E-commerce Product Analytics is the specialized analysis of how users interact with the products listed on an online store. It moves beyond overall site metrics to provide a granular understanding of which products are resonating with customers and why. This analysis focuses on metrics at the individual product or category level, such as: Impressions: How often a product is viewed in search results or on category pages. Clicks/Views: The number of times a product detail page (PDP) is loaded. Add-to-Cart Rate: The percentage of viewers who add the product to their cart. Cart Abandonment Rate: The percentage of users who add the product but don’t buy it. Purchase Rate: The ultimate conversion metric for the product. Sales Velocity: The number of units sold over a given time period. Analyzing this data helps answer critical business questions: Which products are the most popular? Which products have high visibility but low conversion, indicating a potential issue with the listing or price? Which products are frequently purchased together (affinity analysis) for bundling or cross-selling opportunities? Product analytics is essential for making data-driven decisions about merchandising, promotions, inventory planning, and product assortment. It ensures that the products presented to customers are the ones most likely to sell.
Return on Ad Spend (ROAS)
A metric that measures the revenue earned for every dollar spent on advertising. (Revenue from Ad Campaign / Cost of Ad Campaign).
