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 eCommerce Coffee Break podcast episode focuses on the crucial role of analytics and reporting in boosting eCommerce success. The interview with Arv Natarajan of GroupBy builds on a previous episode about AI-powered search personalization, delving into how analytics improve AI search by providing data-driven insights into customer behavior (searches, clicks, purchases). Natarajan emphasizes the importance of daily monitoring of key metrics like revenue and conversion rates, using tools like Shopify's built-in analytics or third-party apps like GroupBy to identify areas for improvement (e.g., addressing unmet customer needs revealed by search terms). The discussion highlights how analyzing search data can reveal opportunities for product development or targeted marketing campaigns, ultimately leading to increased sales and a better customer experience. GroupBy's pricing model, based on the number of search queries, is also explained.
