Tools
CTR Calculator & SEO Traffic Estimator
Use this CTR calculator to get click-through rate from clicks and impressions and compare it with Google Ads, Meta, LinkedIn, YouTube and email benchmarks. See how many extra visits and sales a higher Google ranking would bring, and upload your Search Console export to find queries that lose clicks. Free, no sign-up.
Data: 13,474 US search campaigns (Google Ads and Microsoft Ads), April 2025 to March 2026; averages are medians. Pick your industry for a like for like comparison.
Your own CTR values (%)empty positions are interpolated from neighbours
Estimate = monthly volume × the selected curve's CTR at that position. Choosing 20+ counts current clicks as zero. The AIO box lowers the curve by the source's ratio for searches that show an AI Overview.
Search Console > Performance > Export > Download CSV. You can drop the zip as it is; the tool finds the queries table itself. The pages table works too.
Enter the two values you know; the third appears instantly.
Enter clicks and impressions to compare.
Enter monthly volume, current and target position.
| Keyword | Rank | Clicks/mo | Extra clicks/mo |
|---|
| Query | Position | Impressions | Actual CTR | Expected CTR | Missed clicks |
|---|
Calculate your site's real CTR by position from this data and use it in the Organic Potential tab.
How to use the CTR Calculator & SEO Traffic Estimator
- 1Pick a mode
Switch between the three tabs. Each has its own inputs and results.
- 2Enter two values
Choose what to solve for, then type two of clicks, impressions and CTR.
- 3Choose a channel
Pick a channel and, for ads, an industry. The tool then shows the benchmark with its source.
- 4Set a ranking target
In Organic Potential, add volume, current and target position. You can also add conversion rate and value.
- 5Drop your export
Drop the Search Console zip or CSV. The tool then ranks low CTR queries by missed clicks.
CTR formula and how the calculator works
All three tabs use the same ratio. The organic estimate and the Search Console analysis also combine it with a CTR curve by position.
CTR = Clicks ÷ Impressions × 100Clicks = Impressions × CTR ÷ 100Impressions = Clicks ÷ (CTR ÷ 100)Monthly clicks = Monthly volume × Curve CTR at that position ÷ 100Expected CTR = CTR(whole position) + (CTR(next position) - CTR(whole position)) × decimal partMissed clicks = Impressions × (Expected CTR - Actual CTR) ÷ 100Reduced CTR = Curve CTR × 8 ÷ 15 (Pew Research Center data)Example: 1,250 clicks ÷ 48,000 impressions × 100 = 2.60%. In the comparison, anything within ±10% of the average counts as "around average".
Worked examples: CTR and channel comparison
Enter these rows in the calculator and you will see the same results, with all industries selected and the AWR all devices curve for the organic row.
| Channel | Clicks | Impressions | CTR | Benchmark | Result |
|---|---|---|---|---|---|
| Google Search ads | 1,250 | 48,000 | 2.60% | 6.64% | Below average |
| Meta ads: traffic campaigns | 540 | 21,000 | 2.57% | 1.93% | Above average |
| Email, per delivered | 96 | 3,800 | 2.53% | 2.62% | Around average |
| YouTube, thumbnail impressions | 2,350 | 41,000 | 5.73% | 2% to 10% | Within range |
| Google organic, position 4.3 | 190 | 9,500 | 2.00% | 3.65% | Below average |
Benchmarks: WordStream by LocaliQ 2026 (Google Search, Meta), Mailchimp 2023, YouTube Help, Advanced Web Ranking 2025. The figures are examples I picked to show the math.
Organic CTR by position: three studies
The curves in the Organic Potential and Search Console tabs use these values.
| Position | AWR (2025, all devices) | SISTRIX (2020) | Backlinko (2019) |
|---|---|---|---|
| 1 | 25.77% | 28.5% | 27.6% |
| 2 | 10.5% | 15.7% | 15.8% |
| 3 | 6.1% | 11.0% | 11.0% |
| 4 | 4.02% | 8.0% | 8.4% |
| 5 | 2.8% | 7.2% | 6.3% |
| 6 | 2% | 5.1% | 4.9% |
| 7 | 1.46% | 4.0% | 3.9% |
| 8 | 1.13% | 3.2% | 3.3% |
| 9 | 0.91% | 2.8% | 2.7% |
| 10 | 0.73% | 2.5% | 2.4% |
| 11-20 | 0.58% to 0.66% | no data | no data |
Sources: Advanced Web Ranking CTR study (US, 2025 annual average), SISTRIX (over 80 million keywords), Backlinko (4 million search results). I copied the values exactly from the sources.
What does a CTR calculator do, and what does this one add?
A CTR calculator tells you what share of people clicked your ad or search result. Put simply, it divides clicks by impressions and multiplies by 100. The math is trivial; the hard part is knowing whether the number is good. That is why this tool does three jobs.
- Calculate CTR: enter two of clicks, impressions and CTR to get the third. Then compare it with the average for your channel and industry.
- Organic Potential: estimate the extra clicks, conversions and revenue from a better ranking.
- Search Console: compare each query's CTR with the expected CTR at its position. The tool then ranks the gaps by missed clicks.
The mistake I see most in client accounts is reading CTR without context. For example, 2% is weak for a Google Search ad but excellent for a display ad. For the cost side, the CPM calculator also turns impressions into cost per thousand and cost per click.
What is a good click-through rate?
There is no single right number, because the channel and the industry decide. I took the benchmarks in the tool straight from public reports:
- Google Search ads: the 2026 WordStream by LocaliQ report puts the median CTR of 13,474 US campaigns at 6.64%. By industry, it ranges from 5.56% to 12.75%.
- Meta ads: the same report shows 1.93% for traffic campaigns and 2.70% for lead campaigns.
- Display ads: industry medians sit between 0.12% and 0.40%. In other words, display earns roughly a twentieth of search.
- Email: Mailchimp reports a 2.62% click rate per delivered email. MailerLite also reports a 6.81% click-to-open rate (CTOR).
- LinkedIn and YouTube: LinkedIn publishes no official average. YouTube, however, says half of all channels and videos have an impressions CTR between 2% and 10%.
One caveat: most of these figures are medians of US campaigns. So treat them as a starting line and set your real target from your own account history.
How much does ranking position change organic CTR?
In organic search, position drives CTR more than anything else. Advanced Web Ranking's 2025 US data gives position 1 an annual average of 25.77%. Position 2 gets 10.5%, position 3 gets 6.1% and position 10 only 0.73%. In other words, the top spot earns more than thirty times the clicks of position 10. On page two, the values then run flat between 0.58% and 0.66%.
The curve also shifts over time. In the same study, position 1 fell from 28.55% in 2023 to 25.77% in 2025. Meanwhile, the 2020 SISTRIX study of over 80 million keywords found 28.5% for position 1. If you pick Google organic in the Calculate CTR tab, the tool also works in reverse: it tells you which average position your CTR matches on the selected curve.
The Organic Potential tab works with these curves. For example, take a keyword with 2,400 monthly searches that moves from position 8 to 3. With the AWR curve, clicks rise from 27 (2,400 × 1.13%) to 146 (2,400 × 6.1%). As a result, you gain 119 visits a month. At a 2% conversion rate and $120 per conversion, that is about $286 in extra monthly revenue. Also weigh this against how long SEO takes when you plan the budget.
How much do AI Overviews reduce click-through rate?
Searches with an AI summary send noticeably fewer organic clicks. Pew Research Center studied 68,879 searches by 900 US adults. When an AI summary appeared, users clicked a traditional result in 8% of visits. Without one, they did so in 15% of visits. Clicks on links inside the summary happened in just 1% of visits.
Ahrefs' analysis of 300,000 keywords points the same way. In April 2025, the top-ranking page had a 34.5% lower CTR when an AI Overview appeared. The update based on December 2025 data then put the gap at 58%. Google, on the other hand, says total organic click volume has stayed relatively stable.
Every keyword row in the calculator has an AIO box. When you tick it, the tool multiplies the curve by Pew's ratio of 8/15. As a result, CTR drops by 46.7%. I apply that ratio evenly to all positions, so treat it as an estimate. For the content side, read my posts on zero-click searches and writing content for AI Overviews.
How do you find low CTR queries in Search Console?
Open the Performance report in Search Console and choose a date range. Then use the export button at the top right to download a CSV. You can drop the zip straight into the tool, because it finds the queries table itself. If you exported to Google Sheets, pasting the table also works.
The tool recognises headers from English, Turkish and German exports. It also reads decimal commas and points correctly. Then it calculates three things for every query:
- Expected CTR: the selected curve's value at the query's average position, interpolated between two positions.
- Missed clicks: impressions multiplied by the gap between expected and actual CTR.
- Striking distance: queries at positions 4 to 15, where a climb of a few spots pays off most.
Exclude your brand terms, because branded searches inflate the average. Also keep the minimum impressions filter sensible, since CTR is noisy below a few hundred impressions. If the report is new to you, my Google Search Console guide is a good place to start.
How should you act on your CTR calculator results?
A query in the top three with a low CTR usually has a title and description problem. The page is already visible; people just do not click. So this is the order I work in:
- Search the query yourself. Check whether the page shows ads, an AI Overview or a featured snippet.
- Rewrite the title for the search intent. Then check truncation with the Google SERP preview tool.
- Test the title's clarity with the headline analyzer. Also add a concrete benefit or number to the description.
- Note the date of the change and measure the query's CTR again after four to six weeks.
For striking distance queries, however, strengthen the content first. Run the page through the SEO checker and fix missing headings and internal links. My guide to meta titles and descriptions also covers the writing side in detail.
Is a high CTR always good for ads?
No. CTR is a health metric, not a profit metric. A high CTR shows that your ad speaks to the right people. However, if those clickers do not buy, every click costs you money. Therefore, always read CTR together with conversion rate and return on ad spend.
In Google Ads, CTR also feeds Quality Score through expected click-through rate. As a result, ad groups with weak CTR pay more for the same position. On the other hand, a clickbait headline can lift CTR and still hurt conversions.
In practice, I track three numbers together: CTR, conversion rate and ROAS. You can check conversions with the conversion rate calculator and profit with the ROAS calculator. If you want me to review the whole account, my Google Ads management and SEO consulting pages explain how I work.
Common CTR mistakes
- ✕MistakeComparing CTR across channels✓Do this insteadA 6% search CTR and a 0.3% display CTR are not comparable. Always compare within one channel.
- ✕MistakeMixing up email rates✓Do this insteadClick rate divides by delivered emails. CTOR, however, divides by people who opened.
- ✕MistakeTrusting low impression queries✓Do this insteadBelow a few hundred impressions, CTR swings a lot. So use the minimum impressions filter.
- ✕MistakeCounting brand queries✓Do this insteadBranded searches have very high CTRs and inflate your own curve. Exclude brand terms.
- ✕MistakeOptimising for CTR alone✓Do this insteadA clickbait title lifts CTR while conversions drop. Also read conversion rate and revenue.
Frequently Asked Questions
Good rankings but few clicks?
When titles, descriptions and search intent line up, the same ranking brings more visits. Let's go through your Search Console data together in a free 15-minute call.
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