The article "Unlocking the Power of Search in Magento 2: Leveraging User Queries for Enhanced Customer Experience & Business Insights" discusses the search_query table in Magento 2. This table records all user queries in an online store's search box, providing data for customer behavior analysis. The information can be used for predictive search suggestions, tracking popular search terms, SEO strategy customization, and more. The table has different fields – query_text, num_results, popularity and store_id, each offering unique insights. These can improve personalized search suggestions, inventory management, and marketing strategies. Catering to different search habits across various regions or languages enhances the SEO strategy and global reach. The search_query table is a valuable data resource and using it effectively contributes to customer satisfaction and business success.
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