Here are four analytics-focused use cases utilizing data extracted from Adobe Commerce through ETL processes:

• Product Performance and Inventory Analysis: Extracting sales, views, and inventory data allows businesses to identify top-selling products, understand stock turnover rates, and optimize inventory management. This ensures popular products are always in stock, while avoiding overstocking slow-moving items.
• Customer Segmentation and Retention: By analyzing customer purchase history, browsing behavior, and demographic information, businesses can segment their customer base. This helps in personalizing marketing campaigns, offering targeted promotions, and understanding factors influencing customer loyalty.
• Shopping Cart Abandonment Insights: Examining data on incomplete transactions and abandoned carts can reveal potential friction points in the checkout process. Businesses can then refine the purchase journey, offer timely incentives, or retarget these potential customers to boost conversion rates.
• Website Performance and User Experience: Analyzing data related to page load times, site uptime, and user navigation paths provides insights into the overall user experience. Businesses can identify areas for optimization, ensuring a seamless shopping experience, which can significantly impact sales and customer satisfaction.

By leveraging the extensive data generated by Adobe Commerce, e-commerce businesses can refine their operations, optimize marketing efforts, and enhance the overall customer shopping experience.