Ecommerce Traits
E-commerce traits are structured data points that describe specific user behaviors or contexts in an online shopping environment.
These traits are tracked and stored to help businesses understand visitor actions, personalize their experience, and trigger targeted responses.
For example:
- Show a discount popup after a product view
- Trigger an exit-intent offer when a visitor tries to leave with a cart value over $100
- Recommend related products after an item is added to the cart
In practice, a trait is a signal sent when a certain action occurs — such as when someone views a product, uses search, adds something to the cart, or applies a coupon.
Supported Traits
| Trait | Description |
|---|---|
| Item view | Tracks item detail page views and logs relevant item metadata for analysis |
| Item list view | Captures interactions with item lists or category pages (e.g., filters, sorting) |
| Promotions | Logs impressions and clicks on banners, discounts, or time-limited offers |
| Shopping cart | Records actions related to cart activity such as adding, removing products, or placing orders |
| Coupons | Tracks coupon code usage and assignment during the shopping process |
| Wishlist | Monitors when users add or remove products from their wishlist |
| Share & Review | Captures social sharing and product review activities (e.g., ratings, comments) |
Want to learn more?
Check out this related article: Product List View