What is a good CTR in Google Search Console?

There is no single good click-through rate. CTR in Search Console is clicks divided by impressions, and it moves with your average position, with whether the query contains your brand name, and with how much of the results page other elements take up. A 3% CTR can be excellent for one query and poor for another. The benchmark that works is your own site's CTR at the same position.

How does Search Console calculate CTR?

Google's Performance report help defines CTR as the click count divided by the impression count. Two details shape the number:

• An impression is a sighting, not a visit. It counts each time a link to your site appeared in results, even far down a page the searcher never scrolled. Ranking on page two for many queries therefore adds impressions with almost no clicks.
• Position is your topmost result. Average position uses the highest spot your site held for each search, averaged over all of them.

That is why a site-wide average CTR is a weak signal. If you start ranking for hundreds of new queries at position 30, impressions jump, CTR falls and clicks may still rise. The average got worse while the site got better.

What changes CTR besides position?

• Brand queries. Searches that include your name are usually clicked far more often than generic ones, so keep them separate when you judge performance.
• The rest of the results page. Ads and other search features above your result compete for the same click.
• Your title link and snippet. Google writes these automatically, but mainly from your page: the <title> element, the main heading and the meta description all feed into them, according to its guides to title links and snippets.
• Intent match. A result whose title promises something different from what the searcher wants gets skipped, whatever its position.
• Device and country. CTR at the same position often differs between mobile and desktop, and between markets.

How to judge your own CTR

1. Open the Performance report, switch on Average CTR and Average position, and look at the Queries tab for the last three months.
2. Set aside queries that contain your brand name.
3. For each rounded position from 1 to 10, work out your typical CTR: total clicks divided by total impressions of the queries at that position.
4. List the queries with plenty of impressions whose CTR is well below the typical figure for their position.
5. For each, look at the page that ranks: does its title answer the query, and does the snippet show why someone should click?

A query at position 4 clicked half as often as your other position-4 queries is a far better lead than a query at position 25 with a low CTR; that second one needs a better ranking, not a better title.

How AutoPSEO helps

CTR Benchmark does steps 3 and 4 for you. It fits an expected-CTR curve to your own data for positions 1 to 20, falls back to a default curve where a position has too few impressions to trust, and lists the queries and pages clicked more or less often than expected, with the clicks a fix could add. The content engine runs a similar check on the articles it manages: one shown at positions 8 to 20 with 30 or more impressions, but clicked less than 60% as often as a typical result there, gets an optimisation task for its title, meta description and direct answer (content maintenance). For the fixes themselves, see the title tag rewrites playbook.