Key Performance Indicators (KPIs) to track crawl budget success focus on measuring how effectively search engines crawl and index your website, ensuring optimal use of your crawl budget. The essential KPIs include:
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Crawl Frequency: How often search engine bots crawl your website or specific pages. Increased crawl frequency on important pages indicates better crawl budget allocation.
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Indexing Speed: The time it takes for crawled pages to be indexed by search engines. Faster indexing suggests efficient crawl budget use.
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Crawl Errors and Anomalies: Monitoring server errors, crawl anomalies, and broken links helps identify crawl budget waste and technical issues that reduce crawl efficiency.
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Organic Traffic Growth: Tracking organic traffic trends can indirectly reflect crawl budget effectiveness, as better crawling and indexing often lead to improved visibility and traffic.
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Server Response Time and Site Performance Metrics: Metrics such as server response time and Core Web Vitals (Largest Contentful Paint, Interaction to Next Paint, Cumulative Layout Shift) influence crawl capacity and health, affecting how many pages can be crawled during a crawl session.
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Crawl Stats from Search Console and Server Logs: Regular analysis of crawl stats and server logs reveals patterns in crawl behaviour and helps detect issues early.
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Content Freshness and Update Frequency: Pages updated frequently tend to be crawled more often, so tracking content update schedules can be a KPI for crawl demand.
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Number of Pages Crawled per Crawl Session: Indicates crawl capacity and efficiency; higher numbers suggest better crawl budget utilization.
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Crawl Budget Waste Metrics: Identifying and reducing crawling of low-value or duplicate pages improves crawl budget efficiency.
These KPIs provide a comprehensive view of crawl budget success by combining technical performance, crawl behaviour, and content factors. Continuous monitoring and proactive management based on these indicators help optimize crawl budget and improve search engine indexing and ranking.
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