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How to check whether a search traffic drop is real

Learn the checks to run before you treat a fall in search traffic as a problem with your site: unfinished data, known Google data issues, the calendar, demand, and whether Search Console and Analytics agree.

By Dean Cruddace · 45 minutes to do · Updated · Last reviewed

What a real traffic drop looks like

When a chart of search traffic falls, the first assumption is often that something is wrong with the site. Sometimes it is. But the fall can also come from data that has not finished arriving, a known issue in Google's reporting, a yearly pattern, or people searching for the topic less.

Checking whether a drop is real means ruling those explanations out one at a time, using free tools: the Search Console Performance report, Google's data anomalies page, Google Trends and, if you have it, Google Analytics.

Why to confirm the drop first

Each of these checks is cheap and needs no change to your website. Google says the newest data in the Performance report can be preliminary and may change within hours, that collected data is usually available in 2 to 3 days, and that Search Console and Analytics will not match exactly. Settling these points first can save you chasing a problem that is not there. See Google's page on troubleshooting data discrepancies.

What you need to check whether a search traffic drop is real

  • Access to Google Search Console for the site
  • Access to Google Analytics for the site, if it is set up
  • The dates when the drop seems to have started, and your five or so biggest search queries

Check whether a search traffic drop is real, step by step

  1. 1

    Agree the dates and the view

    In the Performance report, fix the date range, comparison period and granularity before comparing anything. Weekly and monthly views smooth out weekends and holidays; daily views spot spikes. Be wary of the last two or three days: the newest data can be preliminary, shown by a dotted line.

    You will know it worked when Everyone uses the same range, comparison and granularity, and you have noted whether the dip sits inside the dotted-line area.

  2. 2

    Check Google's data anomalies page

    Open Data anomalies in Search Console. It lists known events, such as logging errors, that can cause a dip. It also records changes outside your site: it says FAQ rich results stopped appearing in Google Search from 7 May 2026, so reported FAQ impressions fell.

    You will know it worked when You have noted whether any entry matches your dates and the report or search appearance you are viewing.

  3. 3

    Look for a yearly pattern

    Set the range to Last 16 months, as Google's debugging guide suggests, then use Compare for the last 3 months against the previous period or the same period a year earlier.

    You will know it worked when You can see whether last year's chart dipped at the same time.

  4. 4

    Test demand in Google Trends

    Filter the Performance report to one big query at a time and note whether its clicks fell. Then check the same query in Google Trends. Google says this shows whether the drop was only for your site or across the web. Google also says Trends is a sample, scaled 0 to 100, shows low-volume terms as 0, and is one data point among others.

    You will know it worked when For each query you have noted whether Trends interest fell over the same dates as your clicks.

  5. 5

    Split the drop by dimension

    With the comparison on, open each tab (queries, pages, countries, devices, search appearance) and use the search type filter to separate web, image, video and news. Chart and table totals can differ: Google says the table shows at most 1,000 rows and leaves out anonymised queries.

    You will know it worked when You know whether the fall is confined to one search type, country, device or appearance, or is spread across all.

  6. 6

    Compare Search Console with Analytics

    Compare Search Console clicks with Analytics sessions from Google organic search, using the same country and device filters on both. Google says the numbers will not match exactly; what matters is whether the general trends follow the same pattern. A small difference can be ignored, a big one is worth investigating. Daily data in the Performance report is labelled in Pacific Time, so other systems may not match day by day.

    You will know it worked when You can answer yes or no: do both tools show a fall in the same direction over the same dates?

  7. 7

    Write down the baseline

    Google does not describe a write-up format, so this is a practical suggestion, not Google's advice. Note the date range, comparison, granularity, metric, search type and filters, what the anomalies page showed and what Trends showed.

    You will know it worked when A colleague can follow your note and reproduce the chart you describe.

Common mistakes when you check whether a search traffic drop is real

  • Reading a dip in the last two or three days as a real fall when data is still arriving.
  • Comparing charts with different date ranges or filters, then disagreeing about the size of the drop.
  • Treating Google Trends as proof. Google calls it one data point among others.
  • Expecting Search Console and Analytics to match to the click. Google says they will not.
  • Missing a change outside the site, such as a feature Google stopped showing, by checking only the total line.

Terms used when you check whether a search traffic drop is real

Preliminary data
The newest figures in Search Console, still being collected and liable to change within hours.
Data anomaly
A known issue or change on Google's side, such as a logging error, that affects what a report shows.
Google Trends
A free Google tool showing how interest in a search term changes over time, from a sample of searches.
Session
A period during which a person interacts with your website, as counted by Google Analytics.
Not sure the drop is real?

Send Dean the two periods you compared and the figure you saw fall. Checking that the drop is real is the first step before anything is changed.

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