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Why your tracker says 47 opens when 3 people read it

One email, one prospect, 47 reported opens. The culprits are Apple's privacy pre-fetch, corporate scanners and Gmail's image proxy.

N
Nate Summers
Co-Founder, Outsolvi
Published August 2, 20265 min read718 words
Quick Answer718 words · 5 min read

Most of those 47 opens came from machines, not people. Apple Mail Privacy Protection pre-fetches tracking pixels on Apple's servers, corporate security scanners like Mimecast and Proofpoint open every link and image to check for malware, and Gmail routes images through its own proxy. Between them, raw open counts on B2B lists can run far above the number of people who actually read.

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Table of contents7 sections
  1. Where do the extra opens come from?
  2. What is Apple Mail Privacy Protection doing?
  3. What do corporate security scanners do?
  4. What about Gmail?
  5. How wrong are your numbers, really?
  6. How do you find the real reads?
  7. What should you do this week?
Topics:email trackingOutlook email trackingGmail email trackingAI email insightsfollow-up automationawareness

Key takeaways

  • →An open is counted whenever the tracking image loads, and machines load tracking images far more often than people do.
  • →Apple Mail Privacy Protection makes every Apple Mail reader who switches it on look like an opener, and Apple Mail accounted for 62 percent of the opens Litmus measured in July 2026.
  • →Corporate security scanners make most clicks at large companies (80 to 95 percent, per Omnivery), and one scanner can fire many opens and clicks within seconds of delivery.
  • →A raw open rate can overstate real reads by a wide margin, and how wide depends on your list.
  • →Grading each open by timing, network origin, and client signature separates human reads from machine noise. Counting alone can't.

You sent one email to one company. Your tracker says 47 opens. Did anyone really read it 47 times?

Almost certainly not. In a case like this, a handful of people read it and machines did the rest. That's not a bug in your tracker. It's how basic open counting works, and it's why raw open numbers on B2B lists usually run well above real reads.

Where do the extra opens come from?

Machines. Most inflated opens on a B2B email come from software that touches your message before a human ever sees it, or instead of one.

An open gets counted when a tiny tracking image in your email loads. The catch: people aren't the only thing that loads images. Privacy features load them. Security scanners load them. Mail providers load them on the reader's behalf. A basic tracker counts every single load as a read, because it has no way to tell them apart.

Three sources cause most of the noise.

What is Apple Mail Privacy Protection doing?

It fetches your tracking pixel on Apple's servers, whether the recipient reads your email or not. So every Apple Mail recipient looks like an opener, including the ones who deleted your message without a glance.

That matters because Apple Mail is huge: it accounted for 62 percent of the opens Litmus measured in July 2026. If half your list reads mail on an iPhone or a Mac with MPP on, half your list registers an open automatically. Not because they're interested. Because Apple pre-loaded the image. There's a fuller breakdown in our glossary entry on Apple Mail Privacy Protection.

What do corporate security scanners do?

They open everything. Tools like Mimecast, Proofpoint, and Microsoft Defender open every link and image in incoming email to check for malware, and each of those checks can register as an open or a click in your tracker.

This isn't rare, especially on enterprise lists: at large companies, Omnivery found 80 to 95 percent of clicks came from scanners. And a single scanner can fire many opens and clicks within seconds of delivery. That's how the headline happens: one email, three real readers, one thorough scanner, 47 reported opens.

The tell is timing. A real person doesn't open your email two seconds after you hit send and click every link in it at once. A scanner does exactly that.

What about Gmail?

Gmail serves images through its own proxy, so Gmail opens arrive looking very similar to each other from the outside. That doesn't make them fake. It makes them harder to read.

A proxy open needs the full signal picture: when the request fired, what it looks like, what happened around it. Blindly counting every Gmail open inflates your numbers. Blindly discarding them deletes real readers. Both approaches get it wrong, just in opposite directions.

How wrong are your numbers, really?

How far a raw open rate runs from reality depends on your list, but on lists with many iPhone readers and enterprise inboxes it can be mostly machines.

Think about what that does to your week. You call the prospect who "opened five times" and reach someone who never saw your email. You skip the quiet thread where a buyer actually read your proposal twice. The number you use to pick your next move is pointing you at machines.

How do you find the real reads?

Grade every open instead of counting every open. Outsolvi scores each one from Tier 1, a high-confidence human read, down to Tier 5, a bot or scanner, using request timing, network origin, and the client's signature. Opens below a 25 percent confidence floor don't count at all.

Every classification rule's precision is recomputed weekly from real user corrections. The grading logic is public on our methodology page, and the scoring itself is explained on the confidence scoring feature page.

You don't have to take the grade on faith either. The Diagnose view lets you click any open and see exactly why it counted or got filtered. No black box.

What should you do this week?

Stop treating the raw count as truth. Then check where your current tool stands. Our comparison hub shows which trackers filter machine opens and which ones just count everything.

If you'd rather test with your own sends, Outsolvi is $7 a month billed yearly, with a 14-day free trial and no credit card required. Send your normal emails for two weeks and put the graded numbers next to the raw ones. The gap between those two columns is usually the whole story.

Stop trusting raw open counts.

Outsolvi grades every open, so you know who read your email and which opens were an Apple Mail preview or a security scanner. 14-day free trial, no credit card.

Try Outsolvi free$7/mo yearly · 14-day trial · no credit card

Frequently asked questions

Direct answers to the questions readers of this article most often ask.

Is my email tracker broken if it shows dozens of opens?+

No. It's doing exactly what it was built to do: count every load of the tracking image. The problem is that privacy tools, security scanners, and image proxies also load that image. A basic counter can't tell a scanner from a person, so it reports everything as an open.

Should I just ignore open data completely?+

No. Real opens still carry useful signal, especially repeat opens on the same thread and opens paired with a click. The fix isn't ignoring opens, it's grading them, so you act on the human ones and skip the machine ones.

Why not just subtract Apple Mail opens from the total?+

Because some Apple Mail opens are real reads. Apple pre-fetches the pixel whether the person reads or not, so an Apple open is ambiguous, not automatically fake. Throwing them all away deletes real readers. That's why grading beats blanket rules in either direction.

How does Outsolvi decide which opens count?+

Every open is graded from Tier 1, high-confidence human, to Tier 5, bot or scanner, based on request timing, network origin, and client signature. Opens below a 25 percent confidence floor are excluded from your stats. The model is checked weekly against real user corrections, and you can click any open in the Diagnose view to see why it counted or got filtered.

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Nate SummersCo-Founder, Outsolvi

Writing about email tracking, follow-up timing, and AI signals for sales teams who hit send on real pipelines. Outsolvi is built natively for Outlook and Gmail, with AI follow-up insights from $7/mo billed yearly.

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