Email click rate is the percentage of delivered emails that led to at least one link being clicked. The usual formula is unique clickers divided by emails delivered, multiplied by 100: if 4,000 emails were delivered and 120 different people clicked something, the click rate is 3%.
How email click rate works
When you send a campaign, your email platform quietly rewrites each link so that it passes through a tracking address first. That redirect records who clicked and which link, then sends the reader on to your page within a fraction of a second.
Platforms report two numbers. Unique clicks count each person once, however many links they clicked. Total clicks count every click, so one enthusiastic reader clicking five products counts five times. Click rate normally uses unique clicks. Some platforms divide by emails sent rather than delivered, which gives a slightly lower figure, so check which your platform uses before comparing anything.
Click rate is often confused with click-to-open rate, which divides clicks by opens instead of deliveries. Since Apple Mail Privacy Protection began recording automatic opens for many Apple Mail users, the open rate has become unreliable, and click rate has become the more trustworthy measure of whether people engaged.
Why it matters
Click rate tells you whether the email gave people a reason to act. A newsletter that is opened but rarely clicked may be informative without moving anyone towards a purchase or enquiry; one with a healthy click rate is at least sending people to your website.
It is not the whole story. A click is a step, not a result, so connect it to what happens afterwards. Tag every email link with UTM parameters, using a tool such as this UTM link builder, so GA4 can show which emails led to orders or enquiries.
There is a catch that particularly affects UK business-to-business lists. Many corporate email security systems open every link in an incoming message to check it is safe before the person sees it. Those automated checks can register as clicks, often within seconds of delivery and on every link at once, and they inflate the figure. Some platforms filter suspected bot clicks; others do not.
Common mistakes
- Comparing with published benchmarks. Benchmark reports use different definitions, list types and sectors, so the comparison often means little. Your own trend over time is the better yardstick.
- Celebrating bot clicks. A sudden jump in clicks on a B2B send, concentrated in the first minute, usually reflects security scanners rather than people.
- Counting unsubscribe clicks. Check whether your platform includes them; if it does, a rise in click rate can be bad news.
- Too many competing links. Twenty links with no clear main action spread attention thinly and make the email harder to read.
- Treating click rate as the goal. Curiosity-bait subject lines and teasing copy can raise clicks while lowering trust and sales.
How to act on it
Confirm how your platform calculates click rate and whether it filters bots. Look at the click map for each campaign to see which links attracted attention and which were ignored. Give each email one main action, placed where people see it without scrolling far, and support it with only a few secondary links.
Track click rate by segment and over several months rather than reacting to single sends. Then follow the clicks into GA4 to see which emails produced revenue or enquiries. Deciding what email should achieve for the business is the first step, and it is part of the digital marketing strategy and consulting work I do.