Open rates after Apple Mail Privacy Protection: what counts

Mail Privacy Protection, or MPP, is an Apple Mail privacy feature on iPhone, iPad and Mac. People enabling it, the vast majority of Apple users, have emails preloaded on Apple servers.

That creates the statistics problem. Email tools measure opens using an invisible pixel: a tiny image loading only when someone opens the message. Apple loads that pixel automatically, often shortly after delivery, whether the recipient reads the email or not. Your email tool sees a real open.

Consequently, virtually every Apple Mail subscriber counts as an opener. Open rates no longer measure interest, mainly the share of Apple users on your list.

Larger than most senders realise. Analyses show MPP artificially inflates open rates by 15 to 35 percent, depending on Apple-user share. That share is substantial: Apple Mail accounted for around 58 percent of worldwide email opens in early 2025, according to Litmus.

Consider an average Belgian small-business list: 1.000 subscribers and a reported 50 percent open rate. If roughly half use Apple Mail and those opens are mostly automatic, you really only know whether the non-Apple half opened. For hundreds of supposed openers, there is no proof they ever saw the message.

Benchmarks become unreliable too. The global average open rate in 2025 is around 42 percent, calculated using the same inflated measurement. Comparing yourself with it says little.

Should you ignore opens entirely? No. Read them differently: as rough trend indicators rather than performance figures.

• Trends within your list remain visible. Distortion is more or less constant. A fall from 50 to 35 percent across several months indicates a real issue.
• A sudden dive often signals delivery problems. In spam folders, automatic Apple opens stop loading too. A sharp drop therefore warns about sending reputation.
• Large differences between subject lines remain indicative. A subject scoring 15 percentage points higher probably genuinely performs better, despite inaccurate absolute figures.

Use opens like a compass a few degrees off. It still shows direction, but cannot navigate precisely.

Shift attention to statistics measuring genuine actions:

For reference, average click-through across millions of campaigns is around 2 percent, with large sector differences. Low beside 40 percent opens, but useful: security software can open links automatically too. Filter these clicks where possible and check for genuine sessions and conversions afterwards.

Close the chain with newsletter campaign labels and inspect GA4 key events such as quote enquiries or orders from email. Then measure revenue, not pixels.

Adjust a few habits now that opens are unreliable:

1. Test subject lines on clicks, not opens. Let your email tool choose A/B winners by click-through rate.
2. Clean your list using clicks. Someone clicking nothing for a year is probably inactive even if recorded as an opener. Send a reactivation email before removing them.
3. Do not blindly trust automatic resends. The classic tactic of sending a second version to non-openers misses its target: many Apple users are wrongly recorded as openers and never receive the second chance.
4. Segment on meaningful behaviour. Build segments around clicks, purchases and website visits rather than opens.

This shifts email reporting from flattering egos to usable insights. Less impressive percentages, but real ones.

Newsletters are one link: every step from email to site to enquiry must be measurable. Use the free marketing scan to check your website and measurement, discovering within minutes where you miss the biggest opportunities.