What is a good email open rate?

How email open rate is calculated

Open rate is unique opens divided by emails delivered, times 100. Delivered means the emails that actually reached an inbox, so it strips out bounces from the total you sent. Unique opens count each recipient once, even if one person opens the same email five times, so the rate measures how many distinct people the email reached, not how many views it racked up.

A worked example: send a campaign to 25,000 addresses, 1,000 bounce, and 24,000 are delivered. If 6,000 of those register an open, your open rate is 6,000 divided by 24,000, which is 25 percent. Note the denominator is delivered, not sent. Using the larger sent figure would understate the rate and mix a deliverability problem in with an engagement one, which are two different things to fix.

The mechanic behind the count matters for everything that follows. An open is recorded when a tiny invisible tracking image, a single pixel, loads as the email is displayed. That worked well enough for years, but it is exactly the part that privacy features now interfere with, which is why the number has drifted away from reality.

What counts as a good open rate

There is no universal good number. The common convention is that a reported open rate somewhere in the 20 to 40 percent range is broadly typical for marketing email, but that band is wide for a reason: open rate depends heavily on your industry, how clean and engaged your list is, and the kind of email you send. A welcome email to people who just subscribed will read far higher than a monthly newsletter to a list you bought two years ago.

A few patterns hold as rough conventions rather than rules:

• Transactional and triggered emails (order confirmations, password resets, welcomes) tend to report the highest opens, because the recipient is expecting them and acted to set them off.
• Engaged-list newsletters sit in the middle of the range, and a steady figure there usually says more about list hygiene than about any one subject line.
• Cold or re-engagement sends report the lowest opens, which is expected and not in itself a failure.

So the honest version of "what is good" is relative, not absolute: a good open rate is one that holds steady or improves on your own past sends to a comparable audience. Chasing a borrowed industry figure is less useful than watching your own trend, and as the next section explains, even your own trend has to be read with care now.

Why open rates are now unreliable

The single most important thing to know about open rate is that it overstates reality. Apple's Mail Privacy Protection, introduced in 2021, pre-loads email content, including that invisible tracking pixel, on Apple devices whether or not the recipient ever opens the message. Because the pixel firing is what email platforms read as an open, those pre-loads count as opens that did not happen. A large share of all email is read in Apple Mail, so this inflates reported open rates across the board.

The practical effects are worth spelling out:

• Reported open rates jumped after 2021 for many senders without any real change in behaviour, so year-on-year comparisons that cross that line are not like for like.
• Open-based automations, such as "resend to anyone who did not open", now misfire, because some recipients are marked as openers who never saw the email and others the reverse.
• Open rate as an audience-engagement filter is blunt, so segmenting on clicks is more dependable than segmenting on opens.

None of this makes open rate useless. A sharp drop in your own open rate can still flag a deliverability problem worth investigating. But it does mean you should not treat the number as a precise count of human readers, and you should not lean on it as the headline measure of whether a campaign worked.

What moves open rate

Setting the privacy caveat aside, the inputs that genuinely change how many people open an email are well understood. They are mostly about trust and relevance at the inbox, before anyone reads a word of the body.

• Sender name and reputation. Recipients decide whether to open based on who it is from before anything else. A recognised, consistent sender name and a healthy sending reputation do more for opens than any subject-line trick.
• Subject line and preview text. These are the only copy most people see before deciding. Specific and honest beats clickbait, which lifts opens once and burns trust after.
• Send time and frequency. Landing when your audience checks email, and not emailing so often that you become noise, both affect how many bother to open.
• List hygiene. The biggest quiet lever. Removing dead and unengaged addresses lifts both deliverability and your reported open rate, because you are no longer dividing by people who will never open. Watch the trade-off against net list growth, since aggressive pruning shrinks the list it cleans.

Notice that most of these levers also help the metrics that actually count. A trusted sender, a relevant subject and a clean list do more than lift reported opens. They get more of the right people through to the click and the conversion.

What to track instead

Because opens are inflated and noisy, the reliable read on a campaign comes from what people do after they open. Two metrics carry the weight:

• Click-through rate is clicks divided by delivered emails. A click is a deliberate action that image pre-loading does not fake, so it is a far cleaner signal of real interest than an open. Click-to-open rate, which divides clicks by opens, is also common, but since the opens denominator is now distorted, the cleaner version uses delivered.
• Conversion rate is the share of delivered emails that drove the action you actually wanted: a purchase, a sign-up, a reply. It is the bottom line, past opens and clicks, and the only metric that ties an email send to a result you care about.

That last one is where to anchor your judgement of a campaign. Work it out with the email conversion calculator: enter the emails delivered and the conversions they drove, and it returns the share that converted, the figure that survives the open-rate noise. Use open rate to spot big swings and deliverability trouble, use click-through to gauge interest, and use conversion to decide whether the campaign earned its place.

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