Data-backed answers to common SEO debates. No opinions — just numbers.
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.
We compared alt text coverage rates against relative impressions across 19K+ unique pages.
We compared relative impressions and CTR across FAQ pages and articles.
We analyzed the relationship between internal link count and relative impressions across 35K+ unique pages.
We compared CTR for pages with and without different schema types across 105K+ unique pages.
We measured how on-page errors correlate with relative impressions.
We bucketed 35K+ unique pages by load time and compared their relative impressions.
We compared click-through rates for pages with and without OG tags across 35K+ unique pages.
We checked whether valid heading hierarchy correlates with more impressions across 8K+ pages.
We compared relative impressions by how recently content was updated across 7K+ pages.
We analyzed how title tag length correlates with click-through rates across 33K+ unique pages.
We compared CTR across different meta description lengths for 26K+ unique pages.
We compared relative impressions of orphan pages vs well-linked pages across 35K+ unique pages.
We compared listicles, how-to guides, reviews, and more by relative impressions and CTR.
We cross-referenced readability with content length and compared relative impressions.
We analyzed whether internal linking matters more for shorter content using relative impressions.
We bucketed 35K+ unique pages by Core Web Vitals performance score and compared relative impressions.
We measured how page depth from homepage correlates with relative impressions.
We compared JS payload sizes against relative impressions across 8K+ unique pages.
We compared the number of schema types per page against click-through rates across 35K+ unique pages.
We compared relative impressions based on the number of H1 tags across 35K+ unique pages.
We cross-referenced engagement, persuasion, and readability AI scores with relative impressions.
We compared title-content consistency vs description-content consistency by relative impressions.
We compared clean, readable URLs against dynamic or parameter-heavy URLs by impressions and CTR.
We bucketed pages by overall health score and compared relative impressions and CTR.
We compared pages with matching vs mismatched canonicals by relative impressions across 35K+ unique pages.
We bucketed 35K+ unique pages by number of external links and compared relative impressions.
We compared 22K+ unique pages by accessibility score buckets and their relative impressions.
We bucketed 35K+ unique pages by image count and compared relative impressions.
We bucketed 14K+ unique pages by LCP and compared relative impressions.
We compared 35K+ unique pages by AI/crawler traffic and relative impressions.
We bucketed websites by backlink count and compared estimated monthly traffic.
We bucketed websites by domain authority and compared estimated monthly traffic.
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).
Each snapshot captures 170+ data points per page including Core Web Vitals, content quality scores, and Google Search Console metrics. Impressions are shown as relative percentages — the best bucket is 100%.
Data is refreshed weekly. Correlation does not imply causation — these insights show associations, not guaranteed outcomes.
SEOJuice tracks 170+ metrics per page and automatically fixes SEO issues.
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