Email Open Rates in 2026: Benchmarks, Averages, and How to Improve Yours
Discover 2026 email open rate benchmarks by industry, understand Apple MPP, and get practical tactics to lift your open rates this quarter.

Discover 2026 email open rate benchmarks by industry, understand Apple MPP, and get practical tactics to lift your open rates this quarter.

TL;DR
Every email marketer has the same obsession: that notification showing your campaign's open rate. But in 2026, that number is messier than it's ever been. Apple's Mail Privacy Protection (MPP) has been quietly inflating open rates for millions of campaigns since 2021, and many teams are still making decisions based on data they don't fully understand.
This guide cuts through the noise. You'll get real benchmarks, an honest take on what open rates actually mean today, and a practical set of tactics you can use to improve engagement - whatever your platform.
Email open rate is the percentage of delivered emails that are opened by recipients. The formula is straightforward:
Open rate = (Unique opens / Emails delivered) x 100
So if you send 1,000 emails, 50 bounce, and 400 people open the remaining 950, your open rate is 42.1%.
Simple enough - until Apple got involved.
Since September 2021, Apple's Mail app has pre-loaded email content in the background for users who opt in to Mail Privacy Protection. This means an email gets logged as "opened" even if the person never reads it.
As of early 2026, around 58% of email opens are now processed through Apple Mail, according to Litmus's Email Analytics report. That makes raw open rates an unreliable indicator of genuine engagement.
The more useful metrics are:
That said, open rate still has value as a trend indicator. If yours suddenly drops 15 percentage points, something has changed - deliverability, list quality, subject line effectiveness.
The following figures reflect approximate averages based on data from Mailchimp, Klaviyo, and Campaign Monitor reports published in late 2025 and early 2026. They include MPP-inflated figures, which is the reality of modern reporting.
| Industry | Average Open Rate | CTOR | Average Click Rate |
|---|---|---|---|
| Non-profit / Charity | 52% | 14% | 7.3% |
| Government / Public sector | 49% | 10% | 4.9% |
| Education | 47% | 11% | 5.2% |
| Healthcare | 45% | 9% | 4.1% |
| B2B / Professional services | 42% | 12% | 5.0% |
| Ecommerce / Retail | 38% | 10% | 3.8% |
| SaaS / Technology | 37% | 13% | 4.8% |
| Hospitality / Travel | 35% | 8% | 2.8% |
| Finance | 33% | 7% | 2.3% |
A few things stand out here. Non-profit emails consistently outperform commercial ones - subscribers opt in because they genuinely care. Ecommerce sits in the middle, with strong CTOR when the product-audience match is good. Finance trails because people are suspicious of anything that looks like a phishing attempt.
If you're a Shopify merchant hitting 38% open rate with 3.5-4% CTOR, you're around the industry median. Not bad, but there's plenty of room to improve.
This is the single biggest lever. Your subject line determines whether someone opens or scrolls past. A few things that consistently work:
As email strategist Joanna Wiebe puts it: "The best subject lines make an implicit promise. The email had better deliver on it."
People open emails from people, not brands. "Max at Athenic" will generally outperform "Athenic" as a sender name. If your founder or a recognisable team member is the face of your business, use their name.
Send time still matters, though its impact is often overstated. General guidance:
The honest answer? Test your own list. What works for a SaaS company in London won't necessarily work for a Shopify store selling homeware to Australian buyers.
A clean list outperforms a large list every time. If you haven't removed unengaged subscribers in the past 90 days, you're hurting your deliverability - and therefore your open rates.
Segment out subscribers who haven't opened in 90 days. Send them a re-engagement sequence. If they still don't engage, remove them. Harsh? Yes. Effective? Absolutely.
Sending the same email to your entire list is increasingly a mistake. Subscribers who bought last week, subscribers who haven't bought in a year, and subscribers who've never purchased all want different things.
Basic segmentation by purchase history, product category preference, or engagement level will lift your open rates noticeably - often by 5-10 percentage points.
1. Nail your preview text. The preview text (also called preheader) shows up next to the subject line in most inboxes. Treat it as a second subject line, not an afterthought.
2. Send from a real person. Update your from name to include a human name. Test "Sarah at [Brand]" against just "[Brand]".
3. Audit your send frequency. Too frequent and people disengage. Too infrequent and they forget who you are. Find the sweet spot - most ecommerce brands do well at 2-4 sends per month.
4. A/B test your subject lines systematically. Don't just test randomly. Form a hypothesis ("emotional vs functional framing"), test it, learn from it.
5. Improve your welcome sequence. New subscribers have the highest engagement. A strong 3-5 email welcome sequence sets expectations and builds the habit of opening.
6. Personalise beyond first name. Reference the product they bought, the category they browsed, or the offer they clicked. Behavioural personalisation consistently outperforms demographic personalisation.
7. Clean your list quarterly. Remove hard bounces immediately. Set a schedule for removing chronically unengaged contacts.
Given MPP's impact on open rates, many savvy email teams have shifted their primary KPI to click-to-open rate or simply click rate.
A CTOR of 10-15% is considered good across most industries. Above 15% is excellent. Below 6% suggests your email content isn't matching subscriber expectations - even if people are technically "opening" it.
If you're using Klaviyo for your Shopify store, you can easily segment by CTOR and identify which flows and campaigns are genuinely driving engagement versus which just show high open rates due to MPP.
Tools like Athenic's email marketing features can help you automate segmentation based on engagement signals and send behaviour-triggered flows that reach people when they're most likely to act.
What is a good email open rate in 2026? Given Apple MPP inflation, "good" varies by sector. For ecommerce, 35-45% is typical. More importantly, aim for a click-to-open rate above 10% and a click rate above 2.5%.
Does subject line length affect open rates? Yes, but not dramatically. Keeping subject lines under 50 characters ensures full display on mobile. Ultra-long subject lines (70+ characters) tend to underperform, but the content matters far more than the character count.
How does list size affect open rate? Generally, smaller lists have higher open rates - they tend to be more targeted. As you scale, focus on segmentation to maintain relevance. A 50,000-person list sending to relevant segments will outperform a 50,000-person list getting identical emails.
How often should I email my list? There's no universal answer. Ecommerce brands often do well at 2-4 times per month. If engagement drops and unsubscribes rise, pull back. If people are clicking through and buying, you can push a bit harder.
Should I remove subscribers who don't open? Yes, but do it thoughtfully. Run a re-engagement campaign first ("We haven't heard from you - still interested?"). Give them a clear reason to stay. Then remove those who don't respond. Your deliverability will improve and your remaining metrics will become more meaningful.
Email open rates are useful data points, not the full story. Focus on building a list of people who genuinely want to hear from you, send them content worth opening, and track the metrics that connect to actual revenue. The opens will follow.
For more on building high-performing email flows, read our guide on email marketing conversion rates and the Shopify email marketing playbook.