What is a good open rate now that tracking is broken?

Reported figures for 2026 range from roughly 27.7% to 44%, depending on the source. A large share of that is Apple Mail Privacy Protection inflating opens that never happened. Treat any specific number as approximate.

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The short answer

  • 2026 industry reporting cites cold email open rates from roughly 27.7% to 44%. The wide spread partly reflects how differently tools account for Apple Mail Privacy Protection.
  • Apple Mail Privacy Protection loads images, tracking pixels too, the moment an email arrives. It registers a false open whether or not the recipient reads the message.
  • Apple Mail is reported to account for close to half of all email opens. That inflation touches a large enough share of most lists to distort an aggregate open rate.
  • Reply rate has become the more trusted performance signal for cold email in 2026. It needs a real person to act, and a pixel preload can't fake that.

Why the range of reported figures is so wide

Different sources reporting 2026 cold email open rates land in different places, from roughly 27.7% up to 44%. That spread is not only noise from different sample sizes or industries. A meaningful part of it reflects how each source's tooling handles Apple Mail Privacy Protection. That feature loads every image in an email, hidden tracking pixels too, the instant it arrives, whether or not a person ever opens it. Some analytics platforms try to detect and exclude these machine-generated opens. Others do not, or do it imperfectly. The result is very different reported open rates for what may be similar campaigns.

The scale of the distortion matters because Apple Mail accounts for a large share of all email opens. Industry reporting puts the figure close to half. So the effect is not a narrow edge case affecting a few recipients. It touches a substantial portion of most B2B and B2C lists, given how widely Apple's Mail app is used on iPhone and Mac.

Reported 2026 open rate figures and what to weigh them against

FigureContext
27.7% - 44%Range across different 2026 benchmark reports
~49% of opens via Apple MailReported share of overall email opens that go through Apple Mail, where preloading applies
Reply rate (~3.4% average, per Instantly's 2026 report)Considered more reliable, since it requires genuine engagement

Figures come from several 2026 benchmark reports; exact numbers vary by report and method. Checked September 2026.

What to actually do given this uncertainty

Stop treating a specific open rate as a precise, comparable number. That's most true when you A/B test subject lines, or try to judge one campaign against another. Use open rate as a rough directional signal at large scale, if at all. Shift primary attention to reply rate. Machines can't pad it the same way, and it shows what real readers do.

If open rate data must be used, segmenting it by likely email client reduces some of the distortion. A list where recipients are mostly on corporate Outlook or Gmail accounts shows a more trustworthy open rate than a consumer-heavy list of Apple Mail users. To split it that way, you need to know or guess the mix of mail apps, and most reports don't show it.

Disclosure: SalesCrew is our product. Its cadence reporting leads with reply rate and bounce and complaint data. Those are the signals Apple Mail Privacy Protection does not inflate. Bounces and unsubscribes feed the suppression list automatically.

A rising open rate is not automatically good news

A jump in open rate can just mean more Apple Mail users got the email, not that more people read it. Cross-check any open rate trend against reply rate before concluding what changed.

Questions

Why does Apple Mail Privacy Protection specifically break open tracking?
It loads every image in an email, hidden tracking pixels too, the moment it arrives, whether or not the reader opens it. That registers a false open for any email that would otherwise show as unopened.
Does this affect every recipient, or only some?
It affects recipients who read email through Apple Mail. Industry reporting cites Apple Mail as close to half of all email opens. The effect is large enough to distort an aggregate open rate, even for lists that are not mostly Apple Mail users.
Is there a way to filter out Apple Mail Privacy Protection opens from the data?
Some analytics tools try to split machine opens from real ones, using timing and other clues. That filtering is imperfect and not universally reliable. It is part of why reply rate has become the more trusted metric.