Search Console Performance Diagnosis
Interpret impressions, clicks, and click-through data.
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Interpret impressions, clicks, and click-through data from a search performance report. Site: [SITE]. Date range and comparison range: [DATE_RANGES]. Data (queries, pages, countries, devices with impressions, clicks, click-through rate, average position): [PASTE_DATA]. What changed recently (site changes, content, seasonality): [RECENT_CHANGES]. Take each pattern through the tree: 1. Impressions down: IF the drop is site-wide THEN check technical causes (indexing, errors, a release, seasonality, tracking change). IF specific pages or queries THEN check content changes and competitors. 2. Impressions up and clicks flat: check position (page two), search features that take clicks, and title and description fit. 3. Position good but click-through low: rewrite titles and descriptions; check whether other results hold features. 4. Position 8 to 20 with many impressions: opportunity for improvement; list the pages. 5. Clicks down, position stable: check for features, brand queries, devices, and measurement changes. 6. Query lists with new terms: content or intent opportunities. Output a table: Pattern | Evidence from my data | Likely causes (ranked) | Check | Action. Add the five biggest opportunities with an expected-effect hypothesis, a note that averages hide variation, and a weekly review routine. Don't claim causes the data cannot show.
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