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.
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 preloads images, including tracking pixels, the moment an email is received. 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 requires genuine engagement that automated pixel preloading cannot fake.
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 preloads all images in a received email, including invisible tracking pixels, the instant the message 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
| Figure | Context |
|---|---|
| 27.7% - 44% | Range across different 2026 benchmark reports |
| ~49% of opens via Apple Mail | Reported 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 compiled from multiple 2026 industry benchmark sources; exact numbers vary by report and methodology, checked September 2026.
What to actually do given this uncertainty
Stop treating a specific open rate as a precise, comparable number. That applies especially to A/B testing subject lines, or judging one campaign against another with any confidence. Use open rate as a rough directional signal at large scale, if at all. Shift primary attention to reply rate. It is far less exposed to automated inflation, and it reflects genuine recipient engagement.
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. That segmentation requires knowing or estimating the client mix, which most reporting tools do not surface directly.
Disclosure: SalesCrew is our product. It shows open rate beside reply rate and bounce/complaint data in cadence reporting. It presents open rate with the understanding that Apple Mail Privacy Protection affects its accuracy for a meaningful share of most lists. It does not filter or correct for this distortion. That limitation is inherent to how open tracking works, not specific to any one tool.
A rising open rate is not automatically good news
Questions
- Why does Apple Mail Privacy Protection specifically break open tracking?
- It preloads all images in an email, including invisible tracking pixels, the moment the message is received, whether or not the recipient opens or reads 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 flag or separate machine-generated opens from genuine ones, using timing and other signals. That filtering is imperfect and not universally reliable. It is part of why reply rate has become the more trusted metric.