOR is now deflated for Apple Mail users, making it unreliable.

The best approach in 2026: track click rate as your primary engagement metric, monitor open rate trends over time (not absolute numbers), and use revenue attribution if your platform supports it. Revenue per email sent is the metric that actually connects email performance to business results — and the platforms that report it (Klaviyo, Omnisend) show automated emails generating $2.87 per email versus $0.18 for campaigns (Omnisend), a 16x difference. See our benchmarks by platform for how each tool measures and reports these numbers.

Benchmarks by List Size

List size has a direct and predictable relationship with open rates. Smaller lists almost always have higher engagement rates — this is about math and recency, not just quality.

Under 1,000 subscribers: 35-50% open rates are typical. These are newer lists with recently acquired, highly interested subscribers. Do not use this as your permanent benchmark — it will drop as your list ages.

1,000-5,000 subscribers: 28-38% open rates. Engagement settles as the list ages and some subscribers lose interest. This is normal and not cause for alarm.

5,000-25,000 subscribers: 22-30% open rates. This is where list hygiene becomes critical. Without regular cleanup, inactive subscribers drag your averages down and hurt deliverability.

25,000-100,000 subscribers: 18-25% open rates. At this scale, segmentation is essential — sending the same email to everyone will produce mediocre results. The businesses that maintain 25%+ at this scale are segmenting aggressively.

Over 100,000 subscribers: 15-22% open rates. Enterprise-scale lists almost always have lower engagement percentages, but the absolute numbers still drive significant revenue. A 15% open rate on 500,000 subscribers is 75,000 opens — more than most small lists will ever achieve.

Do not panic if your open rate drops as your list grows. The important thing is that your total engaged subscribers (opens plus clicks in absolute numbers) continue to increase even as the percentage declines.

Open Rates by Day and Time

Everyone wants to know the best day and time to send. The data is clear on one point: it depends on your email type. The sources genuinely disagree with each other.

GetResponse (4.4 billion messages analyzed): Tuesday has a slight edge at approximately 25% open rate, followed by Monday at 22% and Wednesday at 21%. The differences are described as "not dramatic" — the gap between best and worst day is only a few percentage points.

Omnisend (e-commerce focused): Friday beats Tuesday for opens, clicks, and conversions. Early morning sends (5-6 AM) produce the highest click-through rates — fewer emails competing in the inbox.

The pattern across all sources: mid-week (Tuesday to Thursday) is the conventional wisdom for marketing emails, but the actual differences between days are small — typically 1-3 percentage points. The day you send matters less than what you send and who you send it to.

The honest answer: the best send time is the one you test with your own list. These benchmarks are averages across billions of emails — your audience may behave differently. Most email platforms (MailerLite, ActiveCampaign, Mailchimp) include send-time optimization features that learn from your subscribers' behavior. Use them instead of picking a time from a benchmark report.

What Actually Improves Open Rates

Setting aside the measurement problems, there are proven tactics that increase the likelihood of subscribers engaging with your emails.

Segmentation is the most impactful tactic. Mailchimp's own benchmark data shows that segmented campaigns get 14.3% higher open rates and 100.9% higher click rates than non-segmented campaigns. Even basic segmentation — active vs. inactive, by interest category, or by signup source — produces meaningful improvements.

Sending frequency has a bigger impact than most people realize. Data from multiple platforms shows that 1-2 emails per week consistently produces the highest engagement rates. More than 4 per week and open rates drop significantly as subscribers experience fatigue. The exception is daily newsletters where subscribers explicitly signed up for daily content — beehiiv's data shows no penalty for daily sends in that context.

List hygiene directly impacts open rates. Removing disengaged subscribers mechanically increases your open rate percentage and improves deliverability for the remaining engaged subscribers. We cover this in detail in our deliverability guide.

Send more automated emails. This is the highest-leverage change most businesses can make. Automated emails have 51.05% open rates versus roughly 30% for campaigns (GetResponse). They generate $2.87 per email versus $0.18 for campaigns (Omnisend). Every welcome sequence, abandoned cart flow, and post-purchase series you set up will outperform your newsletters.

Personalization beyond first name helps, but the gains are incremental — roughly 1-2% higher open rates when subject lines include personal context beyond just a name. Behavioral triggers (like cart abandonment) consistently outperform batch newsletters, with open rates typically 2-3x higher.

Subject Line Formulas That Work

Subject lines are the single most testable element of email marketing, and there is enough data to identify reliable patterns.

Numbers and specificity outperform vague promises. "5 tools that saved us $2,340/month" beats "Great tools for your business" every time. Phrasee analyzed over 2 billion email subject lines and found that specific numbers in subject lines improve open rates by 15-20% compared to generic alternatives.

Questions generate curiosity. "Are you making these 3 pricing mistakes?" works because it creates an information gap the reader wants to close. Questions consistently outperform statements in A/B tests.

Urgency works when it is genuine. "24 hours left: early pricing ends tonight" can boost open rates by 10-15% if the urgency is real. Fake urgency ("last chance" for an evergreen offer) trains subscribers to ignore you.

Personalization in subject lines provides a modest lift. Including the subscriber's name or company increases open rates by roughly 1-2% in most studies. More effective is behavioral personalization — referencing a specific action they took.

Length matters: 6-10 words performs best across most analyses. On mobile (where 60%+ of emails are opened), longer subject lines get truncated. Front-load the important information.

Emoji usage is polarizing. Some studies show a small open rate lift, others show no effect or slight negative impact. The consensus: one relevant emoji can work in casual/consumer contexts, but avoid them in professional B2B emails.

The most important practice is A/B testing. Send two subject line variants to 20% of your list, then send the winner to the remaining 80%. Most email platforms include this feature — use it on every campaign.

When to Worry About Your Rates

Not every open rate dip requires action. Email engagement naturally fluctuates with seasons, news cycles, and subscriber lifecycles. Here is when you should actually be concerned.

Steady decline over 3+ months: if your open rate is dropping consistently month over month and you have not changed your content or frequency, investigate deliverability first. Check Google Postmaster Tools and your bounce rates.

Sudden dramatic drop (more than 30% decline in one send): this usually indicates a deliverability event — you may have hit a spam trap, been added to a blacklist, or your authentication broke. Check MXToolbox for blacklist status and verify your SPF/DKIM/DMARC records.

Open rates below 10% for non-e-commerce lists: something is fundamentally broken. Either your list is severely degraded, your content is not resonating, or you have a major deliverability problem. Start with a list audit.

Very high open rates (above 50%) with low click rates: you are likely seeing MPP inflation. The opens are not real engagement. Focus on click rate instead.

New subscribers not engaging: if subscribers acquired in the last 30 days have lower open rates than your list average, your acquisition source may be the problem. Check if you are getting low-quality signups from a specific source.

For a complete guide to diagnosing and fixing email deliverability issues, including SPF, DKIM, and DMARC setup, see our deliverability guide.

How Email Platforms Calculate Open Rates

Not all email platforms calculate and report open rates the same way, which makes cross-platform comparisons unreliable.

The basic formula: open rate = unique opens / delivered emails x 100. But "delivered" and "opens" are defined differently across platforms.

Mailchimp calculates open rate as unique opens divided by delivered emails (not sent emails). Since delivered emails exclude bounces, this slightly inflates the rate compared to platforms that use total sent as the denominator. Mailchimp's current benchmark is 35.63% across all industries. Their formerly published 21.33% figure (pre-MPP) is still widely cited across the internet but is no longer on their benchmarks page.

ActiveCampaign includes machine opens by default. You can filter these out in reporting, but the default view includes MPP-inflated numbers. Their user base averages 39.26% open rate with MPP included.

MailerLite reports open rates including machine opens at 43.46% average. Their reporting is straightforward but does not separate human opens from machine opens.

Klaviyo stands out — they implemented a separate reporting view that distinguishes between machine opens and likely human opens. This gives you a more accurate picture but makes comparing rates to other platforms meaningless.

GetResponse reports 42.53% across all industries, including all opens. Their benchmark reports are among the most comprehensive, based on 4.4 billion messages analyzed.

The takeaway: do not compare your open rate on one platform to benchmarks published by another platform. The methodology differences can account for 5-15 percentage points of variation. Track your trends over time on the same platform and use click rate for cross-platform comparisons. For a complete platform-by-platform breakdown, see our benchmarks by platform report.

How to Calculate Your Email Open Rate

The formula is simple: (unique opens / emails delivered) x 100 = open rate percentage.

Emails delivered means emails sent minus bounces. If you sent 10,000 emails and 200 bounced, your delivered count is 9,800. If 2,940 unique recipients opened the email, your open rate is (2,940 / 9,800) x 100 = 30%.

Unique opens means each subscriber is counted once, regardless of how many times they opened the email. Some platforms also report total opens (counting re-opens), which inflates the number.

Important caveats for 2026: this number includes machine opens from Apple MPP and other privacy proxies. Your "real" human open rate is likely 10-20 percentage points lower than the number your platform shows. There is no reliable way to calculate exact human-only opens, though Klaviyo's estimated approach comes closest.

A more useful metric to calculate: effective engagement rate. Take your click count (which cannot be faked by proxies), divide by emails delivered, and multiply by 100. If your click rate is 2.5% on 9,800 delivered emails, that is 245 people who genuinely engaged. Work backwards from there — if industry CTOR averages 6-8%, those 245 clicks likely represent roughly 3,000-4,000 real human opens. That is your estimated true open rate.

This back-calculation is not precise, but it is more honest than the inflated number in your dashboard.