The Data Ecom Stores Ignore (Big Mistake!) — Arv Natarajan | How Analytics Fuel Ecommerce Growth, AI’s Role In Turning Data Into Insights, Tracking Search Terms To Find Customer Intent, Search Vs. Browse Behavior, Null Searches And Missed Revenue (#369)

This interview podcast focuses on data-driven eCommerce search and the crucial role of analytics in improving online store performance. The discussion begins by reviewing the importance of auditing search performance and then delves into how analytics provide actionable insights for improving AI-powered search. Specific examples include using data to identify popular products for marketing campaigns and to inform inventory purchasing decisions. The hosts discuss the day-to-day use of analytics tools, highlighting key metrics like revenue, conversion rates, and search terms, and how these metrics can reveal areas for improvement. Listeners learn how to leverage analytics to understand customer behavior and optimize their eCommerce strategy for increased sales.