What's a good email open rate? 2026/2027 benchmarks by industry

A good email open rate in 2026/2027 often falls somewhere around 30% to 40%.

That’s a decent place to start, but the percentage on its own won’t tell you much. A weekly newsletter sent to active subscribers should be judged differently from a broad campaign sent to an older database.

Current benchmark reports also vary more than people expect. Some put overall open rates close to 30%, while others sit above 40%.

Open tracking has become less precise too. Apple Mail Privacy Protection and automated security scanners can trigger tracking without a person opening the message in the traditional sense.

If your latest campaign shows 34%, compare it with similar sends and your own recent history before deciding if anything needs fixing.

Quick answer: For many commercial email campaigns, 30% to 40% is a healthy reported open rate. Results above 40% can be strong, while lower rates may still be normal for certain industries and campaign types.

Email open rate benchmarks for 2026/2027

Average email open rate benchmark figures vary depending on which report you read.

A campaign at 35% could look strong against one dataset and fairly ordinary against another.

The difference comes from who’s included and how the figures are calculated. MailerLite, for example, reports median performance across millions of campaigns, while other providers publish averages. 

Customer mix also changes the final number. A platform with more nonprofits or service businesses won’t necessarily produce the same benchmark as one dominated by ecommerce senders.

For most teams, the 30% to 40% range is enough to answer the first question: are we broadly where we’d expect to be?

After that, the comparison needs to be more closely aligned with your own audience.

The same percentage can tell a very different story depending on the list behind it.

A 27% open rate may be perfectly healthy for a large promotional database. If a smaller customer newsletter usually reaches 38%, the same 27% is a noticeable drop.

List history changes the picture too. A database built gradually from active subscribers often behaves differently from one that contains older leads or people who haven’t engaged for months.

Start with the closest comparison you have: recent campaigns sent to a similar audience for the same purpose. Industry data can then show how that performance sits in a wider context.

Average email open rates by industry

Industry data narrows the comparison further.

Recent Constant Contact benchmark data shows a clear spread:

Our own published benchmarks show an even wider range across industries.

Here are 10 average open rates according to our own calculations:

Part of that comes down to intent. Subscribers to nonprofit or education lists often know what message they’re waiting for, while promotional campaigns may be competing with a crowded inbox and lower urgency.

Even companies in the same sector can see very different results. A real estate agency emailing active buyers every week is working with a warmer audience than one sending to enquiries collected over several years.

If a real estate campaign reaches 30%, that may already be a good result. A nonprofit newsletter sent to long-term supporters could reasonably aim higher.

How do you calculate email open rate?

Email open rate measures the percentage of successfully delivered emails that register at least one open.

The formula is:

Unique opens ÷ delivered emails × 100

Suppose you send 10,000 emails. Of those, 9,500 are delivered, and 3,040 unique opens are recorded.

3,040 ÷ 9,500 × 100 = 32%

Your reported open rate is 32%.

Bounced messages are excluded because they never reached the recipient.

Keep this in mind if performance starts to dip, as a drop in open rates often stems from deliverability issues rather than the email content itself.

If fewer messages are reaching inboxes, subject-line changes won’t solve much. Sender reputation, authentication and list hygiene are better places to investigate first.

Our guide to building and maintaining domain reputation covers that side of email performance in more detail.

Why aren’t benchmark reports uniform?

There isn’t one universal dataset behind the phrase “average email open rate”.

Different providers serve different audiences, and that alone can shift the headline number. A platform with lots of schools and charities may see a different pattern from one serving high-volume ecommerce brands.

Methodology can change the result as well. Some reports use averages, while others use medians. An average can be pulled upward by a smaller group of high-performing campaigns, whereas the median shows the middle result.

Campaign type also changes the baseline. Welcome emails often arrive when interest is already high, while newsletters have to earn attention in a crowded inbox. Triggered messages can behave differently, as they directly follow a recipient's recent action.

List quality can shift the number just as much. A smaller audience that regularly engages can outperform a much larger database filled with old contacts.

If your list has grown quickly or engagement has started to slide, our guide to building a quality email marketing data pot is a good place to continue.

Are email open rates still accurate in 2026?

It’s useful to understand what a good email open rate looks like. They’re still worth tracking, especially when you’re comparing similar campaigns over time.

Most email platforms record an open when a small tracking image loads. Apple Mail Privacy Protection can preload remote content, while corporate security systems may inspect messages automatically.

So a reported 40% open rate doesn’t mean exactly 40% of recipients actively read the email.

The trend usually tells you more.

If a newsletter has been sitting around 31% to 33% for several months and suddenly drops to 22%, something changed. It could be the audience or inbox placement. The campaign itself may also be part of the story.

Testing works the same way. If one subject-line variation repeatedly performs better with the same audience, the pattern is still worth paying attention to even if some opens were automated.

Open rate data works best when it’s used to compare movement over time or differences between similar groups.

Clicks and conversions then show what happened after someone reached the email.

Transpond also monitors campaign activity for patterns that may indicate bot behaviour, including unusually high volumes of opens or clicks from the same IP address within a short period.

Why you should diagnose low open rates before optimizing

Subject lines get a lot of attention because they’re easy to change and can help you nail your email marketing campaign.

They aren’t always the first thing to fix, though.

If open rates fall across several campaigns, start with delivery and bounce data. A drop in inbox placement can affect every send at once.

Take a look at audience composition. Suppose your regular newsletter goes to 8,000 active contacts and averages around 31%. You add a much larger group of older leads and the next campaign falls to 23%. The lower rate may say more about the list than the creative.

Once delivery and audience look normal, the inbox message becomes easier to assess.

The sender name should feel familiar, while the subject line and preheader should give the recipient a clear reason to open without repeating each other.

There’s no universal formula here.

For example, ‘Your August campaign report is ready’ could outperform ‘Three campaigns that beat our benchmark’ with one audience and underperform with another.

Testing gives you evidence from your own audience. Transpond supports A/B split testing across subject lines, sender details and email content.

Segmentation also matters when the same campaign is being sent to people with very different levels of intent.

A recent buyer and a subscriber who’s ignored the last 10 emails aren’t in the same place. Transpond lets you segment contacts using activity, tags, domains and custom fields.

Timing and frequency are worth testing once the larger variables are stable. Your own campaign history will usually tell you more than a generic study claiming that one weekday wins for everyone.

Transpond’s Smart Sending features can use engagement behaviour to help determine when individual contacts are more likely to interact.

What a low open rate tells you

Imagine your newsletter normally lands between 29% and 32%, and the latest send comes in at 22%.

The number looks bad at first glance.

Now add some context: this campaign included 10,000 older contacts that hadn’t received an email in months.

That changes the diagnosis.

Maybe delivery fell sharply at the same time. In that case, the issue may sit upstream of the creative.

Or perhaps open rate dropped while click rate and conversions stayed almost unchanged. Then the headline percentage looks worse than the business result.

A benchmark should prompt questions. It shouldn’t end the analysis, though.

How to improve your email open rate

Once delivery looks healthy and the audience is appropriate, testing becomes easier to interpret.

Change one variable at a time where possible.

If the subject line, audience, sender, timing, and offer all change at once, even a strong result leaves you with very little evidence about what caused the improvement.

Transpond’s A/B testing tools help isolate individual changes, while campaign reporting lets you see what happened after the open.

For some campaigns, resending to contacts who didn’t open the first email can also work. It’s better used selectively, especially with less-engaged subscribers.

If the goal was to drive traffic to a landing page, Campaign B produced the stronger result.

Campaign A attracted a high number of recorded opens, yet very few recipients moved beyond the inbox. Campaign B reached fewer openers but generated much more active engagement.

Looking at both metrics together gives you a clearer picture than either one on its own.

What else should you track?

1. Open rate makes more sense when it sits alongside the rest of the campaign data.
2. Click-through rate shows how many recipients interacted with the email, while conversion rate connects that engagement with the action the campaign was designed to generate.
3. Bounce rate can expose list-quality or delivery problems. Unsubscribe rate can point to changes in relevance or frequency.
4. For campaigns where inbox placement is a concern, deliverability deserves its own attention too.

A 42% open rate can still be disappointing if almost nobody clicks. A 29% open rate may be commercially successful if the people who engage go on to convert.

Transpond’s campaign reports bring opens, clicks, deliverability, bounces and unsubscribes into one view.

How Transpond helps you make sense of open rate data

What do you do once you know your campaign opened at 27%, 34% or 46%?

The number gives you a starting point. Transpond lets you dig into what happened around it, from clicks and bounces to segment performance and later engagement.

Campaign reporting shows how opens sit alongside the rest of the send. If one segment keeps performing better than another, you can build future campaigns around that behaviour instead of treating the overall average as the whole story.

A/B testing gives you a cleaner way to compare changes to subject lines, sender details or content. Because you’re testing variations against the same audience, it’s easier to see what actually moved the result.

Smart Sending can also use previous engagement behaviour to support send-time decisions and prioritize contacts who are more likely to interact.

Once you spot a change in open rate, you can investigate it inside the same platform, test an adjustment and see if any improvement carries through to clicks or conversions.

What email open rate should you aim for in 2026/2027?

For many commercial email campaigns, 30% to 40% is a sensible starting benchmark.

After that, use the closest comparison you have.

A newsletter improving from 23% to 29% across the same audience may be moving in the right direction even if an industry report says 35% is average.

The reverse can happen too. A campaign may still sit above the market benchmark while gradually losing engagement compared with its own history.

External benchmarks show where your number sits in the wider market. Your own campaign history shows what’s changing inside your audience.

Understand the context behind every email open rate

See which contacts opened, what they clicked and how different segments behaved. Transpond gives you the campaign data and testing tools to turn one percentage into your next decision.

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FAQs

Is a 25% email open rate good?

A 25% open rate can be healthy in industries where typical performance sits in the mid-20s. It falls below several broad email marketing benchmarks, so compare it with similar campaigns from your own business and recent sends to the same audience.

Is a 30% email open rate good?

For many commercial campaigns, 30% is a reasonable result. Current platform benchmarks often start around this level and extend above 40%. Industry, campaign type and list quality all influence how that number should be read.

Is a 35% email open rate good?

Yes. A 35% open rate sits within the healthy range reported across several current email marketing datasets. Your own recent performance and industry-specific benchmarks give the best additional context.

Is a 50% email open rate good?

A reported 50% open rate is strong compared with most broad email marketing benchmarks. Small, highly engaged lists and tightly targeted campaigns can reach that level. Check clicks and conversions too, since privacy tools and automated scanners can influence reported opens.

What is the average email open rate?

Current major email marketing reports place overall open rates at roughly 30% to 43%, depending on the platform and methodology used. Industry-specific benchmarks can sit well above or below that range.

Are email open rates accurate?

Open rates are still helpful for trends and campaign comparisons, although they aren’t perfectly precise. Apple Mail Privacy Protection and automated security scanners can trigger tracking without a traditional human open. Clicks, conversions and deliverability data provide extra context when you’re evaluating performance.