CTR calculator: How to work out click-through rate

Click-through rate is clicks divided by impressions. Enter any two of the three below and the calculator returns the missing one, so you can grade a campaign that already ran or work out how many impressions a click target requires.

The optional section is the part that turns a vanity metric into a plan. A click-through rate on its own says how interesting the ad was. Add your conversion rate and it tells you how many customers the impressions are actually going to produce.

Click-through rate is the share of people who saw something and were interested enough to click it.

That is all it is, and it is deliberately narrow. It measures the appeal of the creative, the headline, and the offer, in the moment of the impression. It says nothing about what happened afterwards. An ad with a spectacular CTR and a broken landing page is an ad with a spectacular CTR.

The metric is not confined to advertising. Search results have a CTR, which is the ratio of clicks to impressions in the results page. Emails have one, dividing clicks by delivered messages. Product listings have one. In every case the structure is identical: something was shown, some fraction of the audience acted.

CTR = Clicks ÷ Impressions

Multiply by 100 for a percentage. An ad shown 5,500 times that received 500 clicks has a CTR of 500 ÷ 5,500 = 9.09%.

Rearranged, the two versions that matter when you are planning rather than reporting:

Clicks = Impressions × CTR

Impressions = Clicks ÷ CTR

The second is the useful one. If you need 3,800 clicks and your campaigns historically run at 1.9%, you need 200,000 impressions. That converts a traffic target into a media requirement, and the media requirement is what has a budget attached to it.

Grading an ad. A campaign delivered 5,500 impressions and 500 clicks.

CTR = 500 ÷ 5,500 = 9.09%

High, and worth interrogating before celebrating. A number that far above typical display performance usually means the audience was tiny and highly targeted, or the placement was so prominent that clicks include accidents. Small denominators produce dramatic rates.

Sizing a campaign. You need 200,000 impressions and expect a 1.9% click-through rate. Your landing page converts 2.4% of visitors.

Clicks = 200,000 × 0.019 = 3,800

Conversions = 3,800 × 0.024 = 91

Ninety-one customers. Now the arithmetic gets useful, because you can compare that against what the impressions cost and against what a customer is worth. Everything upstream of this point was measurement. This is the first line that supports a decision.

The honest answer is that published benchmarks are close to useless, and here is why.

Click-through rate varies enormously by format, by placement, by audience temperature, and by intent. Search advertising, where someone has just typed what they want, produces rates several multiples above display advertising shown to people reading something unrelated. Email sent to a list that opted in outperforms both, often by an order of magnitude. Comparing your display CTR against an email benchmark is not a comparison at all.

Within a single format it varies again, by device, by geography, by position, and by how narrowly the audience was defined. A benchmark aggregated across all advertisers in a sector averages away every one of those variables.

So use three comparisons instead of an industry number:

This is the part most CTR discussion skips. Click-through rate can be raised by making an ad more interesting, or by making it less honest, and the metric cannot tell the two apart.

Broad, curiosity-driven creative pulls clicks from people who were never going to buy. It lifts CTR and lowers conversion rate, and the campaign gets worse while the dashboard gets better. Sharpening the message so it repels the wrong audience does the opposite: CTR falls, conversion rate rises, and the campaign improves.

The same dynamic appears in search. A headline that overpromises earns the click and loses the sale. In email, a subject line disconnected from the content buys one open at the cost of the next twenty.

The metric that resolves this is the one the calculator's optional section produces: clicks multiplied by conversion rate. Optimising for conversions rather than clicks removes the incentive to attract people who will not buy.

There is one genuine reason to care about CTR for its own sake. On auction-based platforms, expected click-through rate feeds the quality signals that determine how much you pay and how often you show. A better CTR lowers cost per click. That is a real financial benefit, and it is separate from whether the clicks convert.

The four are linked by simple multiplication. Impressions times CTR gives clicks. Clicks times conversion rate gives conversions. Spend divided by each gives the cost metrics. A campaign fails at exactly one of those joints, and knowing which one tells you what to fix. A weak CTR is a creative and targeting problem. A weak conversion rate is a landing page and offer problem. Reporting only the end result leaves you guessing.

Small samples produce nonsense. A 20% CTR on 40 impressions is noise. Rates need thousands of impressions before they mean anything.

Impressions are not people. One person shown an ad twenty times counts as twenty impressions. High frequency depresses CTR without saying anything about the creative.

Not every click is a human. Bot traffic, accidental taps on mobile, and click fraud all inflate the numerator.

Averaging rates across campaigns is wrong. The average of a 10% CTR on 100 impressions and a 1% CTR on 100,000 impressions is not 5.5%. Add the clicks, add the impressions, and divide.

Branded search flatters everything. People searching for your company name click at rates that have nothing to do with advertising skill. Blending branded and non-branded search hides whether the campaign is creating demand or harvesting it.

Divide the number of clicks by the number of impressions and multiply by 100. An ad shown 5,500 times that got 500 clicks has a CTR of 9.09%. The calculator above also works backwards, so you can enter clicks and a target rate to get the impressions you need.

It depends entirely on the format and the intent behind it. Search advertising, where the person has just described what they want, produces rates far above display advertising shown to people reading something else, and email to an opted-in list typically beats both. Compare against your own history for the same format rather than against a published industry average.

CTR is clicks divided by impressions and measures whether the ad earned attention. Conversion rate is conversions divided by clicks and measures whether the destination earned the action. A campaign can have a strong CTR and a weak conversion rate, which usually means the ad promised something the landing page did not deliver.

It can be misleadingly high, yes. Broad or curiosity-driven creative attracts clicks from people who will never buy, which raises CTR while lowering conversion rate and making the campaign worse. A very high rate on a small number of impressions is usually noise rather than performance.

On auction-based platforms, yes. Expected click-through rate feeds the quality signals that determine ad rank and cost per click, so a better rate generally lowers what you pay and increases how often you are shown. This is a genuine financial benefit separate from whether the clicks convert.

Divide your click target by your expected click-through rate. Needing 3,800 clicks at a 1.9% rate requires 200,000 impressions. Enter the clicks and the rate in the calculator above and it returns the impressions directly.

Not by averaging the rates, which weights a tiny campaign the same as a large one. Add all the clicks, add all the impressions, and divide one by the other. That gives the true blended rate.