Organic Search CTR Calculator
Calculate organic search CTR from Search Console data, and see how steeply click share falls by position. Free, no sign-up.
For email: emails delivered. For organic: Google search views.
Click-through rate
1.42%
14.2 clicks per 1,000 impressions.
- Impressions per click
- 70.6
How many views it takes, on average, to earn one click.
Typical ranges worth anchoring to: paid search roughly 2-6%, display well under 1%, email click rates 1-5% of delivered, and organic results falling steeply from the top positions. CTR is a diagnosis, not a goal β a curiosity-bait headline can raise it while conversions fall.
Starting values are set for a typical organic search scenario β change any field to match yours. Need the plain version? CTR Calculator.
About this scenario
Organic CTR behaves like no paid channel: position does almost all the work. Industry click studies consistently show the first organic result taking a large multiple of the clicks β figures in the mid-twenties to high-thirties percent depending on the study β decaying steeply through the page until position ten collects around two percent. The same page, one position up, can double its clicks without a single content change.
Search Console hands you the inputs β clicks and impressions per query β and this calculator turns them into the rate. Then the sections below show how to read it: why your CTR is a position report in disguise, and where a title change is worth more than a thousand words.
The shape of the curve you're on
Approximate shares from public click-curve studies β exact figures vary by study and query type, but the shape never does:
| Position | Typical CTR band | Reading |
|---|---|---|
| #1 | ~25β40% | The default answer for most searchers |
| #2β3 | ~10β20% | Visible, competitive, worth fighting for |
| #4β10 | ~2β8% | The optimization battleground |
| Page 2 | ~1% or less | Effectively invisible for most queries |
Your blended CTR is a portfolio, not a number
- Search Console's site-wide CTR mixes branded queries (high CTR, low volume) with generic ones (low CTR, high volume). Filter to query clusters before diagnosing anything.
- Low CTR with high impressions is the opportunity flag: a page earning impressions at a 0.8% CTR is being shown and rejected β usually a title and meta description that fail to promise the query's answer.
- Featured snippets, AI overviews and other SERP features absorb clicks above the classic positions β an impression with no click may be an answer Google showed directly, not a failure.
- Position gains compound: moving #6 to #3 often multiplies clicks more than the position numbers suggest, because you cross both the fold and the trust line.
The title-and-description lever
- For pages with impressions but weak CTR, the title tag is the highest-leverage edit on the site: put the query's actual words in the title, front-loaded.
- Write the meta description as the ad copy for the query β the promised answer, not the page's biography. Google may rewrite it, and often does when it matches better.
- One CTR point on a high-impression page dwarfs content work elsewhere: 60,000 impressions moving from 1.4% to 2.1% is 420 extra clicks a period for an afternoon of editing.
- Re-measure 2-4 weeks after any title change β Search Console data lags, and the before/after query-filtered CTR is the only verdict that counts.
Frequently asked questions
What is a good organic CTR?
It depends almost entirely on position and query type. Top positions commonly take twenty to forty percent of clicks, mid-page single digits, and page two near zero. Branded queries run far higher. Compare your page's CTR against the band for its average position β Search Console shows both β not against a site-wide average.
How do I find my organic CTR?
Search Console's Performance report gives clicks and impressions per page and per query; divide them. Filter to a single query cluster first β the blended site-wide CTR averages away exactly the pages that need help.
My impressions are high but CTR is low β what does that mean?
Google is showing the page and searchers are choosing something else. At scale that is a title-and-snippet problem: the result doesn't promise the query's answer convincingly. Rewrite the title to lead with the query's words, make the description a specific promise, and re-measure in a few weeks.
Do AI overviews and featured snippets change the CTR curve?
Yes β SERP features that answer the query directly absorb clicks that the classic blue links would have taken. A falling CTR with stable position can mean Google now answers the query on the results page itself. Check whether the affected queries are informational; the fix is content Google needs to cite, not just rank.
How much is one position worth?
On typical curves, moving up one position in the #3β#8 range often multiplies clicks by a meaningful fraction β and crossing from page two to page one changes the order of magnitude. This is why position-adjacent optimization (internal links, content depth, title CTR) concentrates returns on pages already near the top.
Can I use this calculator for paid results too?
The arithmetic is identical β clicks divided by impressions β and the tool measures any campaign. But organic and paid CTR live on different curves: compare each against its own channel's bands and trends, never against each other.