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Everything about Search analytics

Search analytics is the use of search data to investigate particular interactions among web searchers, the search engine, or the content during searching episodes. The resulting analysis and aggregation of search engine statistics can be used in search engine marketing (SEM) and search engine optimization (SEO). In other words, search analytics helps website owners understand and improve their performance on search engines based on the outcome. For example, identifying highly valuable site visitors or understanding user intent. Search analytics includes search volume trends and analysis, reverse searching, keyword research, search result and advertisement history, advertisement spending statistics, website comparisons, affiliate marketing statistics, multivariate ad testing, etc. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Search analyticsA 5-minute orientation
  2. Skim a recent paper: A global federated real-world data and analytics platform for researchInfluential work since 2022
  3. Pick up a classic book: Google AnalyticsThe most-reprinted book on the subject
  4. Read the landmark paper: Big data and data analytics in auditing: in search of legitimacyCited 63 times
  5. Go sideways: Web analyticsA closely related topic
  6. Go sideways: Search engine scrapingA closely related topic

📖 Definitions

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🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

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