What Is a Good Email Open Rate? 2026 Benchmarks

Average Open Rates by Industry

Open rates vary dramatically by industry, and knowing where you stand requires honest benchmarks. Based on aggregated data from Mailchimp, GetResponse, and Campaign Monitor — the three platforms that publish the most comprehensive benchmark reports — here are the averages.

Government and non-profit: 28-30% average open rate. These lists tend to be highly engaged because subscribers have a genuine stake in the content.

Education: 25-28%. Similar to non-profit — the content is relevant and often expected.

Agriculture and food: 24-27%. Niche audiences with strong interest.

Healthcare: 22-25%. Regulatory content and health updates drive engagement.

Retail and e-commerce: 15-18%. The most competitive inbox category. Every brand is fighting for attention.

Marketing and advertising: 16-18%. Ironic, given the industry — but marketers are also the most likely to ignore other marketers' emails.

Media and publishing: 20-23%. Newsletters and content-driven emails perform well here.

Software and technology: 20-22%. B2B tech emails perform better than B2C in this category.

The cross-industry average hovers around 21-22%. If you are above that, you are doing better than most. If you are below 15%, something needs to change — either your content, your sending frequency, or your list quality.

Why Apple MPP Changed Everything

In September 2021, Apple introduced Mail Privacy Protection (MPP) with iOS 15. This single change fundamentally broke open rate tracking for a significant portion of email recipients.

Here is what MPP does: when an Apple Mail user has MPP enabled (and most 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. This means every email delivered to an Apple Mail user with MPP appears as opened, even if they never looked at it.

Apple Mail accounts for roughly 50-60% of all email opens in most 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: if your open rate jumped from 22% to 35% in late 2021 or early 2022 and stayed there, that was not your content getting better — that was MPP inflating your numbers. Many marketers celebrated improved open rates that were entirely fake.

As of 2026, the situation has only gotten more muddied. Google has introduced its own proxy features. More email clients are blocking tracking pixels. The era of accurate open rate tracking is effectively over for a large segment of subscribers.

This does not mean open rates are useless — they still indicate trends over time for the non-Apple portion of your audience. But treating open rate as your primary email metric is no longer defensible.

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.

Across industries, average click-through rates range from 2-5% according to published benchmarks from Mailchimp, GetResponse, and Campaign Monitor. The cross-industry average is approximately 2.6-2.8%.

E-commerce: 2-3% CTR. 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.

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 as well.

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.

Benchmarks by List Size

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

Lists under 1,000 subscribers: 30-40% open rates are typical. These are usually newer lists with recently acquired, highly interested subscribers.

Lists of 1,000-5,000: 25-30% open rates. Engagement starts to settle as the list ages and some subscribers lose interest.

Lists of 5,000-25,000: 20-25% open rates. This is the range where list hygiene becomes critical. Without regular cleanup, inactive subscribers drag your averages down.

Lists of 25,000-100,000: 15-22% open rates. At this scale, segmentation becomes essential — sending the same email to everyone will produce mediocre results.

Lists over 100,000: 12-18% open rates. Enterprise-scale lists almost always have lower engagement rates, but the absolute numbers still drive significant revenue.

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

What Actually Improves Open Rates

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

Send time optimization works, but not the way most people think. The data from GetResponse's analysis of 4 billion emails shows that the highest open rates occur between 8-10 AM in the recipient's local time zone on Tuesdays and Thursdays. But the improvement over other times is only 1-3 percentage points. Send time matters, but it is not transformative.

Sending frequency has a bigger impact. 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.

Segmentation is the highest-leverage 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.

List hygiene, which we covered in our deliverability article, directly impacts open rates. Removing disengaged subscribers mechanically increases your open rate percentage and improves deliverability for the remaining engaged subscribers.

Personalization beyond first name also 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 3-5x 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.

Tools That Report Rates Differently

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

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.

ActiveCampaign uses a similar calculation but includes machine opens by default. You can filter these out in reporting, but the default view includes MPP-inflated numbers.

MailerLite reports open rates including machine opens, with a note explaining the impact. Their reporting is straightforward but does not separate human opens from machine opens.

Klaviyo stands out here — 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 includes all opens by default, similar to Mailchimp's approach.

The takeaway: do not compare your open rate on one platform directly to benchmarks published by another platform. The methodology differences can account for 3-8 percentage points of variation. Track your trends over time on the same platform and use click rate for cross-platform comparisons.