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 2 to 3 times higher than 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. Litmus puts it at roughly 58 percent of email client share. If half your list reads mail on an iPhone or a Mac, 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](/glossary/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. Around 15 to 25 percent of B2B recipients sit behind one of these scanners. And a single scanner can fire many opens and clicks within seconds of delivery. That's the math behind the headline: 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?
On typical B2B lists, raw open rates run 2 to 3 times inflated. A reported 70 percent open rate is often 25 to 35 percent real reads.
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.
The model agrees with human-rated classifications 95 to 98 percent of the time, and Tier 1 false positives run under 2 percent. The grading logic is public on our [methodology page](/methodology), and the scoring itself is explained on the [confidence scoring](/features/confidence-scoring) feature page.
You don't have to take the grade on faith either. The [Diagnose view](/features/diagnose-open-evidence) 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](/compare) 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.