Business Email

Email open rate calculator

Emails sent
Delivered
Unique opens
Unique clicks
Unsubscribes
Open rate 40 %
Opens ÷ delivered, not ÷ sent
Click rate 6 %
Click-to-open rate 15 %
Delivery rate 98 %
Unsubscribe rate 0.204 %
Bounces 200
Opens are unreliable · judge on clicks

Open rates have been unreliable since Apple Mail Privacy Protection began pre-loading tracking pixels in 2021. Treat opens as directional and judge campaigns on clicks and revenue.

Open rate is unique opens divided by delivered emails, not by emails sent: 3,920 opens from 9,800 delivered is 40%. Click rate uses the same denominator, so 245 clicks from 4,900 delivered is 5%. Bounces must come out of the denominator or every rate is understated.

How to calculate email rates

1 Enter emails sent and how many were actually delivered — the gap is your bounces.
2 Add unique opens and unique clicks, not total ones.
3 Read open rate, click rate and click-to-open together; the tab only changes which is headlined.
4 Weight your judgement toward clicks. Opens are no longer reliable enough to decide anything on their own.

Since Apple Mail Privacy Protection started pre-loading images for a large share of recipients, open rates have been inflated by an unknown and shifting amount. A jump in opens can now mean nothing more than a change in the mix of mail clients on your list, which is why the first check on any apparent improvement is whether clicks moved too. Click-to-open rate inherits the same contamination in its denominator, so the two genuinely reliable numbers left are click rate against delivered, and revenue per email sent. Unique clicks rather than total clicks is the convention worth keeping, because total clicks double-count one enthusiastic reader opening three links. The other number to watch is the ratio between click rate and unsubscribe rate: a campaign that lifts clicks while also lifting unsubscribes is borrowing from the list rather than earning from it, and over enough sends that trade shows up as a shrinking audience and a rising cost per click. Delivery rate is the early warning underneath all of it, because a rate drifting below the mid-nineties usually means old addresses or a reputation problem rather than anything about the content.

What people use it for

  • Reporting on a newsletter send
  • Comparing subject line tests
  • Tracking list health over time
  • Spotting a deliverability problem early
  • Reporting real engagement on a campaign
  • Comparing content or layout tests
  • Deciding whether send frequency is too high

Questions

Delivered. Including bounces in the denominator understates every rate.

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