Dashboard Tabs

Learn about the dashboard tabs in Einstein Recommendations reports.

Tab	Description
Summary	Provides a high-level view of Einstein Recommendations for email and the web. You can select the time frame, view the data as a graph, and choose the export format.
Recs and Recs by Scenario	Web recommendation metrics by page and scenario
Email	Email recommendation metrics are separated by marketing campaigns and triggered campaigns, and by hash code and scenario
Site Details	Full site tracking data by day, including Einstein Recommendations influenced and direct metrics
Contacts	Search for subscribers by email address. View user profile data including affinities, past activity, and current cart items. View affinity attributes and weights for a specific user. If you implemented Collect Tracking Code, you can also use this data by querying the PI_PROFILES data table. Subscriber top 5 affinity values are shown in the table on the right. These affinities are also held in the profiles data extension when Collect Tracking Code data is integrated for your account. The left table shows the importance of attributes to the subscriber’s site decisions. Affinities are created through combined purchases, clicks, and views.
Admin Tools	View data for products and lists used within Einstein Recommendations. Search by SKU or ProductCode to: Show all the item properties reflected by the most current Catalog update. Manually mark an item out of stock. The Catalog Online Availability field overwrites this value with the next catalog import. View algorithm lists the item is included in. Search for lists by typing in part of the corresponding scenario logic name, like ‘new’ or ‘bought’. Einstein Recommendations uses list data connected to each scenario when determining which item to recommend Search for scenario list and view all current items on that list Weight represents the item’s overall enjoyment score, which is calculated based on purchases, clicks, and views

Displays by Item Report
Retrieve a report in Einstein Recommendations that displays the number of email recommendations by product code. This report is accessible through the email tab in Email Recommendations reporting.