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@@ -10,31 +10,21 @@ Improve your docs based on quantitative and qualitative data from your analytics
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Combine information from multiple analytics sources to get a holistic view of your documentation.
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### Correlate traffic and satisfaction
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- High traffic + low feedback scores = Popular pages with a bad user experience. Prioritize fixing these pages.
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- Low traffic + high feedback scores =
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hidden gems worth promoting or expanding
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- High traffic + high feedback scores = your documentation's greatest hits
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-**High traffic and low feedback scores**: Popular pages with a poor user experience. Prioritize improving these pages.
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-**Low traffic and high feedback scores**: Documentation that is working well, but might not be discoverable. Consider promoting these pages.
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-**High traffic and high feedback scores**: Your documentation's greatest hits. Review these pages for ideas to improve the rest of your content.
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### Match search intent with content performance
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- High search volume + low page views = discoverability problem
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- Popular search terms + low-confidence results = content gap opportunity
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- Top searches + negative feedback on matching pages = content quality issue
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-**High search volume and low page views**: Discoverability problems. Consider moving these pages or reviewing their frontmatter.
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-**Popular search terms and low-confidence results**: Content gap opportunity. Consider adding more content or new content on these topics.
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-**Top searches and negative feedback on matching pages**: User experience issues. Review the pages to see if they solve the user need that is being searched for.
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### Identify user journey problems
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- Popular referrer sources + high bounce rates = landing page mismatch
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- Frequent searches + immediate negative feedback = users can't find what they need
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- High code snippet feedback + low page ratings = implementation examples need work
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### Find strategic opportunities
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- Rising search trends + no existing popular pages = new content opportunities
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