Introduction
The eCommerce feature provides access to product and transaction-related data within Mapp Engage. It allows you to manage product information, track user interactions such as purchases or wishlist activity, and use this data for segmentation, personalization, and automation. This feature is a central foundation for eCommerce-driven messaging and analysis.
Common Use Cases
Typical use cases for the eCommerce feature include:
Managing and searching product data that is used across eCommerce-related features
Storing and analyzing transaction data to build segments based on purchase history
Tracking user interest through Wishlist, Abandoned Cart, and Abandoned Browse data
Triggering automations based on changes in product-related user behavior
Personalizing messages with recommended products based on browsing or purchase history
Navigation path
Administration > eCommerce
eCommerce Data Components
Product Catalog
The Product Catalog is a centralized list of all products and their associated attributes, such as productSKU, product name, and price. It is required for several eCommerce-related features and serves as the data basis for product-driven personalization and tracking.
Within the Product Catalog tab, you can:
Manually import product data
Search for products by product SKU
This data is used by other eCommerce tables, including Wishlist and Abandoned Cart.
Triggers
Triggers allow you to define reactions to changes in product-related data. These triggers are typically based on updates to products that users add to a Wishlist or Abandoned Cart.
Within the Triggers tab, you can:
Create triggers
Edit existing triggers
Filter triggers
eCommerce Tables
eCommerce tables are predefined related data tables used to store user interactions and transactional information. These tables enable segmentation and automation based on user behavior.
The available eCommerce tables include:
System Transactions
The System Transactions eCommerce table stores purchase-related data as a predefined related data set. This data can be used to create advanced segments and automations based on transaction history.
Within the System Transactions tab, you can:
Manually import transaction data
Search data by Key Prefix
Set a default transaction currency
Add new columns to the transactional related data set
Wishlist, Abandoned Cart, and Abandoned Browse
These tables store product-related user interactions and depend on data from the Product Catalog.
Within the Wishlist, Abandoned Cart, and Abandoned Browse tabs, you can:
Manually import data
Search data by Key Prefix
Search users by UserPK
Abandoned Browse data is retained for 30 days, after which it is automatically deleted. This retention limit does not apply to Wishlist or Abandoned Cart data.
Recommended Products
Recommended Products enable message personalization by recommending products based on user purchase or browsing behavior. Recommendations can originate from Mapp Intelligence or from pre-calculated data provided to Engage.
Within the Recommended Products tab, you can:
Manually import recommendation data
Search data by Key Prefix
Delete all existing data