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Diagnose a traffic drop

Algorithm impact, decay radar, anomaly engine and the fix list.

  • Lesson 4 of 7
  • Intermediate
  • 8 min read
  • 2:42 video
  • Checked against the product 2026-11-03

Listen to this lesson · 2:41

In shortTo diagnose a traffic drop, first confirm it's real and find where it happened: search only, or every channel. Then use the right tool for the shape of the drop: the Anomaly engine for a sudden one-day fall, Algorithm impact for a drop after a Google update, the URL ranking analyzer to see which pages lost clicks, and Content decay radar for slow declines. Finish with a fix list from Site audit, Core Web Vitals and content refreshes.

Start with the shape of the drop

"Traffic is down" can mean five different problems. A sudden fall across every channel is usually tracking. A sudden fall in Google traffic only is often an algorithm update or a technical error such as an accidental noindex. A slow slide over months is content decay. Steady impressions with falling clicks can mean the results page changed, for example an AI Overview now answers the question. The tools are cheap individually, so the skill is picking the right one first.

SymptomMost likely causeStart with
All channels fell on the same dayTracking tag, consent banner or site outageGA4 overview, then Anomaly engine
Only Google clicks fell, around a known updateAlgorithm updateAlgorithm impact
Only Google clicks fell, no updateTechnical change (noindex, redirects, robots.txt)URL ranking analyzer, then Site audit
Slow decline over monthsContent decay or new competitorsContent decay radar
Impressions steady, clicks downResults page changed, often an AI OverviewCTR opportunities, then an AI Overview prompt run
Sessions down, engagement upSpam traffic stoppedSpam purger

The workflow

  1. Confirm the drop and where it happenedOpen Analytics → Search Console → GSC overview, which compares the current period with the previous one, and Analytics → Google Analytics 4 → GA4 overview. If GA4 fell but Search Console clicks didn't, the problem isn't Google. Cost: free. Lessons: Connect Search Console, Connect GA4.
  2. For a sudden one-day fall, run the Anomaly engineOpen Analytics → Google Analytics 4 → Anomaly engine and click Detect Anomaly. It compares the latest day with the same weekday in the last two weeks and splits a drop over 15% by source, country and device. Check the date: the latest day is usually today, which isn't over yet. Cost: per analysis. Lesson: Anomaly engine.
  3. Rule out spam leavingIf sessions fell but engagement rate rose, a spam source may have stopped. Open Analytics → Google Analytics 4 → Spam purger to see which sources had near-zero engagement. Losing spam isn't a real loss. Cost: per analysis. Lesson: Spam purger.
  4. Line the drop up with a Google updateOpen Analytics → Search Console → Algorithm impact, choose the update date and click Analyze Impact. It lists pages that gained or lost more than 10% of clicks around that date. The "after" window always runs from the update date to today, whatever Days After says, and raw totals are compared, so windows of different lengths can look like gains or losses; read the per-page changes, not the headline. Cost: per analysis. Lesson: Algorithm impact.
  5. Find exactly which pages lost clicksOpen Analytics → Search Console → URL ranking analyzer, set the period before and the period after the drop, and read the Clicks Delta column. A handful of pages usually explain most of it. Cost: per analysis. Lesson: URL ranking analyzer.
  6. For slow declines, run Content decay radarOpen Analytics → Search Console → Content decay radar and click Analyze Decay. It lists pages with a steady downward trend, most urgent first. It only includes pages averaging more than 100 clicks a week, so small sites may see none. Cost: per analysis. Lesson: Content decay radar.
  7. If clicks fell but impressions didn't, check the results pageOpen Analytics → Search Console → CTR opportunities to find queries with high impressions and low CTR. For the biggest ones, add the query as a prompt and run it on the Google AI Overview engine in AI search → Brand visibility → Prompt research to see whether an AI Overview appears and whether it cites you. Those Brand visibility runs always use US English results; for another country, use the AI Overview batch check at /dashboard/brand-visibility/ai-overview, which takes a country and language per query (it isn't in the sidebar; see SERP analysis in batches). Cost: CTR analysis per run; the prompt run per engine; the AI Overview check per query. Lessons: CTR opportunities, Run prompts across AI engines.
  8. Turn findings into a fix listFor technical causes, crawl with SEO → Audits → Site audit and check affected templates in SEO → Audits → Core Web Vitals. For decayed or out-ranked pages, refresh them with sharper answers and current facts, using the AI content writer if helpful. Cost: per page crawled, per URL scanned, per article. Lessons: Site audit, Core Web Vitals, Write your first article.

Gotchas

Analyses are charged up front

The GA4 and Search Console analyses are charged when you click, including runs that find nothing. Confirm the drop in the free overviews before you spend credits on analyses.

Search Console data lags

Search Console data usually arrives a couple of days late, so the last days of any period look low. The decay radar and Algorithm impact both end their windows today, so their latest numbers read low too. Don't diagnose a drop from the most recent two or three days alone.

Write down the date and the cause

Log what you found and what you changed in Progress reports → Work completed for that domain. Next month's report can then show the recovery next to the fix.

Check yourself

1. Every channel in GA4 fell by the same share on the same day. What do you suspect first?
2. Impressions are steady but clicks fell for your top queries. Which check fits best?
3. Content decay radar shows nothing on a site with 40 clicks a week per page. Why?

0 of 3 answered.

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Transcript
This playbook shows you how to diagnose a traffic drop without guessing. Traffic is down can mean very different problems. A sudden drop across every channel is usually tracking. A drop in Google traffic only, around a known update, is often the algorithm. A slow slide over months is content decay. And steady impressions with fewer clicks can mean the results page changed, for example an AI Overview now answers the question. So start with the shape of the drop. Step one. Open the Search Console overview and the GA4 overview. Both are free. If GA4 fell but Search Console clicks didn't, the problem isn't Google. Step two. For a sudden one-day fall, run the Anomaly engine. It splits the drop by source, country and device. Check the date it reports, because the latest day is usually today, and today isn't over. Step three. If sessions fell but engagement went up, run the Spam purger. A spam source that stopped isn't a real loss. Step four. If the drop lines up with a Google update, open Algorithm impact, pick the update date and analyse. It lists pages that gained or lost more than ten percent of clicks. The after window always runs to today, so read the per-page changes rather than the totals. Step five. Use the URL ranking analyzer to compare the period before and after. A handful of pages usually explain most of the drop. Step six. For slow declines, run Content decay radar. It only includes pages with more than a hundred clicks a week, so small sites may see nothing. Step seven. If clicks fell but impressions didn't, open CTR opportunities. Then run your biggest queries as prompts on the Google AI Overview engine, to see whether an AI Overview appears and whether it cites you. Step eight. Turn it into a fix list. Crawl with Site audit for technical problems, check Core Web Vitals on affected templates, and refresh decayed pages. Two warnings. The analyses are charged when you click, even when they find nothing, so confirm the drop in the free overviews first. And Search Console data arrives a couple of days late, so don't judge the last few days alone. Log what you found and fixed in Progress reports, so next month's report shows the recovery next to the fix. In the next playbook, you'll get product pages into AI shopping answers.

Put the lesson to work

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