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Deciphering the Search_Query Table: Unleashing the Power of eCommerce Intelligence in Magento 2

Deciphering the Search_Query Table: Unleashing the Power of eCommerce Intelligence in Magento 2

Magento 2's 'search_query' table offers key insights into customer behaviors, search functionality, and trends, going beyond simply storing search terms. Including key fields like 'query_text', 'num_results', 'popularity', and 'store_id', it provides a real-time picture of customer preferences. Generating search suggestions based on past searches, it improves the shopping experience and increases potential sales.

However, managing the search_query table, especially deciding to clear it, can potentially impact its functionality and user experience. Despite the potential benefits, customization also has challenges. Experts like Sanjay Jethva of Meetanshi leverage the search_query table to predict customer behavior, enhance user experience, and drive eCommerce's future, turning raw data into actionable sales-driving insights. Balancing the benefits and challenges of this tool is the key to eCommerce success.

Full article here: https://medium.com/@lawsuithelpdesk/deciphering-the-search-query-table-unleashing-the-power-of-ecommerce-intelligence-in-magento-2-4311e3157513

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