A partir de $0.07–$0.16 por 1 000 visitas
Work out your click-through rate, the clicks a target CTR brings or the impressions you need. See if your CTR is good, what one extra point is worth and whether an A/B test result is real.
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CTR shows how many people click. The free SparkTraffic website traffic checker shows how much Google search traffic a site gets. Need more visitors for a launch? See SparkTraffic website traffic.
The first online display ad, an AT&T banner on HotWired in 1994, earned a 44% click-through rate, according to Wikipedia's article on click-through rate. Today banner ads average closer to 0.1%, and the same article notes that a 2% rate is usually seen as very successful. One metric can describe a winning campaign or a failing one, and the difference depends on where the clicks happen.
That is why a CTR number needs context before it can guide a decision. The free calculator above works out your CTR, the clicks a target rate brings or the impressions you need. It also compares your result with typical ranges for search ads, display, email and organic search, and it tests whether the gap between two ads is real. This guide explains how to read each result and how to act on it.
Click-through rate, or CTR, is the share of people who click after they see a link, an ad or an email. Wikipedia defines it as the ratio of clicks on a specific link to the number of times a page, email or advertisement is shown. An impression is one display of that ad or listing on a screen.
CTR = clicks ÷ impressions × 100
Clicks = impressions × CTR ÷ 100
Impressions = clicks ÷ CTR × 100
The formula is simple, but the inputs change from channel to channel. For email, Wikipedia explains that CTR divides clicks by emails delivered, not emails sent, because a bounced message cannot be clicked. For organic search, your position on the results page shapes the rate more than any wording change.
Example: A search ad with 504 clicks from 12,000 impressions has a 4.2% CTR, which sits inside the typical 3% to 6% range for search ads. A display banner with the same 4.2% would be far above its usual 0.1% to 1% range. The number is identical, yet the first result is ordinary and the second may point to accidental clicks or a tracking error.
The practical answer is to judge every CTR against its own channel and, for organic results, against its position. Compare like with like: the same format, the same audience and the same date range. This works because CTR measures relevance, and relevance only has meaning inside a specific context.
Most CTR mistakes come from mixed inputs, not from the math. Clicks from one report get divided by impressions from another, or a filter in one tool removes data the other tool still counts. A second common slip is to read a small sample as a final answer: 3 clicks from 50 impressions shows a 6% CTR, yet the true rate could sit anywhere from about 2% to 16%.
SparkTraffic is a website traffic platform that helps businesses grow visits through traffic campaigns, organic SEO, local Maps SEO and backlinks. We built this calculator next to our free website traffic checker because a click only matters when it becomes a real visit. The calculator runs in your browser, needs no account and shows the formula behind every result.
The channel buttons switch between search ads, display and social, email and organic search. Each channel changes the field labels and the benchmark range. Email asks for emails delivered, and organic search adds an optional average position from Google Search Console.
The three tabs solve CTR, the clicks you can expect from a target CTR, or the impressions you need for a click goal. For example, 500 clicks at a 4% CTR need 12,500 impressions.
You can type shorthand such as 12k or 1.5m, and the quick-fill links add common values. The result updates as you type. The formula line shows the calculation, and a 95% range shows how far the true CTR may sit from the one you measured.
Spend, conversions and value per conversion add cost per click, CPM, conversion rate, cost per conversion, break-even CPC and ROAS. A target CTR shows how many extra clicks you need. For email, unique opens add the open rate and the click-to-open rate.
The A/B section compares version B with the numbers above and reports a confidence level. Copy result creates a plain-text summary for a report, and Share link opens the same calculation for a colleague.
This order follows a real campaign review: first the rate, then its context, then its value in money. Each step adds one layer, so you only fill in the data you already have.
A CTR is good when it beats the realistic range for its channel and placement, not when it beats a number from another industry. Wikipedia notes that banner CTRs fell from above 5% in the early days to about 0.1% by 2023, while search ads tend to earn more because they answer a query the user has just typed. If you compare a banner with a search ad, you will draw the wrong conclusion about both.
The calculator uses these working ranges:
These ranges are a starting point, not a target. Your own history is the strongest benchmark, because it already reflects your audience, your offer and your brand.
Example: A page at average organic position 3.2 has 9,000 impressions and 270 clicks, a 3% CTR. Industry click studies put the expected CTR near that position at about 10%, so the listing misses roughly 670 clicks compared with a typical result at the same rank. The ranking is fine. The title and description are the weak spot.
Start with the channel range, then narrow it with your own data. For organic results, add your average position, because rank changes the expected CTR more than any copy change. If your CTR sits below the range, fix relevance first: match the ad or title to the search intent and make one clear promise. This works because people click when a result clearly answers what they came for.
A higher CTR is not always a better campaign. Wikipedia points out that advertisers do not want many click-throughs with few purchases, and that overly intrusive ads are often avoided by viewers. Clickbait headlines, misleading buttons and ads placed next to content buttons all raise CTR while they lower the share of clicks that become customers.
Example: Ad A earns a 2% CTR, and 5% of its visitors buy. Ad B makes a bolder promise and earns a 3% CTR, but only 2% of its visitors buy. From 10,000 impressions, Ad A brings 200 clicks and 10 sales, while Ad B brings 300 clicks and 6 sales. On a pay-per-click plan, Ad B also costs 50% more.
Write for the person, not for the metric. Match the headline to the keyword or audience, state the offer plainly and keep the landing page consistent with the ad. In search ads, Wikipedia notes that a higher CTR usually earns a better quality score, which can lower your cost per click, so honest relevance pays twice.
In the calculator, add conversions and value per conversion to see your break-even CPC and the sales value of each extra point of CTR. This works because it moves the decision from clicks to revenue, which is the result you actually pay for.
Most ad tests end too early. Wikipedia describes A/B testing as a randomized experiment with two variants, and it stresses that a careful test checks whether the gap is statistically significant, which means it is likely real and repeatable rather than the result of chance. Small samples make random gaps look like wins.
Example: Ad A earns a 4.2% CTR and Ad B earns 4.8%. With 1,200 impressions per ad, that gap reaches only about 57% confidence, close to a coin flip. With 12,000 impressions per ad, the same gap reaches about 98% confidence. To detect a gap of this size reliably, you should plan for about 17,000 impressions per version.
Change one element at a time, split the audience at random and run both versions in the same period. Decide the sample size before you start, then read the result once at the end rather than every morning. The calculator reports the confidence level from a two-proportion z-test, one of the common test statistics Wikipedia lists for two-sample comparisons, and the impressions each version needs at 95% confidence and 80% power. This works because a fixed plan stops you from picking a winner on a lucky day.
Organic CTR depends on rank, but also on what else appears on the results page. Ads, maps, videos and answer boxes all compete for the same attention, so the same position can earn very different CTRs on two queries. Wikipedia notes that some SEO specialists have claimed since the mid-2010s that CTR affects organic rankings, and the theory is still debated. You do not need to settle that debate to act, because more clicks from the same impressions mean more visits either way.
Export impressions, clicks and average position from Search Console and run your main pages through the Organic search tab. Sort them by the gap between actual and expected clicks, and rewrite titles and descriptions for the pages with the largest gap first. This works because those pages already rank, so a better snippet is the fastest way to win visits you have already earned. Avoid tricks that inflate clicks without satisfying the visit, since a quick return to the results page brings you no value.
For email, separate opens from clicks. Click-to-open rate, the share of people who opened and then clicked, shows whether the content worked, while CTR on delivered emails also reflects the subject line and the quality of your list. Wikipedia notes that even the day of the week can change email CTR, so compare sends with the same timing.
Across every channel, the principle stays the same. CTR measures how well you answer a real person's need at the moment they see you. Write for that person, measure honestly and use the numbers to decide where your next visitor will come from.
It depends on the channel. Search ads often earn about 3% to 6%, display and social ads about 0.1% to 1%, email about 2% to 5% of delivered emails, and organic search about 1.5% to 5% on average. Your own past campaigns in the same channel are the best benchmark.
Divide clicks by impressions and multiply by 100. For example, 504 clicks from 12,000 impressions give a CTR of 4.2%. For email, divide clicks by the number of emails delivered.
CTR measures how many people click after they see an ad, a listing or an email. Conversion rate measures how many of those visitors complete a goal, such as a purchase or a sign-up. A campaign needs both to be profitable.
A high CTR with weak sales usually means the ad attracts people the offer does not suit, or the landing page does not match the promise in the ad. Accidental clicks on mobile banners can also inflate CTR. Add conversions in Advanced options to see your real cost per sale.
It depends on your CTR and on the size of the gap you want to detect. Small gaps need large samples: telling 4.2% from 4.8% apart reliably takes about 17,000 impressions per version. The A/B section of the calculator gives the number for your own data.
Some SEO specialists have claimed since the mid-2010s that CTR affects organic rankings, and the theory is still debated. In search ads, CTR feeds into the quality score, which can lower your cost per click. In both cases, a more relevant result earns more visits from the same impressions.
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