What is a good clickthrough rate?
It depends entirely on the surface and the intent. A branded search ad and a cold display placement are not the same measurement, and published averages mix them together. Compare against your own history instead.
Clickthrough rate from clicks and impressions, or the impressions a click target needs. Fill in two of the three.
Fill in any two of impressions, clicks and rate. The third is worked out, so the same page answers what happened and what it would take.
Everything here is worked out in your browser. Nothing you type is sent anywhere, and there is no account to make.
Leave this blank to work it out from the other two.
Optional. Works out the impressions that many clicks would need at this rate.
Result
The numbers below are an example so the tool opens working. Replace them with yours.
What comes out
How to use it
Impressions and clicks, from an ad platform, Search Console or an email tool. Keep both from the same window.
Or enter a rate and leave clicks blank, if the question is what a rate would produce rather than what it was.
The tool then says how many impressions that many clicks would need, which is usually a bigger number than people expect.
Clickthrough rate is clicks divided by impressions, as a percentage. It is the share of the people who saw something who then acted on it.
It is a ratio, which means it says nothing about size. A 9% rate on 400 impressions is 36 clicks. A 2% rate on 400,000 is 8,000. The first number looks far better and the second one is the business.
That is why the result here shows the rate, the clicks and the impressions together rather than the rate alone. A rate without its denominator is a number you cannot act on.
The people most likely to click are reached first. Widen the targeting and the later impressions land on people with less interest, so the rate drops even though nothing about the ad changed.
This catches teams out in two directions. A falling rate on a scaling campaign is often the cost of scale rather than a creative problem, and a rising rate on a shrinking one is often just a smaller, warmer audience.
The click target field is here for the same reason. Enter the clicks you need and the impressions required usually make the plan look different.
The tool
Leave impressions, clicks or the rate blank and the tool works out that one.
The rate never appears on its own. Clicks and impressions sit under it, because a ratio without its size is not a result.
The same fact as a count. Some conversations go better with "one in thirty three" than with "three percent".
Enter the clicks you want and see the impressions needed at the current rate.
If all three are filled and they disagree by more than one percent, the tool says so rather than choosing for you.
Ads, organic search results, email sends. The arithmetic does not care which one, as long as both numbers come from the same place.
Reading the result
We look at your search visibility across Google and the answer engines, and tell you what is costing you orders. No charge for the first look.
In practice
Run both and look at the rate next to the impressions. A better rate on a tenth of the reach has not proved much yet.
Enter the clicks the plan needs and see the impressions required. Some plans stop here.
Impressions and clicks for a query give you the rate for that position. Compare it against the same query next month rather than against a published average.
Enter the rate you expect and the impressions you can afford, and see the clicks. Doing this after launch is how a campaign gets judged against a hope.
Questions
It depends entirely on the surface and the intent. A branded search ad and a cold display placement are not the same measurement, and published averages mix them together. Compare against your own history instead.
Because the people most likely to click were reached first. Later impressions land on people with less interest, so the rate drops without anything about the ad changing. Check the total clicks before treating it as a problem.
On Google Ads, expected clickthrough rate is one of the three quality components that feed Ad Rank, so it affects both position and price. It is an input, not a score you optimise directly.
The arithmetic works, but be careful what you divide by. Email tools report clickthrough against sends and against opens, and open counts have been unreliable since privacy protections started prefetching them.
Whichever the report gives you, used consistently. Mixing an impression count from one definition with clicks from another produces a rate that describes nothing.
No. The calculation runs in your browser, with no account and nothing uploaded.
The rest of the set
Click-through rate is the one number you and the auction are both watching. Google builds an expected version of it into Ad Rank, so a weak rate raises what you pay for the same position instead of simply costing you clicks.
Where this comes up