Apple Mail Privacy Protection Is Inflating Your Opens. Click-Through Rate Is the Metric MPP Doesn't Inflate

Apple Mail Privacy Protection loads the images in an email as soon as it reaches an Apple Mail inbox, whether or not anyone reads it, and every one of those loads counts as an open. On a typical consumer list that can add a lot of points to your open rate. Clicks can't be faked that way, which makes click-through rate the number to trust and the one to work on.

Key takeaways

• Apple MPP pre-loads email images for Apple Mail users who switch it on, and most do when their device asks. Each pre-load registers as an open.

• Open rate is no longer a clean engagement metric for a big share of most lists.

• A high open rate next to a flat click rate doesn't automatically mean the content failed. Many of those opens may never have involved a person.

• If you want to improve email click-through rates, treat clicks and revenue as the main signals and stop benchmarking against opens.

Open a Klaviyo dashboard and open rate is usually the first number anyone reads. It was the go-to engagement metric for years. Since Apple shipped Mail Privacy Protection in September 2021, a large part of it isn't real.

Open tracking works by detecting when a tiny image in the email loads. MPP loads every remote image through Apple's servers as soon as the message arrives, before a human sees it. So every Apple Mail subscriber with MPP turned on looks like an opener. Some senders saw their open rates nearly double overnight when it rolled out.

Why this matters more than it sounds

If opens were only slightly off, it would be a nuisance. The real problem is the decisions still being made on them: which subject line "won", which send time works, whether a win-back flow is doing its job. When a big slice of the opens behind those calls came from a machine, the conclusions are shaky too.

Clicks are different. A click needs a person to tap a link, and MPP touches image loading, not link behavior. If you're trying to improve email click-through rates, you're at least working with a number that hasn't been quietly inflated.

What a high-open, flat-click pattern really means

Say a campaign shows an open rate well above normal and clicks barely move. The old reading was "the subject line worked, the content didn't". That might still be true. It's just as likely that Apple pre-loaded thousands of copies nobody looked at, which explains the strong opens and flat clicks without any content problem at all.

Teams who rewrite body copy to improve email click-through rates after a pattern like that are sometimes fixing something that wasn't broken.

Click-to-open rate is a useful second number

Click-to-open rate divides clicks by opens instead of by deliveries. It's worth watching, with one catch: if MPP inflates the opens in the denominator, the ratio gets distorted too. Treat it as a secondary signal. Clicks against delivered emails, and revenue per recipient, are cleaner.

What this changes about testing

Any A/B test that picks a winner on open rate needs rethinking. If a large share of the list uses Apple Mail, the "winning" subject line may simply be the one that happened to get more pre-loads. Set Klaviyo to choose the winner on click rate or placed-order rate instead.

Subject lines still matter. You just need to judge them with a number MPP can't touch.

A Klaviyo A/B test read on clicks and placed orders, the numbers Apple MPP can't inflate.

How to improve email click-through rates once you trust the number

• Segment on clicks, not opens. Build engaged segments from people who clicked or bought in the last 60 to 90 days. Open-based segments now include a lot of machines.

• One clear action per email. A single, obvious call to action above the fold usually beats a grid of equal links.

• Check placement before blaming content. A message sitting in Promotions gets seen less, and that caps clicks however good the copy is.

See where your emails are actually landing

If part of your open rate was never real, the better question is how many of your emails reached a place where a real person would see them. That's a placement question, and MPP has nothing to do with it.

MailMend is built for Klaviyo and designed to improve how often your campaigns and flows land in Primary rather than Promotions, with nothing to change in your copy or your list. Run it as a native Klaviyo A/B test, on versus off, and read the result on click-through rate and revenue, the numbers MPP doesn't inflate.

Book a demo to see it on your account. The free trial starts after your first A/B test.

Frequently asked questions

Does Mail Privacy Protection affect every subscriber?

Only Apple Mail users who have it switched on, which is most of them, since Apple prompts users to turn it on. How much it skews your numbers depends on how many of your subscribers open in Apple Mail.

Should I stop tracking open rates altogether?

No. Opens are still a rough sign that mail is being delivered. They just shouldn't be treated as a clean engagement metric.

What's the best way to improve email click-through rates?

Make each email's main action obvious, segment by click and purchase behavior rather than opens, and rule out placement problems before assuming the content is at fault.

Can click-to-open rate replace open rate?

It's a useful secondary number, but its denominator includes inflated opens, so it isn't a fully clean substitute for clicks against delivered emails.