B2C Commerce Einstein and Data

B2C Commerce Einstein needs input data that it gathers from shopper activity. Einstein uses this data for benchmarking and analysis to make intelligent data-driven personalization possible.

Using gathered data, Einstein can:

• Personalize recommendations.
• Personalize search results and category grid sorting.
• Identify new search synonyms.
• Analyze shopper baskets to identify products commonly purchased together.
• Provide shoppers with type-ahead search guidance, recent personal searches, and popular storefront searches.

To provide this level of shopper personalization, Einstein gathers and uses data from three sources:

Data source	Description
Catalog	To collect product information from your catalog, run a catalog feed against your production instance.
Orders	To collect order information from your storefront, run an order feed against your production instance.
Clickstream	Clickstream data is automatically collected from your site in real-time using pixel tracking; you don't perform any action to collect this data. The following activities are automatically tracked: Product View Add To Cart Finish Checkout View Recommendation

B2C Commerce Einstein uses machine-learning models to analyze the collected data.

• Einstein Data Usage by Feature
  As an Einstein customer, it is important for you to know what data is being used in B2C Commerce and B2B Commerce products. This table lists the data that is used by each feature.