Not enough data to draw a strong conclusion on health score and search performance.
Bottom line: Use health score to find fixes, not to forecast impressions or CTR.
The X-axis shows health score buckets from low to high. Each bucket has two bars for relative impressions and relative CTR. If health score predicted performance, you would see both bars rise steadily across buckets. Instead, the bars jump around, so the relationship is not strong.
Teams love a single “page health score.” It feels like an easy proxy for rankings and traffic. We bucketed millions of pages by health score and compared relative impressions and CTR. The pattern was weak and noisy, so we cannot claim health score predicts search performance.
Compare impressions and CTR inside each template to avoid mixed signals.
Group pages with noindex, bad canonicals, 4xx/5xx, and redirect chains, then clear them.
Pick one change and measure delta in crawl stats, impressions, and CTR after 14–28 days.
Track index coverage, crawl hits, and duplicate rate alongside the score.
Pages that cannot index cannot earn impressions. If you chase score points instead, you may ignore pages stuck in “Crawled - currently not indexed.”
Slow responses cut crawl efficiency and hurt UX. If TTFB stays high, crawlers hit fewer URLs per visit and logs show wasted budget.
Layout shift steals clicks and drops on-page engagement. If CLS is high, CTR may not fall, but conversion often does.
Duplicate titles blur intent and hurt snippet match. If you ignore it, pages compete and impressions spread thin across near-duplicates.
You can raise the score and still lose impressions due to intent mismatch or weak pages.
A few huge directories can hide failing revenue pages in the same score bucket.
You spend weeks on tiny wins while indexability, internal links, and content gaps stay unfixed.
Health scores often suffer from Simpson’s paradox. A “better” bucket can contain more low-demand pages, while a “worse” bucket contains your highest-demand pages. Always test score vs impressions within the same template, query type, and country.
All data comes from real websites tracked by SEOJuice. We use the latest snapshot per page so each page counts once, regardless of site size. We filter for pages with at least 10 Google Search Console impressions and valid ranking positions (1-100).
Data is refreshed weekly. Correlation does not imply causation — these insights show associations, not guaranteed outcomes.
We compared readability scores against relative impressions across 17K+ unique pages.
We analyzed word counts across 35K+ unique pages and compared relative impressions.
We measured how description-to-content consistency correlates with click-through rates.
SEOJuice tracks all these metrics automatically and helps you improve them.
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