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Click-through rate (CTR)

Also called CTR, clickthrough rate

What is click-through rate?

Click-through rate (CTR) is the percentage of people who click on a link, ad, button or search result after seeing it. It is calculated by dividing clicks by impressions and multiplying by 100. CTR measures how well a headline, image, thumbnail or call to action earns a click from the people who saw it.

CTR is reported almost everywhere: ad platforms, email tools (often as click rate), Google Search Console, and YouTube, where thumbnail CTR shows how often an impression turns into a view.

A high CTR is good only if the clicks are relevant. A misleading headline can raise CTR while lowering conversion rate and annoying the people who clicked. The goal is the right clicks, not just more of them.

Why click-through rate matters

CTR is the bridge between being seen and getting results. A post or ad can reach many people, but if nobody clicks, no one reaches your site or offer. It is often the first metric to improve when traffic is low.

On ad platforms, CTR can also affect cost. Ads that people engage with are generally treated as more relevant, which can lower what you pay for each click, so creative that earns clicks saves budget too.

How to calculate and improve CTR

Divide clicks by impressions and multiply by 100. To improve it, test stronger headlines, clearer thumbnails and images, a specific call to action and better audience targeting. Compare CTR only between similar placements, because rates differ a lot between search, social, email and display.

Click-through rate example

Formula
CTR = (clicks / impressions) x 100

Example: 84 clicks / 6,000 ad impressions
= 0.014 x 100 = 1.4% CTR

Click-through rate FAQ

What is a good click-through rate?

It varies by channel, industry and placement. Search ads, social ads, emails and display banners all have very different typical ranges, so compare against your own results in the same placement.

Why is my CTR high but conversions low?

Usually the ad or headline promises something the landing page does not deliver, the page is slow or confusing, or the targeting reaches curious people who are not ready to buy.

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