What Is a Good Email Open Rate? Benchmarks by Industry and How to Beat Them

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The short answer

A good email open rate in 2026 sits between 20% and 35% for most lists. Ecommerce and B2B SaaS newsletters typically land in the low-to-mid 20s, nonprofits and local service businesses often clear 30%, and transactional or triggered emails can top 45%.

But here is the part most benchmark articles skip: a large share of the opens you see are not human. Apple Mail Privacy Protection (MPP) and similar image proxies pre-load tracking pixels automatically, which means your dashboard is showing you a number that has been artificially pumped up since 2021. If your reported open rate is 34%, your real human open rate might be closer to 18%.

This post gives you the benchmarks, explains how much of that number is noise, and walks through the fixes that actually move the metric: sender name, subject line, send time, and list hygiene.

How email open rate is calculated (and why the formula is broken)

The standard formula is simple:

Open rate = (Unique opens ÷ Emails delivered) × 100

Note that it uses delivered emails, not emails sent. Bounces are excluded, which is why a dirty list with high bounce rates can look deceptively fine on open rate while quietly destroying your sender reputation.

The problem is how an “open” is detected. Your email platform embeds a 1×1 transparent tracking pixel. When the image loads, the platform logs an open. That logic assumed a human downloading images. In 2026 it no longer holds:

  • Apple Mail Privacy Protection pre-fetches all images through Apple’s proxy servers, whether or not the recipient ever looks at the message.
  • Gmail’s image caching proxies images through Google servers, which distorts location and device data.
  • Security scanners and spam filters at corporate gateways click and load everything, inflating both opens and clicks in B2B sends.
  • Plain text readers and image blockers do the opposite: a genuine human reads the email and it is never counted.

How much does Apple MPP inflate your open rate?

Apple Mail is used by a very large slice of consumer inboxes, and MPP is enabled by default. Across most consumer lists, roughly 35% to 60% of logged opens are machine opens. The effect is strongest on B2C and ecommerce lists (lots of iPhones) and weaker on B2B lists dominated by Outlook desktop clients.

Practical consequence: stop comparing your 2026 numbers to pre-2021 benchmarks, and stop comparing your open rate to another company’s unless you know their audience’s device mix. Open rate is now a directional trend metric, not an absolute truth.

email marketing analytics

Good email open rate benchmarks by industry (2026)

The table below blends reported averages from the major ESP benchmark studies (Mailchimp, Campaign Monitor, Klaviyo, HubSpot). These are MPP-inflated reported figures, which is exactly what you will see in your own dashboard, so they are comparable. The right-hand column is our estimate of the realistic human open rate once machine opens are stripped out.

Industry Reported open rate (average) Good target Estimated human open rate
Ecommerce & retail 25% – 32% 35%+ 12% – 18%
B2B SaaS & software 22% – 30% 32%+ 14% – 20%
Local services (trades, clinics, salons) 30% – 38% 40%+ 18% – 24%
Nonprofits & charities 28% – 36% 38%+ 16% – 22%
Government & public sector 38% – 42% 45%+ 24% – 30%
Education & training 30% – 36% 38%+ 18% – 23%
Real estate 26% – 33% 35%+ 14% – 19%
Travel & hospitality 22% – 28% 30%+ 11% – 16%
Agencies & marketing services 20% – 27% 30%+ 11% – 16%
Health & wellness / supplements 24% – 28% 30%+ 11% – 15%

Treat these as ranges, not laws. A 5,000-contact list from a single lead source behaves very differently from a 500,000-contact list stitched together over eight years.

Benchmarks by email type (more useful than industry averages)

Honestly, email type predicts open rate better than industry does. Comparing a welcome email to a monthly newsletter is comparing two different products.

Email type Typical reported open rate Typical click rate
Welcome email 50% – 65% 8% – 15%
Order / shipping confirmation 55% – 70% 6% – 12%
Abandoned cart / browse abandonment 40% – 55% 5% – 10%
Segmented campaign (behaviour based) 30% – 45% 3% – 6%
Regular newsletter 22% – 35% 2% – 4%
Promotional blast to full list 15% – 25% 1% – 3%
Re-engagement / win-back 8% – 18% 0.5% – 2%
Cold B2B outreach (1:1 style) 30% – 60% Reply rate 3% – 8%
email marketing analytics

How to set a realistic open rate target for your own list

Forget the industry average for a moment. Your baseline is the only number that matters. Here is the method we use with clients:

  1. Pull your last 10 to 12 campaigns of the same type (newsletters with newsletters, promos with promos). Ignore triggered flows for now.
  2. Drop the best and the worst result. One viral subject line and one Black Friday disaster will skew your median.
  3. Take the median, not the mean. That is your true baseline.
  4. Estimate your MPP share. Most ESPs now report “Apple privacy opens” or let you filter by mail client. If yours does not, look at the percentage of your list opening on Apple Mail and assume most of those are proxied.
  5. Set a target of baseline + 15% relative improvement over the next quarter. If your median is 24%, aim for 27.6%, not 45%. Chasing someone else’s benchmark leads to list-pruning games rather than real gains.
  6. Track click-to-open rate (CTOR) and conversions alongside it. Open rate that climbs while clicks stay flat means you wrote clickbait, not a better email.

Rule of thumb: if your reported open rate is above 20% and your click-to-open rate is above 10%, you are in healthy territory. If your open rate is below 15% on a permission-based list, you likely have a deliverability problem, not a subject line problem.

Warning signs your open rate is lying to you

  • Opens are high but clicks and revenue are flat or falling.
  • Your “opens” spike within the first 60 seconds of a send (machine pre-fetching).
  • Open rate rises every time your list shrinks (you are just removing non-openers, not improving).
  • Spam complaint rate is creeping above 0.10%, the threshold Gmail and Yahoo flag.
  • Unsubscribes climbing while opens hold steady.
email marketing analytics

How to improve your email open rate: the fixes that actually work

1. Fix deliverability first (nothing else matters if you are in spam)

Since Gmail and Yahoo tightened bulk sender requirements in 2024, authentication is non-negotiable. Before you touch a subject line, confirm:

  • SPF, DKIM and DMARC are all published and passing. DMARC must be at least p=none, and moving to quarantine is better.
  • One-click list unsubscribe header is active.
  • Spam complaint rate stays under 0.30%, ideally under 0.10%.
  • You are sending from a subdomain (mail.yourdomain.com) rather than your root domain, so a bad campaign does not poison your transactional email.
  • Hard bounces are removed immediately and repeated soft bounces after three attempts.

A list that has never been cleaned is the single most common cause of a sub-15% open rate.

2. Optimise the sender name (the most underrated lever)

Recipients scan the sender name before the subject line. Testing consistently shows sender name changes move open rate more than subject line tweaks.

  • Use a person plus the brand: “Sarah at Adhurl” beats “Adhurl Marketing Team”.
  • Stay consistent. Rotating sender names breaks recognition and inbox placement history.
  • Avoid noreply@. It signals automation and suppresses replies, which are a positive engagement signal to mailbox providers.
  • Keep it under 23 characters so it does not truncate on mobile.

3. Write subject lines people actually open

Rules that hold up across tests in 2026:

  • Length: 30 to 50 characters. Mobile clients cut off around 35 to 40.
  • Specificity beats cleverness. “3 pricing mistakes killing your margin” outperforms “Let’s talk pricing”.
  • Lowercase and plain wording often outperform title case in B2B because they look like a colleague’s email.
  • One emoji maximum, and only if it fits your brand. Two or more reads as promotional.
  • Avoid: FREE, ACT NOW, all caps, multiple exclamation marks, and excessive punctuation.
  • Curiosity gaps work once. Use them sparingly or your list learns to distrust you, and CTOR collapses.
  • Personalisation beyond first name performs better: reference a city, a product they viewed, or a plan tier.

Do not forget the preheader

The preheader is roughly 40 to 100 extra characters of free real estate. Do not let it default to “View this email in your browser”. Use it to extend the subject line, not repeat it.

4. Send at the right time (but stop obsessing over it)

Send time is worth a few percentage points, not a transformation. General patterns that still hold:

Audience Best days Best window
B2B SaaS Tuesday, Wednesday, Thursday 08:00 – 10:00 local
Ecommerce B2C Thursday, Friday, Sunday 10:00 – 12:00 and 19:00 – 21:00
Local services Tuesday, Wednesday 09:00 – 11:00
Nonprofits Tuesday, Sunday 07:00 – 09:00 and 17:00 – 19:00

Two things matter more than the clock: sending in the recipient’s own time zone, and sending on a predictable schedule so subscribers expect you. If your platform offers send-time optimisation based on individual open history, turn it on and move to the next thing.

5. Segment and suppress

The fastest legitimate open rate gain comes from not emailing people who never open.

  1. Build an engaged segment: opened or clicked in the last 90 days.
  2. Build a lapsed segment: no engagement in 90 to 180 days. Send these a 3-email win-back sequence.
  3. Suppress anyone with zero engagement in 180+ days. They are dragging your sender reputation down and hiding your real performance.
  4. Because MPP inflates opens, define engagement by clicks and site activity where possible, not opens alone.

A list of 20,000 engaged contacts outperforms 100,000 stale ones on revenue, inbox placement and cost. monday.com goes into the numbers.

6. Rebuild the metric stack around clicks

Since open rate is compromised, promote these to your main dashboard:

  • Click-to-open rate (CTOR): target 10% to 15% for newsletters, 6%+ for promos.
  • Click-through rate: 2% to 5% is the healthy band for most industries.
  • Conversion rate and revenue per recipient: the only numbers a CFO cares about.
  • Reply rate: especially for B2B and cold outreach.
  • List growth net of unsubscribes.
email marketing analytics

A 30-day plan to lift your open rate

  1. Days 1 to 3: audit SPF, DKIM, DMARC and one-click unsubscribe. Fix anything failing.
  2. Days 4 to 7: clean the list. Remove hard bounces, role addresses and 180-day non-engagers.
  3. Days 8 to 10: calculate your true baseline using the median method above.
  4. Days 11 to 14: change the sender name to a person plus brand and keep it fixed for the whole quarter.
  5. Days 15 to 21: run two subject line A/B tests on segments of at least 2,000 contacts each. Test one variable at a time.
  6. Days 22 to 26: enable per-recipient send time optimisation or switch to recipient local time.
  7. Days 27 to 30: rewrite every preheader in your automated flows and compare CTOR against your baseline.
email marketing analytics

FAQ

Is a 25% email open rate good?

Yes, 25% is a solid, average-to-good result in 2026 for a newsletter or campaign in most industries. It sits comfortably inside the 20% to 35% healthy band. Check your click-to-open rate next: 25% opens with 12% CTOR is genuinely good, while 25% opens with 3% CTOR suggests the subject line is over-promising. oddballmarketing.com.au walks through the specifics.

Is 35% a good email open rate?

A 35% open rate is above average and puts you in the top tier for ecommerce, B2B SaaS and agency lists. Bear in mind that Apple Mail Privacy Protection may account for a third or more of that figure, so the human open rate is probably closer to 18% to 22%. Still strong, just not as strong as it looks.

What is a good open rate for nonprofit emails?

Nonprofits typically report 28% to 36%, higher than commercial senders because subscribers have an emotional connection to the cause. A good target is 38% or more for appeals and impact updates. Donor-only segments and lapsed-donor win-backs will sit well above and well below that range respectively. Originally covered on https://mailpro.com.

What is a good open rate for cold email outreach?

For 1:1 style B2B cold email sent from a warmed domain, 30% to 60% reported opens is normal. Because corporate security scanners inflate opens heavily in this channel, judge cold outreach on reply rate instead: 3% to 8% positive replies is a working sequence.

Why did my open rate suddenly drop?

The usual suspects, in order of likelihood: a deliverability change pushing you to spam or the Promotions tab, a list import of low-quality contacts, a sender name or domain change, an ESP migration without proper IP warm-up, or a mailbox provider policy update. Check inbox placement before you rewrite your subject lines.

Should I still track open rate at all?

Yes, but as a trend line for your own list, never as a cross-company comparison or a primary KPI. A sudden 10-point drop still tells you something broke. Just make clicks, conversions and revenue per recipient the numbers you report to leadership.

The takeaway

A good email open rate is whatever beats your own median by a meaningful margin, on a list you have actually cleaned, measured with the understanding that a chunk of those opens were never human. Get authentication right, pick a sender name a person recognises, write specific subject lines, suppress dead contacts, and judge yourself on clicks. That sequence produces a better open rate as a side effect, and more importantly, it produces revenue.

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