Interaction Studio Classic Only
- This use case is intended for customers using Interaction Studio (formerly Evergage Classic) ONLY. For customers using the Interaction Studio 'Campaigns and Templates' application, refer to the Use Case Library instead.
- The Visual Editor Chrome Extension will no longer be available starting January 1, 2023. For more information, see this knowledge article.
Merchandisers constantly attempt to enhance on-site product offerings by promoting new products, brands, styles, and even new colors of existing products. Using Interaction Studio, you can remove the guesswork by automating this process and displaying personalized recommendations of newly released products based on each shopper’s affinities and preferences.
Example
Using Interaction Studio Machine Learning, you can provide individuals with a list of newly released products based on the shopper’s favorite category, brand or style. This tactic drives product discovery and increases engagement.
Segment
No segments are needed for this play.
Measure
You can measure the effectiveness of this Recommendations campaign by tracking revenue per user, conversion rate, and average order value. Depending on the placement of the “new releases” recommendation campaign, other top of the funnel engagement measurements such as the number of product views and time spent will also provide valuable insight.
Setup
Process
Here is a checklist of what you need to do in Interaction Studio to create this play on your own site:
Create a new recipe with "Most Recently Published" ingredient and any other boosters or exclusion needed
Create a new campaign with a inline message (or modify an existing Recommendations campaign) and adjust the Message Settings to point to this Recommendations recipe
Reference Materials
The following articles from the Interaction Studio Knowledge Base will provide process steps to help you execute this play:
Overview
Content Tools