Open rate used to be a genuinely useful early-funnel signal. Since Apple's Mail Privacy Protection (MPP) went mainstream, it's become a number that's technically still tracked, still reported by every sending platform, and substantially less trustworthy than most senders realize.
Apple Mail Privacy Protection pre-loads the tracking pixel embedded in an email's HTML for nearly every message that reaches an iOS or Mac Mail inbox — regardless of whether the recipient ever actually opens it. That pixel load registers as an "open" in most sending platforms' analytics, whether or not a human ever looked at the email. One estimate puts roughly 50% of recorded opens on Apple Mail as this kind of phantom, pixel-triggered read rather than a genuine one.
It gets worse before it gets better: tracking pixels themselves carry a deliverability cost. One 2026 dataset found that turning off open tracking entirely more than doubled reply rate — from 1.08% to 2.36% — because tracking pixels are exactly the kind of embedded remote content that spam filters weigh negatively. The metric that was supposed to measure engagement was quietly suppressing the metric that actually matters.
The practical implication: a campaign showing a 45% open rate and a 1% reply rate isn't necessarily doing something right at the top of the funnel and wrong further down — the open rate itself may simply be unreliable, especially on Apple-heavy recipient lists.
Even with the caveat above, open rate still gets reported and compared, so here's where 2026 numbers land — both on raw, unmanaged sends and by industry.
| Send condition | Open rate |
|---|---|
| Raw/unmanaged cold list — good | 15–25% |
| Raw/unmanaged cold list — best-in-class | ~30% |
| Deliverability-managed sending (warmup, rotation, verified data) | Substantially higher, sometimes 70%+ on individual accounts |
| Industry | Typical open rate range |
|---|---|
| SaaS / Software | ~46% |
| Legal services | 36–40% |
| Real estate | 35–40% |
| Healthcare & MedTech | 33–38% |
| EdTech / e-learning | 32–37% |
| Hospitality & travel | 30–35% |
| Marketing & advertising | 28–34% |
| Manufacturing | 28–33% |
| IT services & MSPs | 27–32% |
| Financial services | 19–25% |
| Banking | 19–22% |
| Consumer goods | ~19% |
Note the SaaS figure here (~46% open rate) against the same industry's reply rate from the reply-rate benchmarks (2-4%) — a large gap between a healthy-looking open rate and a modest reply rate is normal for this vertical specifically, not necessarily a sign something's wrong.
Individual campaign open rate is unreliable. Open rate trended over time, across a large enough sample, on the same list and domain, is still a usable early-warning signal for one specific thing: a sudden, sharp drop in open rate — even accounting for MPP inflation — often means a deliverability problem (a domain landing in spam, an authentication failure) rather than a genuine drop in recipient interest. The absolute number matters less than the shape of the trend line.
Positive reply rate, meetings booked, and revenue per email sent are the three metrics that actually correlate with pipeline outcomes — see the companion piece on positive reply rate vs total reply rate for how to separate genuine interest from noise. Open rate is worth glancing at as a trend-line deliverability canary, not optimizing toward as a campaign goal.
As a trend-line deliverability signal, yes — a sudden sharp drop often points to a deliverability problem. As a measure of individual campaign performance or recipient interest, no — Apple Mail Privacy Protection pre-loads tracking pixels for roughly half of Apple Mail opens regardless of whether the recipient actually reads the email, which inflates and distorts the number.
One 2026 dataset found reply rate more than doubled after disabling open tracking (1.08% to 2.36%), because the tracking pixel itself is exactly the kind of embedded remote content spam filters weigh against a sender.
15-25% is a good raw, unmanaged-list result and around 30% is best-in-class, though these figures are inflated by Apple MPP pixel pre-loading. By industry, SaaS tends to run highest (around 46%) and financial services/banking lowest (19-25%).
Positive reply rate, meetings booked, and revenue per email sent — all three track much closer to actual pipeline outcomes than an inflated, pixel-based open count.
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Written by
Scott Holmes
AI systems consultant based in Barrie, Ontario. Founder of Pinnacle Tech Projects. Has watched open-rate tracking degrade in reliability across client accounts since Apple Mail Privacy Protection rolled out.
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