SERP Click Through Rate: Build Your Own Curve From Search Console Instead of Borrowing One

SERP click through rate is the share of people who saw your result on a search results page and clicked it: clicks divided by impressions. It falls steeply with position, but the exact curve depends on the type of query, whether the search is for a brand, and which features share the page. The reliable curve for your site comes from your own Google Search Console data, grouped by position.

What the number measures

Google Search Console reports clicks, impressions, click through rate and average position for each query and page in its Performance report (Search Console Help, read 12 October 2026). An impression is counted when your result appears on a page of results, and a click is counted when someone follows it. CTR is the second divided by the first, shown as a percentage.

Two details trip people up. First, average position is an average across every time the result appeared, so a query that sometimes ranks at 2 and sometimes at 12 shows a position near 7 and tells you little. Second, an impression can be counted even if the result sat below the visible part of the screen, so low positions carry low CTR for reasons that have nothing to do with your title.

Why published curves disagree

You will find charts online that claim a fixed click rate for each position. Different studies publish different numbers because they sample different query sets, different industries and different years. A chart built from informational queries does not describe a navigational brand search, where the first result takes most clicks. Treat any such chart as a rough shape, with position one far above position five, and measure the exact figures yourself.

The main reasons a curve moves:

• Brand versus non brand. People searching for your name click your result at a much higher rate than people searching for a topic.
• Query intent. A search with a clear answer on the page, such as a conversion or a definition, produces fewer clicks than a search that needs a visit.
• Features on the page. Ads, maps, video blocks, shopping results, "people also ask" boxes and AI answers all take up space and attention above and around organic results.
• Device. Mobile pages push organic results lower than desktop, and the position that sits on screen changes.
• Your snippet. A clear title, a useful description and a recognisable site name win clicks at the same position.

Build your own curve in an hour

1. Open the Performance report in Search Console and set the date range to the last three months, or longer if your site is small.
2. Filter the queries to exclude your brand name, using a "does not match regex" filter on the names people use for you.
3. Export the query level data, with clicks, impressions, CTR and position, to a spreadsheet.
4. Round the position to the nearest whole number to make buckets, then add up the clicks and impressions in each bucket.
5. Divide clicks by impressions per bucket. Put the result in a chart.

Repeat for brand queries and keep that curve on a separate line. The two will sit far apart, which is why a single blended number misleads. The result is a curve for your site, your topics and your snippets. It is the benchmark that matters when you ask whether a page is under performing.

Find the pages that sit below your own curve

Compare each page's CTR with your curve at the same position. A page whose CTR is clearly below the curve has a snippet problem, and the fix is cheap: rewrite the title and description. A page whose CTR matches the curve but ranks low has a ranking problem, which is a different job.

What you see	What it means	What to do
High impressions, CTR below your curve	Result is seen but not chosen	Rewrite title and description to match the search
CTR in line with your curve, position lower than you want	Snippet is fine, ranking is the limit	Improve the page and its internal links
CTR above your curve	Snippet is working	Copy its pattern on similar pages
Impressions and CTR both falling	Demand or page features changed	Check the results page for new features

Changes that raise SERP click through rate

• Put the matching phrase and the benefit in the title. The searcher scans for their own words. Keep the title short enough to show in full.
• Write the description as an answer to the query. Google often rewrites it, yet a clear one is still used for many searches.
• Add structured data where it applies. Review stars, product price and recipe details can earn richer displays when the page is eligible and the markup is valid.
• Use a clean URL and a recognisable site name. Trust is part of the click.
• Test one change at a time. Record the date, wait for enough impressions, and compare the page against the same weeks before.

For the plain definition and the formula across channels, see CTR in marketing. For a deeper look at how position itself is measured and why it moves, read keyword rank tracking.

When the answer appears on the page and nobody clicks

Some searches now end on the results page itself. Google's documentation on AI features (read 12 October 2026) says sites that appear in AI Overviews and AI Mode are included in the overall search traffic in Search Console and are reported in the Performance report under the Web search type. That means your impressions can include appearances in an AI answer, and CTR on those queries can look lower than your old curve. Split the report by query type and watch the two groups separately. Our page on zero click search explains what to do with the queries that stop paying clicks.

Questions about SERP click through rate

What is a good CTR for an organic result?

A good CTR is one at or above your own curve for the same position and query type. Averages from other sites describe their queries, not yours.

Does CTR affect rankings?

Treat CTR as a measure of how well your snippet does its job. Work on it for the extra visits it brings, since each point of CTR at a given position is more traffic from the same ranking.

Why does my CTR differ between mobile and desktop?

The page layout differs, so the same position puts the result in a different place on the screen. Filter the report by device and compare like with like.

How long should I wait to judge a title change?

Wait until the page has gathered a few hundred impressions in the period after the change, and compare it with an equal period before.

Why are my impressions up and my CTR down?

Your page started to appear for more queries, often at lower positions, which dilutes the average. Segment by query to see which ones drive the change.

What the assistant shows for the same query

Click through rate counts what happens on a results page, and the same query typed into ChatGPT, Gemini or Perplexity returns an answer with no ranked list to click, so the figure does not exist there. What exists is whether your business or page is named in the answer, and which sources the answer cites. That is a separate result from your position, and it is the one a CTR chart cannot show. AI Knows Us (aiknowsus.com) asks the assistants your most valuable queries and records the names and sources that come back, so the query you just tuned for clicks can be checked for presence too.