Email Newsletter Performance Benchmarks by Industry

Search for the average email open rate and the results will not agree with each other, and the reason has nothing to do with bad data. Two reputable benchmark reports can look at the same industry in the same year and land on numbers that seem to describe different channels entirely. The real explanation is that platforms measure opens differently: some strip out opens triggered by Apple Mail Privacy Protection (MPP), others count every one of them. Apple's proxy servers load the tracking pixel in every incoming message before a person ever sees it, which registers as an open whether the email gets read, ignored, or deleted without a glance. Roughly half of all email opens happen on Apple Mail, and the large majority of those accounts have MPP switched on, so the share of fabricated opens in a typical list is not small. It can swing a reported open rate by double digits on its own, so two honest benchmark reports can disagree without either one being wrong.

Brevo's 2026 Marketing Orchestration Benchmark deals with this by publishing both numbers side by side rather than picking one, labeling its tables "Open rate" and "Open rate (incl. Apple MPP)" so a reader can see the gap directly instead of guessing at it. That transparency is rare. Most benchmark reports publish a single figure without specifying which side of the MPP line it falls on. A marketer comparing their own numbers against an industry average has no way of knowing if they are comparing like with like. The fix is not complicated: find out which number a given report is showing before treating it as a reference point. Everything that follows in this piece, from the industry rankings to the deliverability data, only makes sense once that distinction is in hand.

What MPP does to open rate as a metric

MPP did not break email marketing. It broke one specific use of a single metric: open rate's reliability as a content-quality signal, while its usefulness as a deliverability signal remains. Open rate used to serve two separate jobs: a signal of content quality (are people interested enough to open this) and a signal of deliverability (is this email reaching the inbox at all). MPP has made the first job unreliable and left the second mostly intact, so the two uses need to be pulled apart before a benchmark can tell a marketer anything useful.

As a content signal, open rate no longer means what it used to. A reported rate that holds steady or even climbs month over month might reflect nothing more than a growing share of Apple Mail subscribers on the list rather than a single additional person actually reading the email. As a deliverability signal, open rate still carries weight. Bot-triggered opens from Apple's servers fire consistently as long as mail keeps landing in the inbox, so a sudden 10-point week-over-week drop in open rate still points reliably to a delivery problem rather than a content one, because those automated opens would keep arriving unless the mail itself stopped arriving.

Filling the gap that MPP left behind are metrics that depend on an actual human clicking something: click-through rate (CTR), click-to-open rate (CTOR), and reply rate. None of these can be faked by a prefetch server, because none of them fire until a recipient takes an action a bot has no reason to take. Brevo's 2026 benchmark puts the top senders at a 5.22% CTR, a number that functions as a genuine ceiling precisely because nothing about MPP can inflate it. CTOR does something slightly different: by measuring clicks as a share of opens rather than as a share of total sends, it strips out list-size variation and shows, more directly than either CTR or open rate can, whether the people who opened a message found it worth acting on. Before comparing a program's own numbers against any external figure, check which platform produced that figure and whether it filters MPP opens. Measuring an MPP-inclusive rate against a filtered benchmark will make a program look stronger than it is.

Why government, nonprofit, and education senders outperform commercial industries

Government and Public Administration tops Brevo's 2026 benchmark at a 34.19% MPP-adjusted open rate, and it also posts the lowest unsubscribe rates in the dataset, alongside Nonprofit & NGO. Nonprofit and NGO senders follow close behind, with an open rate well above the cross-industry average on Brevo's numbers; MailerLite's own rankings, measured on an MPP-inclusive basis, put nonprofits third, trailing only Religion and Hobbies, which puts the category near the top regardless of which platform or methodology is doing the measuring.

A subscriber to a government agency's list or a nonprofit's newsletter typically opted in because they care about the cause or need to stay informed, often distinct from someone who clicked through a sweepstakes entry or a discount popup. There is no dead weight in the denominator, no block of names who signed up once for a coupon and never engaged again. Healthcare runs on a related logic. Appointment reminders, test results, and prescription notifications carry a kind of urgency that makes opening the email close to mandatory rather than optional, and healthcare benchmarks consistently sit above the cross-industry average for exactly that reason. Education follows the same pattern through a different mechanism: students, parents, and alumni hold an institutional relationship with the sender that grants it standing most commercial senders never earn, and Brevo's data shows Education beating the commercial average on both open rate and CTR.

It is list quality baked in at the point of opt-in. A list built on necessity or genuine interest will outperform a list built on promotional incentive almost regardless of what the email itself says.

Retail and ecommerce at the bottom of open-rate tables

At the other end of the table sit retail and ecommerce, and the gap between their numbers and government's or nonprofit's is the predictable output of a different acquisition model. Brevo's 2026 data places Ecommerce at 15.50% open rate on an MPP-adjusted basis, the lowest figure in the whole dataset, with Retail only marginally ahead of it; Hospitality & Food Services, in the same commercial cluster, posts the highest unsubscribe rate Brevo records. MailerLite's numbers tell a similar story on the click side: ecommerce CTR sits among the lowest categories it tracks.

The mechanism is volume. Retail and ecommerce brands commonly send multiple campaigns a week to lists built through broad, low-friction signups, discount popups, checkout opt-ins, referral incentives, rather than through genuine topical interest. Subscribers acquired this way tend to treat promotional email the way they'd treat a catalog left on the doorstep: worth a glance, rarely worth a click, a pattern that looks nothing like the behavior seen in mission-driven or B2B lists. Each individual send also carries a lower signal-to-noise ratio than a nonprofit's monthly update or a government agency's policy notice, because the recipient has learned, over dozens of prior sends, that most of what arrives is promotional rather than essential.

None of this means retail email underperforms as a channel. Personalized and behavioral messages within ecommerce, cart abandonment emails and personalized product recommendations in particular, can reach open rates far above the broadcast newsletter average, Qualtir's data shows. The broadcast benchmark that shows ecommerce at the bottom of the table is averaging across a mix that includes these much stronger-performing flows, and the published number conceals a wide range of outcomes underneath it. A low-to-mid-teens open rate is the baseline the category operates from, not a sign that something has gone wrong, and the metric that reveals whether the content is working is CTOR, which shows whether the people who did open the email found something worth acting on.

CTR and CTOR across industries where content drives behavior

Rank industries by CTR instead of open rate and the leaderboard changes almost completely, and that reshuffling is the clearest evidence in the whole dataset for why open rate alone cannot be trusted as a performance signal. MailerLite's 2026 dataset puts Legal first at a 4.90% CTR, driven by contract updates and compliance deadlines that give the recipient a reason to click rather than just skim. Manufacturing follows, powered by spec sheets and quote requests, with Media close behind on the strength of curiosity-driven, content-rich formatting.

Brevo's CTR rankings point toward a similar conclusion from a different angle: Government & Public Administration leads, with Nonprofit and Energy & Utilities also near the top, categories where the email itself usually contains something the recipient has to respond to or act on. The pattern across both datasets is consistent. High CTR tracks with emails built around a concrete, necessary action, a deadline, a required response, a document that needs reviewing, rather than with purely promotional or awareness-oriented content.

CTOR sharpens the picture further by measuring clicks as a share of opens instead of as a share of total sends, which removes list-size distortion from the comparison entirely. Brevo's 2026 benchmark gives readers a baseline for this figure that holds steady regardless of how much MPP noise sits inside the open-rate number it's compared against. The practical use of that baseline is diagnostic. If a program's open rate looks healthy, possibly because MPP is inflating it, but its CTOR comes in below the sector median, the problem lives inside the email itself: the subject line and the deliverability are not at fault, the content, layout, or call-to-action is. That one comparison, open rate against CTOR within the same report, does more to locate a real problem than either number does alone.

Deliverability: the gate that determines whether benchmark comparisons are even valid

Every comparison discussed so far assumes the email actually reached an inbox, and that assumption does not hold evenly across industries or senders. Two companies in the same category can run campaigns that look similar on paper and still be measuring themselves against entirely different starting conditions, because one of them is losing a much larger share of its sends to spam folders or outright blocks before a single recipient ever has the chance to open anything.

CleanList's 2026 deliverability benchmark puts the global average inbox placement rate at 83.1%. Roughly one in six emails sent never reaches the person it was addressed to. The spread across industries is wide, with real estate the lowest and nonprofit the highest. Real estate's weak placement traces to a specific structural cause: high agent turnover ages contact databases quickly, and the industry's dependence on purchased and scraped contact lists introduces invalid addresses from the outset, which drags placement rates down before a single campaign goes out. Spam complaint rates carry direct enforcement weight now. Treating them as background noise rather than a hard threshold is a mistake, given that mailbox providers and regulators act on them directly.

The practical move is to check inbox placement before comparing CTR or CTOR against any external benchmark. If placement sits materially below the sector average, weak engagement numbers are a delivery problem wearing the costume of a content problem, and no amount of subject-line testing or redesign will fix what is actually a list-hygiene or sender-reputation issue. Every figure discussed earlier in this piece, the 34.19% open rate for Government, the 5.22% CTR ceiling, the CTOR baselines that reveal weak content, only means what it appears to mean once inbox placement is confirmed as roughly comparable between the sender and the benchmark it's being measured against. Deliverability is the condition that makes every other comparison in this piece valid.