Interaction Studio Classic Only
This use case is for customers using Interaction Studio Classic (formerly Evergage Classic) ONLY. For customers using the Interaction Studio 'Campaigns and Templates' application, refer to the Use Case Library instead.
SmartBundle is an Einstein Recipe ingredient that makes it possible for you to configure recommendation recipes so that a “bundle” of items is suggested from multiple, predetermined product or content categories. Using SmartBundle, you can control what is recommended to visitors while they are engaged with particular products and content items, eliminating the need for merchandisers to spend time manually curating “complete the look” campaigns. This machine learning algorithm looks at products purchased together and scores them against a shopper’s affinities towards brand, color, category in order to make the most relevant recommendation for that shopper to “complete the look”.
No segment is required for this play.
A typical goal you should measure when using this machine learning algorithm for merchandising is an increase in AOV.
Here is a checklist of what you need to do in Interaction Studio to create this play on your own site:
Determine placement and behavior. For example, will SmartBundle work best on the cart page, within a checkout modal, as part of an exit intent message, or within the PDP? What behaviors should trigger inclusion of SmartBundle? Does customer simply view an item detail? Does this augment or replace any other recommendations campaigns on the page?
Create a recipe based on the SmartBundle base ingredient
Ensure you have an item template that will match the look and feel for your placement
Create a new campaign within Interaction Studio’s Visual Editor
Include the appropriate messaging and Item Template
In the message settings for each experience, ensure the item template is set for Promoted Content using the SmartBundle recipe you’ve created
Test and launch as you would any other campaign
The following articles from the Interaction Studio Knowledge Base will provide process steps to help you execute this play: