Email click rate:
how to calculate it and how not to misread it

What the click rate is trying to tell you

A click rate shows how many of the people you reached did something with the message. Opens say the subject line worked; clicks say the content did. Because it needs an action that goes beyond opening, it is one of the more reliable signals of interest in an email programme.

The number has several close relatives that are easy to confuse. Click-through rate uses delivered emails as the base, click-to-open rate uses opens as the base, and some platforms quote total clicks rather than unique people. Always check which one a report is showing before comparing it to a benchmark.

The number is also sensitive to what you ask people to do. A newsletter with five stories spreads attention across many links, while a single-offer email concentrates it. Neither is better by default, so judge each type against its own history and its own purpose, such as reading, booking or buying.

The formula and its denominator

Using sends rather than delivered messages understates the rate when your list has bounces. A cleaner list brings the two numbers closer together.

Platforms that follow privacy rules may also strip or bundle some click data. If your tool reports far fewer clicks than the visits your site analytics attribute to the campaign, compare how each defines a session and a click, and trust the site analytics for conversions.

Worked example from a single campaign

One campaign, three honest percentages. The 3% figure counts people; the 4.5% figure counts activity, including repeat clicks from the same reader. Use the first when comparing campaigns, and keep the second in mind for how engaged the engaged readers are.

If this campaign is the third in a series with click rates of 2.4% and 2.7%, a 3.0% result is a modest improvement. With only 6,000 delivered emails, though, a swing of 0.3 percentage points is 18 people, so wait for a second or third send before declaring that the new subject style or layout caused it.

Click rate against click-to-open rate

CTOR isolates the quality of the content from the subject line, which is useful when testing layouts. Be careful with it, though: opens are tracked with a hidden image and are inflated by some privacy features and understated by clients that block images, so CTOR is a noisy ratio.

Use CTOR when you are changing the body of an email and want to hold the subject line constant, and use the click rate on delivered mail when you care about the whole funnel from inbox to action.

What can distort the figure

• Security scanners that follow every link in a message can register clicks within seconds of delivery, long before a person reads it.
• Counting total clicks instead of unique clickers rewards long newsletters with many links.
• A small list gives a jumpy rate: one extra click on 200 delivered emails moves it by half a percentage point.
• List composition: a campaign sent only to recent buyers will outperform one sent to a cold list, with no difference in copy.

Device matters too. On a phone, tap targets that are too small or buttons that sit below a long image will quietly cost clicks. If most of your audience reads on mobile, preview each send on a small screen before it goes out.

Reading clicks at the level of each link

The campaign percentage hides which part of the message did the work. Most platforms break clicks down by link, and that report often teaches more than the headline rate. A hero button near the top usually collects the bulk of clicks, a text link near the bottom collects a few, and an unsubscribe link collects some from people who had already decided to leave.

Check whether the click went to the page you expected. If one link produces many clicks but the landing page has a short visit time, the issue is the page, not the email. Pair the rate with the conversion count on your site to see what the clicks turned into.

Using the rate to decide what to change

A low click rate with a healthy open rate points at the body of the email: the offer, the position of the link or the clarity of the button text. A low click rate with a low open rate points further up the chain, at the subject line, sender name or send time.

Change one element at a time and test with a sample large enough to matter. Aim for several hundred clicks per variant before treating a difference as real, and let the sums be done by a calculator rather than eyeballed from a dashboard percentage.

Segment before comparing campaigns

A single list is usually several audiences. New subscribers in their first month click far more than people who joined two years ago and have not opened for months. Mixing them makes every campaign look like an average of two different behaviours.

• Split by subscriber age, such as under 30 days and over 180 days.
• Split by past behaviour: recent clickers against never-clickers.
• Split by source, since people who signed up for a discount behave differently from those who asked for a newsletter.

Report the rate for each segment, and keep a rolling baseline of the last five or six sends so one unusual week does not become the new normal.