Not enough data to draw a strong conclusion. Fixing errors is still good practice for UX and crawlability.
Bottom line: Fix broken links for users and crawling, not because you expect a direct ranking lift.
The x-axis groups pages by on-page error levels. Each bar shows the relative impressions for that error group. Look for consistent increases or drops as errors rise. If bars are close or mixed, the relationship is weak and not reliable on its own.
Broken links feel like an instant ranking penalty. Many SEOs treat any 4xx as a must-fix SEO issue. We compared on-page errors against relative impressions across millions of pages. The pattern was not strong enough to claim broken links alone drive impressions up or down.
Sort by inlink count and fix the highest-impact URLs first.
Prioritize fixes where Googlebot is actively wasting requests.
Patch shared components to remove the widest error footprint.
Catch spikes after deploys before they spread across the site.
Internal 4xx waste crawl paths and break link flow. Let it grow and Googlebot spends more time hitting dead ends.
High-impression pages get crawled more and seen more. Broken links there hurt user tasks and can increase drop-offs.
Header, footer, and module links create thousands of repeats. One bad template link can multiply crawl waste fast.
A clean 301 keeps users on track when content moved. Random redirects can create soft 404s and confuse signals.
This often creates soft 404s and makes diagnostics harder.
You spend time where crawl and UX impact is near zero.
You may chase errors Googlebot never hits.
Separate “broken URL” from “broken internal path.” A single bad link in a global template can create more crawl waste than thousands of old 404s with zero internal links. Use logs to find which 4xx Googlebot requests most, then fix the source link, not just the destination.
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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