Forecasting and prioritization

Organic CTR by position: the curve, and what a good CTR is

The click-through rate each Google position usually earns, why your own curve differs, and how to tell whether a query's CTR is good for where it ranks.

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Part of SEO forecasting

Organic CTR falls steeply with position: the first result earns several times the clicks of the fifth, and page two earns very little. On the baseline curve we use, position 1 earns about 23.5% of impressions, position 3 about 9.2%, position 10 about 1.8% and position 15 under 1%. A “good” CTR is therefore not one number: it is a CTR at or above what your position usually earns for that kind of query.

The baseline CTR curve

This is the starting curve inside AnotherSEOGuru App's opportunity engine: a blended desktop and mobile curve for non-brand queries on results pages that show AI Overviews. It is a baseline to compare against, not a law. The app blends it with each site's own curve as soon as there is enough data.

PositionExpected CTRPositionExpected CTR
123.5%111.35%
213.5%121.15%
39.2%131.0%
46.6%140.88%
55.0%150.78%
63.9%160.70%
73.1%170.62%
82.5%180.56%
92.1%190.50%
101.8%200.45%
Warning:Average position in Search Console is an impression-weighted average of your top position across every search. A query at “6.4” may rank 3 on some searches and 12 on others, so compare it with the curve, but do not expect it to behave exactly like position 6.

Why your own curve is different

  • Brand queries click far above the curve. Someone searching your name wants you.
  • Results-page layout matters more than position. An AI Overview, a map pack, shopping results or a featured snippet above you pushes the click share of every organic result down.
  • Intent changes the shape. Navigational and transactional queries concentrate clicks on the top result; research queries spread them out.
  • Device mix matters. On mobile, fewer results are visible without scrolling.
  • Your snippet can beat or lose to the results around it at the same position.

How to build your own curve

  1. 1

    Export three months of queries

    Performance → Queries → Export. Three months gives enough rows per position without mixing in old rankings.

  2. 2

    Remove brand queries

    Use a regex filter so your name does not distort the top positions.

  3. 3

    Keep rows with enough impressions

    Rows with fewer than about 30 impressions are mostly noise.

  4. 4

    Group by rounded position

    Round each average position to the nearest whole number and take the median CTR per group. The median resists outliers better than the mean.

  5. 5

    Blend thin groups with the baseline

    Where a position has only a handful of rows, lean on the baseline. Where it has dozens, trust your data. Force the curve to fall with position so position 6 never beats position 5.

The free Search Console opportunity finder does exactly this with your export, then flags every query whose CTR is far below its own curve.

What is a good CTR?

Judge a query against its position, not against your site average. As a working rule, a non-brand query in the top 10 that earns less than 60% of the CTR its position usually earns is underperforming and its title and description are worth a rewrite. A query at or above the curve is fine, even if the number looks small.

QueryPositionCTRExpected at that positionVerdict
Hypothetical query A2.114%≈ 13%Good
Hypothetical query B4.02.1%≈ 6.6%Rewrite the snippet
Hypothetical query C12.50.9%≈ 1.1%Fine: the problem is the position

Query C shows why CTR alone misleads. Its CTR is low because it is on page two; a better snippet will not fix that. That is a striking-distance query, and the work is on the page and its internal links.

Where the curve is used

What is the average CTR for position 1 on Google?
It depends heavily on the query and the results page. On the non-brand baseline curve we use, position 1 earns about 23.5%. Brand queries often earn far more, and queries under a large AI Overview or a shopping block can earn far less.
Why is my CTR low even though I rank in the top 3?
Usually something above you takes the click: an AI Overview, a featured snippet, ads or a map pack. Otherwise your title and description may be weaker than those around you, or the query's intent does not match your page.
Is a CTR curve from a study better than my own data?
Not for your site. Studies are useful as a baseline when you have little data. Once you have enough rows per position, your own curve predicts your clicks better.
Does CTR affect rankings?
Google does not publish CTR as a ranking factor, and claims either way are hard to verify. Treat CTR as a lever for clicks at the position you already hold, which is valuable on its own.

Find these opportunities in your own data

Upload your Search Console export to the free opportunity finder. It runs in your browser, nothing is uploaded and there is no sign-up.

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