Behavioral data for search captures how users interact with content—clicks, dwell time, scroll depth, and engagement signals—to understand intent more accurately. Search engines and AI systems use this data to refine rankings, personalize results, and deliver more relevant experiences.MOZ has published the latest episode of the Whiteboard Friday video ‘How to Analyze Behavioral Data for Search’ featuring Giulia Panozzo.The MOZ team says, “Learn how to analyze behavioral data to improve your search... [...]

Leveraging behavioral data for search helps refine algorithms by analyzing user interactions, preferences, and engagement patterns. This enables more personalized search results, improving relevance and user experience.MOZ has published the latest episode of the Whiteboard Friday video ‘How to Analyze Behavioral Data for Search’  featuring Giulia Panozzo.The MOZ team says, “Learn how to analyze behavioral data to improve your search performance. Discover the three levels of diagnostic tools — from basic GSC data to advanced neuromarketing metrics — and how to use them to... [...]