Free CTR Calculator
Work out click-through rate, clicks or impressions instantly, plus email open rates and what each Google position is worth. No sign-up required.
The CTR formula, and how to use it
The click-through rate formula is straightforward, and this click-through rate calculator applies it in all three directions:
CTR = (Clicks / Impressions) x 100
An impression is one instance of your ad, listing or email being shown. A click is someone acting on it. Dividing one by the other and multiplying by 100 turns it into the percentage everyone reports.
Worked example. A Google Ads campaign served 45,000 impressions last month and earned 1,200 clicks. That is 1,200 divided by 45,000, which is 0.0267, multiplied by 100 for a CTR of 2.67%.
The same formula rearranges when you know the rate and need one of the other two. To find clicks, multiply impressions by the CTR and divide by 100. To work out how to calculate impressions from a known CTR, divide clicks by the CTR and multiply by 100. The calculator above handles all three directions, so you do not have to rearrange anything by hand.
What is a good click through rate?
The honest answer is that there is no single number, and any page giving you one without asking which channel you mean is not helping. A CTR that would be outstanding for display advertising would be a catastrophe for branded search. These are the ranges usually cited, and they are starting points rather than targets:
- Google Ads search. Roughly 3% to 5% is typical, with above 6% considered strong. Branded terms run far higher, often above 15%.
- Google organic. Position dominates everything else. The top result commonly earns somewhere between 25% and 40%, and it falls away sharply below the top three.
- Email marketing. 2% to 5% click-through on delivered emails is a common range, though it varies hugely by list quality and how often you send.
- Display advertising. Often around 0.5%, and anything above 1% is doing well.
The comparison that actually matters is against yourself. Your CTR last quarter, on the same channel, for the same kind of keyword, is a far more useful benchmark than an industry average assembled from businesses that may share nothing with yours.
Email CTR, open rate and click-to-open rate
Email has three rates that get used interchangeably and should not be. The email mode above calculates all three at once so the difference is visible:
- Open rate. Opens divided by emails delivered. Tells you whether your subject line and sender name earned attention.
- Click-through rate. Clicks divided by emails delivered. The headline number, covering the whole journey from inbox to click.
- Click-to-open rate. Clicks divided by opens. This one isolates the email content itself, since it only counts people who actually opened it.
Click-to-open is the most useful of the three for judging your copy and offer, because it removes the subject line from the equation. A low click-through rate with a healthy click-to-open rate tells you the email works fine and the subject line is the problem.
One caveat worth knowing: since Apple introduced Mail Privacy Protection, open rates are inflated and less trustworthy than they used to be, which drags click-to-open rate down with them. Treat both as directional.
CTR by Google position, and what ranking higher is worth
In organic search, your click-through rate is mostly a function of where you rank. The position mode above takes a keyword's monthly search volume and shows roughly what each position from 1 to 10 would return, which is the quickest way to judge whether chasing a term is worth the effort.
Treat those figures as rounded central estimates rather than forecasts. Published CTR studies disagree with each other substantially, and position 1 alone gets reported anywhere from around 25% to 40% depending on whose data you read and which year. The spread is real, not sloppiness: click-through rate genuinely depends on query intent, how many ads and SERP features sit above the organic results, and increasingly on whether an AI Overview is answering the question before anyone scrolls.
Used comparatively, though, the curve is reliable in shape even where the absolute numbers are uncertain. The drop from position 1 to position 3 is steep in every study ever published, and that is the part worth acting on.
Frequently asked questions
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