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Search analytics is the study and practice of measuring, interpreting, and improving how people search and find information across websites, apps, e‑commerce stores, and enterprise portals. Books in this category explain how to collect and analyze search data—query logs, click‑through and dwell signals, session paths, and zero‑result queries—to uncover intent, diagnose relevance issues, and drive outcomes like engagement, conversion, and sales. They blend foundations from information retrieval and data science (ranking metrics, A/B testing, query classification, machine learning) with SEO, content strategy, and product/UX methods (keyword research, facets, autocomplete, navigation design). Readers learn to build analytics pipelines and dashboards, prioritize fixes, and translate insights into taxonomy, content, and algorithm changes, with attention to governance, privacy, and ethics. This category serves analysts, marketers, product managers, search engineers, information architects, and anyone responsible for making search work better.

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