CTR CalculatorClick-through rate by Google position, with missed-click finder
Turn Search Console clicks and impressions into a CTR, then see whether that rate is good for your ranking position, how many clicks you are leaving on the table and what moving up would be worth.
Uses the CTR definition from the Google Search Console Performance report with AI Overview adjustments based on 2025 click research
Updated October 24, 2026
420 clicks from 18,500 impressions.
CTR index 56Out of every 100 people who saw your result
Your CTR vs. the position curve
If you moved up and kept your current snippet quality
| Position | Projected CTR | Projected clicks | Change |
|---|
What is a CTR calculator?
A CTR calculator works out click-through rate by dividing clicks by impressions and multiplying by 100. For example, 420 clicks from 18,500 impressions is a 2.27% CTR. This one also compares your CTR with the rate your Google position normally earns, adjusted for ads and AI Overviews, so you can tell whether a low CTR is a snippet problem or a ranking problem.
How to use the CTR calculator in four steps
- Open Search Console. Go to Performance → Search results, tick Total clicks, Total impressions and Average position, and filter to one page or one query. Mixing queries hides the real picture.
- Enter clicks and impressions. The calculator returns your click-through rate and how many clicks you earn per 1,000 impressions.
- Add average position and page layout. Pick what appears above your listing (ads, an AI Overview, both or neither). The tool compares your CTR with what that position normally earns and gives you a CTR index.
- Read the index and act. Below 80 means your snippet is underperforming, so rework the title and description. Around 100 means the snippet is fine and rankings are the next lever. Use the projection table to see the payoff of moving up.
Planning a campaign instead? Switch to Clicks needed to turn a CTR target into a click target, or Impressions needed to work out how much search visibility a traffic goal requires.
CTR formula and the CTR index
This is the same definition Google uses in the Search Console Performance report. Rearranged, it gives the two reverse modes:
clicks = impressions × CTR ÷ 100
impressions = clicks ÷ (CTR ÷ 100)
expected CTR = curve(position) × layout factor
Fractional positions such as 4.2 are interpolated between positions 4 and 5. An index of 100 means your snippet earns exactly what the position normally earns.
Worked example (the calculator’s default inputs)
A guide earned 420 clicks from 18,500 impressions at an average position of 4.2, on a results page that shows an AI Overview.
- CTR = 420 ÷ 18,500 × 100 = 2.27% (22.7 clicks per 1,000 impressions).
- Expected CTR at position 4.2 = 6.5% + 0.2 × (4.8% − 6.5%) = 6.16%, multiplied by the AI Overview factor 0.655 = 4.03%.
- CTR index = 2.27 ÷ 4.03 × 100 = 56. The snippet is earning just over half of what this position usually gets.
- Matching the curve would mean about 746 clicks, so roughly 326 clicks are being missed over the same impressions.
- Moving to position 1 at the same snippet quality projects about 1,705 clicks (+1,285), which shows why fixing the snippet and climbing both matter.
The dexocalc 2026 planning CTR curve
There is no official CTR-by-position table. Every published study measures a different mix of queries, so I use one conservative planning curve across the whole dexocalc SEO cluster, then adjust it for the results-page layout.
| Position | Plain results | Ads above (×0.85) | AI Overview (×0.655) | AI Overview + ads (×0.55) |
|---|---|---|---|---|
| Position 1 | 25.0% | 21.25% | 16.38% | 13.75% |
| Position 2 | 14.0% | 11.90% | 9.17% | 7.70% |
| Position 3 | 9.5% | 8.07% | 6.22% | 5.23% |
| Position 4 | 6.5% | 5.52% | 4.26% | 3.58% |
| Position 5 | 4.8% | 4.08% | 3.14% | 2.64% |
| Position 6 | 3.6% | 3.06% | 2.36% | 1.98% |
| Position 7 | 2.8% | 2.38% | 1.83% | 1.54% |
| Position 8 | 2.2% | 1.87% | 1.44% | 1.21% |
| Position 9 | 1.8% | 1.53% | 1.18% | 0.99% |
| Position 10 | 1.5% | 1.27% | 0.98% | 0.83% |
| Positions 11–20 | 0.35–1.0% | scaled ×0.85 | scaled ×0.655 | scaled ×0.55 |
Where the layout factors come from
The AI Overview factor of 0.655 reflects Ahrefs’ 2025 finding that the top-ranking page’s click-through rate was 34.5% lower when an AI Overview appeared. Pew Research Center reached a similar conclusion in 2025: users clicked a traditional result on 8% of visits with an AI summary, against 15% without one. The ads factor (0.85) and the combined factor (0.55) are my own planning assumptions.
Your own data beats any curve
Treat this curve as a starting point. Brand queries can exceed 50% CTR at position 1, while broad informational queries often sit far below the curve. Once a site has a few months of data, export average CTR by position from Search Console and compare pages against your own baseline.
What is a good click-through rate?
A good organic CTR is one that matches or beats what your position normally earns. A 2% CTR is weak at position 1 but strong at position 9. That is why this calculator scores you with a position-adjusted index rather than a single “good CTR” number.
| CTR index | What it means | What to do next |
|---|---|---|
| 120+ | Snippet is unusually compelling, or the query is branded | Leave the title alone; copy its pattern to sibling pages |
| 100–119 | Beating the curve | Focus on rankings and internal links |
| 80–99 | Normal for the position | Test a sharper title only if the page is a priority |
| 50–79 | Snippet is losing clicks | Rewrite title and meta description; check truncation and intent |
| Below 50 | Intent mismatch or SERP features absorbing clicks | Search the query yourself and rethink the angle of the page |
How to improve organic CTR (what works in practice)
Lead with the outcome
Searchers scan the first few words. “CTR Calculator: Click-Through Rate by Position” beats “Free Online Tool to Calculate Your CTR”. Put the exact query and the benefit first.
Stop truncation
Google cuts titles by pixel width, not characters. A title that ends in “…” loses its promise. Check it with the pixel width checker before publishing.
Match the intent
If the top results are tools and yours reads like a blog post, CTR stays low however good the title is. Make the snippet promise what the page actually delivers.
Write a real meta description
Google often rewrites descriptions, but a clear, specific one still gets shown frequently. Include a number, a result or a differentiator the searcher can’t get elsewhere.
Earn rich results honestly
Valid structured data for FAQs, products, recipes or reviews can make a listing taller and more useful. Mark up only what is visible on the page.
Answer for the AI Overview
When an overview sits above you, being cited inside it is the new position 1. A direct 40–60 word answer near the top of the page makes that more likely.
Common mistakes: averaging CTR across brand and non-brand queries; judging a page on fewer than 100 impressions; comparing date ranges that include a ranking change; and forgetting that Search Console’s average position is impression-weighted, so one high-volume query can dominate it.
Related SEO calculators
CTR is one link in the chain from ranking to revenue. These tools pick up where this one stops, and they all share the same planning CTR curve, so the numbers agree.
CTR calculator questions, answered
Divide clicks by impressions and multiply by 100. If a page received 420 clicks from 18,500 impressions, its CTR is 420 ÷ 18,500 × 100 = 2.27%.
It depends on position. A good organic CTR is one that matches or beats what your ranking normally earns. This calculator expresses that as a CTR index: 100 means you match the planning curve, below 80 means the snippet is losing clicks.
Studies disagree because they measure different queries, but most place the top organic result somewhere around 20–40% on plain results pages. The dexocalc planning curve uses a conservative 25% and lowers it when ads or an AI Overview appear.
Yes, on average. Ahrefs found the top-ranking page's CTR was 34.5% lower when an AI Overview appeared, and Pew Research Center found users clicked a traditional result on 8% of visits with an AI summary versus 15% without one.
In Google Search Console, open Performance, then Search results, and enable Total clicks, Total impressions and Average position. Filter by page or query for a fair comparison.
Common causes are a title that doesn't match the searcher's intent, a well-known brand ranking above you, truncated titles, or SERP features such as AI Overviews, videos and shopping results pushing your listing down the screen.
Multiply impressions by the target CTR and divide by 100. For 18,500 impressions and a 4% target you need 740 clicks. Use the Clicks needed mode to calculate it instantly.
Divide the clicks you want by your CTR as a decimal. At a 2.5% CTR, 1,000 clicks needs 1,000 ÷ 0.025 = 40,000 impressions.
Google has not confirmed click-through rate as a direct ranking factor, and it is a noisy signal. Treat CTR as a measure of how well your snippet converts visibility into visits, which directly affects your traffic either way.
The CTR formula is the same for any channel, so the Find my CTR mode works for ads and email too. The position comparison and CTR index, however, are built for organic search results.
Manzoor Ahmad
Web developer & SEO specialist · 13+ years
I have spent more than 13 years building and ranking websites, and I read CTR by position in Search Console every week across my own calculator sites. This tool is the exact check I run before rewriting any title. Read my full profile.
Published and last reviewed: October 24, 2026
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Sources & references
- Google Search Console Help. Performance report: clicks, impressions, CTR and position.
- Google Search Central. Influencing title links in Google Search.
- Google Search Central. Control your snippets in search results.
- Ahrefs (2025). AI Overviews reduce clicks by 34.5%.
- Pew Research Center (2025). Google users are less likely to click on links when an AI summary appears in the results.
The expected CTR values are planning estimates, not Google data. Real click-through rates vary by query, device, location and results-page features. Use your own Search Console averages for decisions about important pages.