Learn how the data from Einstein Recommendations integrates with Audience Builder. You can use this data to filter and segment subscribers.
The Einstein Recommendations integration with Audience Builder provides a set of standard ecommerce dimensions based on these data points:
- Products Purchased
- Products Browsed
- Search Term
- Visits and User Affinity
Each dimension provides filter categories used to segment an audience that you can export into Email Studio for targeted campaigns. These filter categories are included.
| Products Purchased | Products Browsed | Search Term | Visits and User Affinity |
|---|---|---|---|
| Product Name (LTD) | Browse Event Count (LTD) | Search Browse Event Count | Days Since Last Visit |
| Product Name (30, 60, 90 days) | Name | Term | Average Days between Visits |
| Purchased Date | SKU | Date | Average Time on Site |
| Purchased Days (date range) | Date | Days | Behavioral User Affinity |
| Product SKU | Days | ||
| Product SKU (30, 60, 90 days) | Attribute | ||
| Attribute | |||
| Days Since Last Purchase | |||
| Average Order Value | |||
| Average Days Between Purchases |