Email Click-Through Rate Calculator

The arithmetic

Click-through rate is unique clicks divided by emails delivered: clicks ÷ delivered × 100. It measures how many recipients took an action, not how many saw the message.

Because it requires a deliberate click, it is not distorted by image pre-fetching the way open rate is.

That makes it the most reliable engagement metric available in email, and the one segmentation and automation should be built on.

Numbers on it

11,820 delivered emails producing 300 unique clicks is a 2.54% click rate.

At an 8% click-to-purchase conversion that is 24 orders, $1,392 of revenue and $765 of contribution at a 55% margin.

Improving the click rate to 3.5% produces 414 clicks, 33 orders and $1,052 of contribution, 38% more from the same list and the same send.

Because email has no media cost per send, that improvement is close to pure gain, which is why click rate improvements are worth more in this channel than in any paid one.

What it does not tell you

Unique clicks and total clicks differ, and reporting the second inflates the figure by whatever share of recipients clicked more than once. Both are legitimate and they are not comparable.

A high click rate on a poorly targeted campaign can also produce clicks that do not convert, so the metric is only meaningful alongside what happened after the click.

What follows from it

Use clicks rather than opens for engagement segmentation, re-engagement triggers and list hygiene. It is the one signal that reflects a real human decision.

Then judge campaigns on revenue per email sent rather than on click rate, since a campaign can improve clicks and reduce revenue by driving traffic to the wrong place.

Why click rate rewards fewer links rather than more

Adding links raises the chance of a click and dilutes the destination. A campaign with one clear action typically converts a higher share of its clicks than one offering six.

The measurable version of this is click-to-purchase conversion rather than click rate: a focused campaign frequently produces fewer clicks and more orders.

That is why optimising for click rate alone tends to make campaigns worse. The metric to optimise is contribution per send, and clicks are an input to it rather than a substitute for it.

Mobile share is the other variable worth knowing, since around two thirds of opens now happen on a phone and a layout that requires pinching to find the link suppresses clicks regardless of how good the offer is.

Testing on a real handset rather than a desktop preview catches most of it, and the difference in click rate between a well-built mobile layout and a poor one is routinely several percentage points.

Dark mode rendering is the other common silent failure, since a design built on a white background can become unreadable when the client inverts it and the recipient simply deletes the message.

Buttons outperform text links substantially on mobile, and the difference is large enough that it is worth checking every template for links that are still plain text.