Ecommerce companies use Snowplow and Databricks for product analytics by capturing detailed event data with Snowplow and analyzing it with Databricks:

• Snowplow tracks user behavior on e-commerce sites, capturing interactions like product views, add-to-cart actions, purchases, search queries, and abandonment events
• Databricks processes this event data to analyze product performance, sales trends, customer behavior, conversion funnels, and attribution modeling
• Databricks also enables advanced segmentation, demand forecasting, and real-time product recommendations to enhance the customer experience

Snowplow Signals can complement this architecture by providing real-time customer attributes like purchase intent, product affinity scores, and behavioral segments that can immediately influence product recommendations and pricing strategies.