Metrics and Tools

Search Performance Reports Explained

What impressions, clicks, click-through rate and average position mean in a search performance report, and how to read them without over-trusting the numbers.

On this page
  1. What the report is
  2. The main figures
  3. Common ways people misread it
  4. Useful ways to look at the data
  5. Other sections you may find
  6. A sensible routine

What the report is

Search engines typically give site owners a free report showing how a site appeared in search results. It is built from the engine’s own records of when your pages were shown and clicked, which makes it one of the most direct sources about search visibility. It is not a complete picture of your traffic or your business, but it is a good place to see how people reach you from search.

Reports usually require you to verify that you own the site, and they only start collecting data from that point, so a new report will often look sparse at first.

The main figures

Impressions. An impression is counted when a link to your site appeared in a set of results. The exact rules vary: in some cases a result counts even if the person never scrolled far enough to see it. An impression therefore means “had a chance to be seen,” not “was read.”

Clicks. A click is counted when someone selects your result and lands on your site. Clicks are generally more meaningful than impressions, but they leave out people who saw your name and typed your address later, or who clicked and left immediately.

Click-through rate (CTR). This is clicks divided by impressions. If a page had 200 impressions and 10 clicks, the rate is 10 divided by 200, which is 0.05, or 5 percent. These numbers are hypothetical. The rate depends heavily on position, on the type of search, and on whether other items on the page, such as maps or answer boxes, take attention. A low rate is not automatically a problem.

Average position. This summarizes where your result sat in the list, averaged over all the impressions in the chosen filter. Smaller numbers mean higher placement. Because it is an average, it can hide a lot. A page that showed in position 2 for one phrase and position 40 for another may show a middling average that describes neither situation.

Common ways people misread it

Treating average position as a ranking. Results vary by location, device, and the individual’s past activity. There is no single position your page occupies. Use the figure for direction over time, and for comparing one period with another.

Judging by a single day. Daily data is noisy. Look at weeks or months, and compare with the equivalent period in a previous year if the subject is seasonal. Reading data over time is covered under metric interpretation.

Forgetting the filters. Totals change depending on whether you are viewing the whole site, one page, one query, one country or one device. Always check the filters before comparing two screens.

Mixing up the site total with a page. A site’s total clicks may rise because one page took off, while others fell. Breaking the data down by page shows where movement came from.

Reading too much into rare queries. Search engines may withhold some very rare or private queries from reports, so the list you see is typically not the full list. The totals and the sum of listed queries may not match.

Assuming more impressions is always good. If impressions jump because your page began appearing for loosely related phrases, clicks may not follow, and your average position may seem to worsen even though you have gained visibility. A change in one number often has to be read alongside the others.

Useful ways to look at the data

  • Pages with many impressions and few clicks. The page is being shown, but the result may not look relevant or appealing. Review the title and description, and whether the page really matches what searchers wanted. That fit is discussed under search intent.
  • Queries where you appear at the bottom of the first page or the top of the second. These may be pages that are close to being visible and could merit improvement, though no outcome is guaranteed.
  • Queries you did not expect. These reveal how people actually describe your topic, which can feed ideas about content gaps.
  • Brand versus non-brand queries. Searches containing your own name show people who already know you. Other queries show discovery. Splitting them gives a truer view of growth.
  • Changes after a site update. Compare weeks before and after, and keep a note of what you changed so the dates line up.

Other sections you may find

Many reports also include sections on indexing, where you can see which pages are stored and which are not, and why. The question of why pages are left out is the focus of indexing gaps. There may also be reports on page experience, mobile usability and security, which overlap with the work of core web vitals and checking for mobile friendliness. Treat flagged issues as leads to look into rather than verdicts.

A sensible routine

  1. Pick a fixed date range, such as the last three months compared with the previous three months.
  2. Check total clicks and impressions for direction.
  3. Look at the pages with the biggest changes, up or down.
  4. Review a handful of important queries for reasonableness.
  5. Note anything you plan to follow up on, and record the date.

Keep the routine short enough that you will actually repeat it. The report cannot say why people behaved as they did or whether they got what they needed after clicking, so combine it with your own analytics and your goal-based indicators. No figure in it is a guarantee of future performance.

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