Email Open Rate Benchmarks by Industry (2026): What's Good and How to Improve

Before you can improve your email open rate, you need to know what a good open rate actually looks like for your industry. A 22% open rate might be excellent for an e-commerce retailer but mediocre for a government agency newsletter. Context is everything.

This guide compiles 2026 email open rate benchmarks across 25+ industries, broken down by device type, day of the week, and time of send. It also explains the Apple Mail Privacy Protection effect on open rate data, how list hygiene directly affects your open rate numbers, and concrete tactics for improving your rates based on what the data actually shows.

Overall Email Open Rate Averages in 2026

Looking at aggregated data across billions of emails sent in 2025 and early 2026, the industry-wide average open rate sits at approximately 36-38% when measured by ESPs that include Apple MPP opens. When MPP opens are excluded or adjusted, the average drops to around 20-25%. Both numbers matter depending on what you are measuring and how your ESP reports data.

Click-through rates (the percentage of recipients who clicked a link) have remained more stable since clicks require genuine human action: around 2.0-2.5% on average. The click-to-open rate (CTOR) is a cleaner engagement metric because it measures clicks among people who opened, removing unengaged recipients from the calculation. Industry average CTOR is around 9-11%.

Unsubscribe rates average 0.1-0.2% per campaign. Spam complaint rates above 0.1% are a trigger for deliverability penalties at Gmail and Yahoo. These secondary metrics often tell you more about list health and content quality than open rates alone.

Email Open Rate Benchmarks by Industry (25+ Sectors)

These benchmarks are compiled from data reported by major ESPs (Mailchimp, Klaviyo, Campaign Monitor, HubSpot, Brevo) for the 2024-2025 period, adjusted for MPP inflation where data is available. Your results will vary based on list quality, frequency, segment targeting, and subject line quality.

Industry	Average Open Rate	Average Click Rate	Average Unsubscribe Rate
Government / Public Sector	40.5%	3.9%	0.09%
Nonprofit / Charity	39.8%	2.7%	0.11%
Religious / Community Organizations	38.6%	2.3%	0.07%
Education / Higher Ed	38.1%	3.4%	0.12%
Healthcare / Medical Practice	37.2%	3.0%	0.15%
Financial Services / Banking	36.9%	2.8%	0.14%
Insurance	36.4%	2.5%	0.19%
IT Services / Technology (B2B)	35.1%	2.9%	0.13%
Professional Services / Consulting	34.8%	2.4%	0.16%
Real Estate	34.5%	1.9%	0.20%
Legal Services	33.9%	2.2%	0.14%
Publishing / Media / News	33.6%	4.2%	0.10%
SaaS / Software Startups	33.2%	2.7%	0.18%
Marketing / Advertising Agencies	32.5%	2.3%	0.22%
Travel / Hospitality	31.4%	2.4%	0.21%
Food / Restaurant / Delivery	30.9%	1.8%	0.25%
Health / Wellness / Fitness	30.5%	2.0%	0.23%
Retail / E-commerce (General)	29.8%	1.7%	0.28%
Beauty / Personal Care	29.3%	1.5%	0.29%
Fashion / Apparel	28.6%	1.6%	0.32%
Home / Furniture / Garden	28.1%	1.4%	0.27%
Sports / Outdoor / Recreation	27.9%	1.9%	0.26%
Entertainment / Events	27.4%	2.1%	0.24%
Automotive / Vehicles	26.8%	1.5%	0.21%
Daily Deals / Coupon Sites	22.3%	2.8%	0.35%
Cold Outreach (B2B)	18.5%	3.0%	N/A

Key patterns in this data: government, nonprofit, and education sectors consistently outperform retail and e-commerce. This makes sense: recipients who signed up for government agency updates or nonprofit newsletters expect content they care about and chose explicitly. Retail and e-commerce audiences sign up with a mix of intentions, including one-time purchase customers who have low long-term interest in promotional emails.

The publishing / media sector has an interesting combination: below-average open rates but above-average click rates. This reflects the nature of newsletter audiences: engaged readers who open and click, but also a tail of disengaged subscribers who open casually without clicking anything.

Open Rates by Device

Where people read email has changed significantly over the past decade. Mobile overtook desktop for email opens around 2019, and mobile has maintained its lead. However, the device split varies significantly by industry and audience demographics.

Device	Share of Opens	Average Open-to-Click Rate	Notes
Mobile (iOS + Android)	52-58%	8.4%	Dominant for consumer brands; higher for lifestyle/retail
Desktop (Mac + Windows)	28-34%	12.1%	Higher CTOR: desktop users tend to be more task-oriented
Webmail (Gmail, Outlook.com, Yahoo)	12-16%	9.3%	Mix of device types; browser-based reading
Tablet	4-6%	10.2%	Declining share; mixed consumer/professional use

What this means for your emails: if the majority of your audience opens on mobile, your email design needs to prioritize single-column layouts, large fonts (minimum 16px body text), and tap-friendly CTA buttons (minimum 44px tall). Text-heavy emails with small fonts and narrow columns that look fine on desktop become illegible on a 375px wide phone screen.

Desktop openers have a higher click-to-open rate, which suggests that desktop readers are more likely to take action when they do open. This is consistent with the idea that desktop reading happens during work hours with purposeful intent, while mobile reading tends to be more passive and quick.

Email Client Market Share (2026)

Email Client	Market Share	MPP Affected
Apple Mail (iOS + macOS + iPad)	52-55%	Yes (inflates open rates)
Gmail (app + web)	28-30%	No
Outlook (desktop + app)	6-8%	No
Yahoo Mail	3-4%	No
Other / Unknown	5-8%	Varies

Apple Mail's dominance in market share (particularly on iOS) is the reason MPP has such a large effect on open rate statistics. When over half of your emails are opened in Apple Mail, and Apple Mail pre-fetches all content triggering false "open" events, your raw open rate number can easily be 15-20 percentage points higher than the real figure.

Best Days and Times to Send Email

Send time affects open rates, though the effect is smaller than many marketers expect. The quality of your subject line and the relevance of your content have a larger impact. That said, send timing is a free optimization with no content work required, so it is worth getting right.

Day of Week	Relative Open Rate	Notes
Tuesday	Highest (+4-6% vs average)	Consistent best performer across most industries
Wednesday	High (+2-4% vs average)	Strong for B2B; newsletter audiences favor midweek
Thursday	Above average (+1-3%)	Good alternative if Tuesday is competitive in your niche
Monday	Average	Inbox competition from weekend backlog; works for B2B news
Friday	Below average (-2-4%)	Readers start disengaging as weekend approaches
Saturday	Mixed (depends on industry)	High for retail/consumer deals; low for B2B
Sunday	Below average	Some newsletter types perform well (Sunday reads); most do not

Time of Day (Recipient's Local Time)	Performance	Audience Context
8:00 - 10:00 AM	Excellent for B2B	Morning inbox check at start of workday
10:00 AM - 12:00 PM	Strong across most	Mid-morning work session; good attention span
12:00 - 2:00 PM	Good for consumer	Lunch break mobile browsing
2:00 - 4:00 PM	Average	Afternoon slump; lower engagement
4:00 - 6:00 PM	Below average	End-of-day inbox noise, low priority reading
6:00 - 9:00 PM	Good for consumer / retail	Evening browsing from home; impulse-friendly
9:00 PM - 7:00 AM	Generally poor	Risk of being buried by morning; some newsletter exceptions

The practical takeaway: Tuesday and Wednesday, between 9 AM and 11 AM in your recipients' local time zones, is the most reliable send window for most business-to-business campaigns. For consumer e-commerce and retail, evenings from 6-9 PM can outperform mornings. Test your own audience rather than defaulting to generic recommendations, because your list behavior is what matters.

What Counts as a Good Open Rate

There is no universal "good" open rate because the number means different things in different contexts. Here is how to think about it:

Compare to Your Own Historical Data First

Your most important benchmark is your own previous performance. If your open rate was 28% last year and is now 22%, that is a meaningful decline worth investigating. If your open rate was 18% and is now 25%, you are improving. Industry averages tell you roughly where you stand relative to peers, but your own trend tells you whether things are getting better or worse.

Industry Context Matters

A 25% open rate for a daily deals site is above the category average and reflects a healthy list. A 25% open rate for a government agency newsletter would be well below the category norm and might indicate deliverability problems or disengaged subscribers. Always compare against your specific category benchmark from the table above.

List Size and Maturity Effect

Smaller, newer lists often have higher open rates because they consist of recently acquired, interested subscribers. As lists grow and age, they accumulate disengaged contacts and the average open rate tends to drift down. A list of 500 engaged subscribers can easily show 50-60% open rates. A list of 500,000 with mixed acquisition sources might show 20-25%. Neither number is "wrong" in isolation.

What the Numbers Mean in Practice

Open Rate	Assessment	Likely Issue If Below Average
Above 40%	Excellent	N/A: maintain current approach
25 - 40%	Good to strong	Normal variation; optimize subject lines and send time
15 - 25%	Average to below average	List quality, subject lines, or relevance issues
10 - 15%	Below average	Significant deliverability, list quality, or content problems
Under 10%	Poor: investigate immediately	Deliverability failure, spam filter placement, or list decay

The Apple Mail Privacy Protection Problem

Since September 2021, Apple Mail has pre-downloaded email content for all users who have the "Protect Mail Activity" option enabled (on by default). This pre-loading triggers the tracking pixel in your email, which your ESP interprets as an "open." The result: every email delivered to an Apple Mail user is logged as "opened" even if the recipient never actually saw it.

Since Apple Mail processes roughly 52-55% of email opens, this inflates raw open rate statistics significantly. How significantly depends on your audience's device preferences, but industry consensus is that MPP adds 15-25 percentage points to raw open rate figures for lists with heavy Apple Mail usage.

What this means practically:

• If your ESP reported 35% open rates before September 2021 and 50% after without any other changes, you likely experienced MPP inflation, not genuine improvement.
• Open rates are now a less reliable engagement signal than they were before 2021.
• Click-through rate (CTR) and click-to-open rate (CTOR) are more reliable engagement signals because they require genuine human interaction.
• For A/B testing subject lines, comparing open rates is still useful if both segments have similar Apple Mail composition, since MPP affects both variants equally.

Some ESPs now offer "MPP-adjusted" open rates by detecting Apple's IP address ranges and excluding or flagging those opens separately. Check your ESP settings to see if this is available.

How List Hygiene Directly Affects Open Rates

This is the connection that many marketers miss: your open rate is a percentage. If the denominator (the number of people your email was delivered to) includes thousands of invalid, inactive, or disengaged addresses that will never open anything, your rate goes down even if the numerator (actual opens) stays constant.

Consider this example:

• You have a list of 100,000 addresses
• 20,000 of those addresses are invalid, inactive, or disposable
• 5,000 people actually open your email
• Measured open rate: 5,000 / 100,000 = 5%
• After removing the 20,000 bad addresses: 5,000 / 80,000 = 6.25%

That is a 25% improvement in measured open rate with exactly the same number of engaged readers. But it goes deeper than that: sending to invalid addresses generates bounces, which damage your sender reputation, which causes more of your emails to land in spam, which reduces opens among even your engaged subscribers. It compounds.

The cascade works like this:

1. High bounce rate damages your sender reputation at Gmail, Outlook, Yahoo
2. Damaged reputation pushes more campaigns to the spam folder
3. Emails in spam are almost never opened, dragging down open rates further
4. Lower open rates signal to inbox providers that recipients do not want your email
5. This further depresses inbox placement, creating a downward cycle

The reverse is also true. Clean your list, reduce bounces, improve your reputation, get better inbox placement, see higher open rates, get even better reputation. Email deliverability and list quality reinforce each other in both directions.

List Condition	Typical Open Rate	Inbox Placement Rate	Bounce Rate
Freshly verified, clean list	28 - 42%	92 - 98%	Under 0.3%
Clean list, 6-12 months old	22 - 35%	88 - 95%	0.3 - 1.5%
Unclean list, 1-2 years old	14 - 22%	75 - 88%	2 - 6%
Severely degraded list (2+ years, no hygiene)	8 - 14%	55 - 75%	6 - 20%
Purchased or scraped list	3 - 10%	30 - 60%	10 - 40%

Subject Line Best Practices That Move the Needle

Subject lines are the primary determinant of whether a recipient opens a specific email. Along with the sender name and preheader text, they are what the recipient sees before deciding whether to engage. Here is what the data and experience actually show.

Length: Shorter Is Usually Better, But Not Always

Subject lines with 6-10 words (roughly 40-60 characters) tend to perform best across most audiences. Shorter subject lines work well on mobile where screen space is limited. Lines over 70 characters get truncated in most email clients. However, the best subject line for your audience is the one that makes them want to open, regardless of length.

Personalization Works, But Only When It Feels Natural

Adding a recipient's first name to a subject line can improve open rates by 10-15% in some audiences. But personalization that feels forced or generic (like "Hi John, check this out!") can actually hurt performance. The best personalization is contextual: referencing something specific about the recipient's behavior, location, or preferences.

Questions Outperform Statements

Subject lines phrased as questions tend to generate more curiosity and therefore more opens. "Why your emails end up in spam" outperforms "Tips to avoid the spam folder" in most tests. The question creates a knowledge gap that the reader wants to close.

Numbers and Specificity Build Trust

Specific numbers in subject lines signal credible content: "7 subject line formulas that increased opens by 31%" is more compelling than "How to write better subject lines." The specificity implies research and concrete value.

Subject Lines to Avoid

• All caps or excessive punctuation (FINAL NOTICE!!!) triggers spam filters and looks aggressive
• Classic spam trigger words: "free," "guaranteed," "no obligation," "act now," "limited time offer" in certain contexts
• Misleading subject lines that do not match the email content (this increases unsubscribes and complaints)
• "Re:" or "Fwd:" used deceptively (some senders fake reply chains to boost opens; it damages trust when discovered)

Preheader Text Is an Extension of the Subject Line

The preheader (the text that appears next to the subject line in most email clients) is often neglected. Many emails default to "View this email in your browser" or the first line of the email body. Using the preheader intentionally, as a secondary subject line that adds context or creates additional curiosity, can improve open rates by 5-10%.

For more subject line tactics with tested examples, see: 150 Email Subject Lines That Get Opens (Tested Examples).

How to Improve Your Email Open Rate

Open rate improvement comes from four levers: list quality, deliverability, subject line relevance, and send strategy. Here is how to work each one.

Lever 1: Clean Your List

This is the highest-impact, lowest-effort improvement for most senders. Run your list through verification to remove invalid addresses. Then segment out contacts who have not opened or clicked in 12-18 months. Run a re-engagement campaign for those inactive contacts, and suppress anyone who does not respond. This alone can improve open rates by 5-15 percentage points for lists that have not been cleaned in over a year.

Lever 2: Improve Deliverability

Open rate is meaningless if your emails are in spam. Authenticate your domain with SPF, DKIM, and DMARC records. Check your domain on blacklist databases. Warm up new sending domains gradually rather than sending large volumes immediately. Use a consistent sending address and domain. Monitor your sender reputation score via Google Postmaster Tools and Microsoft SNDS.

Lever 3: Segment Your List

Sending the same email to your entire list is less effective than sending targeted campaigns to segments. Segment by industry, purchase history, engagement level, signup source, or any other relevant attribute. Targeted emails consistently produce higher open rates than broadcast campaigns because the content is more relevant to the recipient. The more specific you get, the better results you will see.

Lever 4: Test Subject Lines Systematically

Run A/B tests on every campaign where your list is large enough to produce statistically valid results (at least 1,000 per variant). Test one variable at a time: subject line length, question vs statement, personalization on/off, emoji vs no emoji. Record results and build a library of what works for your specific audience.

Lever 5: Optimize Send Time and Frequency

Use your ESP's send time optimization feature if available, or test manually by splitting your list and sending the same campaign at different times. Find the frequency that maximizes engagement without driving unsubscribes. Most audiences tolerate 1-4 emails per month; anything more than weekly requires exceptionally high content quality.

Lever 6: Match Sender Name to Expectations

The sender name appears alongside the subject line. "Sarah from Acme Co" often outperforms "Acme Co Marketing" because it feels like a message from a person rather than a company. Test different sender name formats, especially for sequences that follow a personal lead capture interaction.

Click-to-Open Rate: A Better Metric for Engagement

Given the MPP inflation issue, click-to-open rate (CTOR) has become a more reliable engagement signal than raw open rate. CTOR measures clicks as a percentage of opens, filtering out the question of deliverability and inbox placement and focusing purely on whether the content motivated action.

The formula: CTOR = (Unique clicks / Unique opens) x 100

If 1,000 people open your email and 90 click a link, your CTOR is 9%. The industry average is 9-11%. A CTOR above 15% indicates highly relevant, well-targeted content. Below 5% suggests the email content is not connecting with the people who did open it.

CTOR is not affected by MPP because MPP generates fake opens but not fake clicks. If MPP inflates your open rate from a real 20% to a measured 38%, but clicks stay constant, your CTOR drops proportionally from 10% to 5.3%. This is not a content problem, it is a measurement problem. Understanding this distinction prevents you from making unnecessary content changes to fix a number that was never real.

See also: Email Deliverability: The Complete Guide for 2026 for how inbox placement affects all of these metrics.

Frequently Asked Questions

Related reading: Email List Cleaning: How to Remove Invalid Emails, Email Deliverability: The Complete Guide for 2026, Email Verification: How It Works and Why It Matters.