What is the formula for newsletter click-through rate?

Unique clickers divided by delivered emails, times 100. Delivered means sent minus bounces, not the size of your list. Using total list size instead of delivered understates the rate, and the gap widens as the list ages.

What is the difference between unique clicks and total clicks?

Unique clicks count each subscriber once no matter how many links they clicked or how many times. Total clicks count every click event. Total clicks will always be the larger number, and a rate built on it is not a click-through rate in the standard sense.

Should click rate use delivered emails or opened emails as the denominator?

Click-through rate uses delivered. Clicks divided by opens is a different metric called click-to-open rate, and it produces a much higher number. Mixing the two is the single most common reason newsletter benchmarks disagree with each other.

Is click rate more reliable than open rate?

Yes. An open can be recorded when an image loads automatically, including by privacy tooling that fetches images on the reader's behalf. A click requires a request for a specific link. Automated scanning still inflates clicks, but far less than it inflates opens.

What Is Newsletter Click-Through Rate?

Q: What is newsletter click-through rate?

The share of delivered emails that produced a click. Divide the number of subscribers who clicked any link by the number of emails delivered, then multiply by 100. It is the most reliable engagement number email gives you, because a click requires a deliberate action in a way an open does not.

Newsletter click-through rate is the share of delivered emails that produced a click: unique clickers divided by delivered, times 100. It is the most trustworthy number your platform reports, and it is still computed three different ways by three different tools.

The short answer

Newsletter click-through rate is the share of delivered emails that produced a click.

CTR = (unique clickers / delivered emails) x 100

A send delivered to 4,000 inboxes that produced clicks from 140 distinct subscribers has a 3.5% click-through rate.

The denominator decides the number

Two choices in that formula change the answer more than anything you do to the email itself.

Delivered, not sent, and not list size. Delivered is sent minus bounces. A list with meaningful bounce or a large dormant segment will show a materially lower rate if you divide by total subscribers instead. The gap grows as the list ages, which means an operator using list size will watch their click rate decay for reasons that have nothing to do with the writing.

Unique clickers, not total clicks. Unique counts each subscriber once regardless of how many links they clicked. Total counts every event. One enthusiastic reader clicking six links contributes 1 to the unique count and 6 to the total. Rates built on total clicks run higher and are not comparable to anything published as a benchmark.

If a dashboard does not say which it uses, assume unique clickers over delivered, then verify before you compare the number to anything external.

What a click actually tells you

A click is a request for a URL. That is the whole of it.

It tells you the subject line worked well enough to get the email opened, the content held attention as far as the link, and the link was interesting enough to act on. That is a genuinely strong signal, and it is why click rate is worth more attention than open rate.

It does not tell you the reader read the destination, liked it, or wanted it. It does not distinguish a considered click from a misfire. And a share of every click total comes from security scanners and mail providers fetching links automatically to check them, which inflates the number by an amount that varies by audience and is not knowable from the outside.

Where operators go wrong with it

Comparing across platforms without checking the formula. Beehiiv and Kit both report click data, and third-party benchmark reports frequently mix denominators. A "5% click rate" is meaningless until you know what it was divided by.

Reading a single send as a verdict. One edition's click rate is heavily influenced by how many links it contained, where they sat, and what the topic was. Trends across editions carry information. One send mostly carries noise.

Treating a stable rate as a stable audience. A rate holding at 4% while your list grows can mean engagement is keeping pace, or it can mean a shrinking core is clicking harder while new subscribers ignore you entirely. The rate alone cannot distinguish those, and they call for opposite responses.

Clicks divided by opens is a different metric with a different name, click-to-open rate, and it produces a much larger number for the same send. Plenty of dashboards and older articles call it CTR anyway.

That single ambiguity is behind most disagreements about what a good newsletter click rate is. CTR versus CTOR covers which one to use for which question, and why the two answer different things.

What to do with the number

Click rate earns its keep as a comparison across your own editions. Which topics produced clicks, which framings did, where in the email the links sat.

Your newsletter platform is authoritative for all of it, and for most decisions it is sufficient on its own. Distinctful becomes relevant when the question also involves what you published elsewhere that week and whether any offer activity moved, which is a separate routine.