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Analytics docs (#874)
* Create analytics.mdx * add to `docs.json` * add page content
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docs.json

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"group": "Guides",
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"pages": [
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"guides/migration",
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"guides/analytics",
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"guides/assistant",
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"mcp",
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"guides/cursor",

guides/analytics.mdx

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---
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title: "Analytics"
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description: "See information about your docs' performance in your dashboard"
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icon: "chart-line"
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---
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The analytics page provides insights into how your documentation is performing, helping you identify improvement opportunities and track changes over time.
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## Accessing analytics
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Navigate to the **Analytics** tab in your [dashboard](https://dashboard.mintlify.com/products/analytics).
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Use the range selector to adjust the time period for displayed data.
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## Analytics tabs
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The analytics dashboard has three main sections:
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### Overview
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View traffic and other high-level insights about your docs.
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- **Visitors**: Unique visitors.
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- **Views**: Total page views.
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- **Actions**: Combined count of API calls, navbar link clicks, and CTA button clicks.
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- **Popular Pages**: Most-visited pages with view counts.
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- **Referrers**: Top traffic sources directing users to your docs.
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### Feedback
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Monitor user satisfaction through voting data:
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- **Liked by viewers**: Pages with the most positive feedback (thumbs up votes).
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- **Needs improvement**: Pages with the most negative feedback (thumbs down votes).
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### Search
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Understand how users search within your documentation.
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- **Total queries**: Search volume.
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- **Top searches**: Most-searched terms.
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- **Low-confidence searches**: Queries that may not have found relevant results.
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## Improving your docs with analytics
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Use your analytics to enhance the user experience of your docs:
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**Review popular content**: Ensure your most-visited pages contain current, accurate information and consider expanding successful topics.
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**Address feedback concerns**: Investigate pages with negative feedback to identify and resolve user pain points.
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**Optimize for search**: Review top search queries so that relevant pages are discoverable and up-to-date. Pay attention to low-confidence searches that might indicate content gaps.

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