Criteria in Adobe Target Recommendations are rules that determine which products or content to recommend based on a predetermined set of visitor behaviors. Criteria can be based on popular trends, a visitor’s current and past behaviors, or similar products and content. You can test multiple recommendation types against each other by adding multiple criteria.
The following sections explain more about criteria keys and the recommendation logic you can use for each key. Click the links for more detailed information.
While creating a criteria, you select an industry vertical based on the goals of your recommendations activity.
|Retail/Ecommerce||Conversion resulting in purchase|
|Lead Generation/B2B/Financial Services||Conversion with no purchase|
Other criteria options change based on the industry vertical you select. You can set your default industry vertical on the Recommendations > Settings page or you can specify the industry vertical for each criteria.
The algorithm type you select determines the available algorithms. There are several algorithm types, which are represented as criteria cards when you set up a Recommendations activity.
The following table explains the various algorithm types and their accompanying algorithms.
|Algorithm type||When to use||Available algorithms|
|Popularity-Based||Make recommendations based on the overall popularity of an item across your site or based on the popularity of items within a user’s favorite or most-viewed category, brand, genre, and so forth.||
|Item-Based||Make recommendations based on finding similar items to an item that the user is currently viewing or has recently viewed.||
|User-Based||Make recommendations based on the user’s behavior.||
|Cart-Based||(Coming Soon) Make recommendations based on the user’s cart contents.||
|Custom Criteria||Make recommendations based on a custom file you upload.||
For more information about each algorithm, see Base the recommendation on a recommendation key.
You can also base recommendations on the value of a custom profile attribute.
For example, suppose that you want to display recommended movies based on the movie that a user most recently added to the queue.
Click Recommendations > Criteria.
Click Create Criteria > Create Criteria.
Fill in the information in the Basic Information section.
In the Recommended Algorithm section, select Item Based from the Algorithm Type list.
Select People Who Viewed This, Viewed That from the Algorithm list.
Select your custom profile attribute from the Recommendation Key list (for example, Last Show Added to Watchlist).
You can view criteria details on a pop-up card by hovering over a card and by clicking the Information icon on a criteria card without opening the criteria.
Click the Algorithm Info tab to view general information about the selected criteria, including its Name, Descriptions, Industry Vertical, Page Type(s), Recommendation Key, Recommendation Logic, and Algorithm ID.
Click the Algorithm Usage tab to view a list of activities that reference the selected criteria. The card lists active, inactive, and draft activities. Click the Live Activities/Inactive Activities/Draft Activities drop-down lists to view the entire list of activities that reference that criteria. You can click the activity link to open the activity for editing.
The Algorithm Usage feature is currently supported for Recommendations activities only. This feature is not currently supported for A/B Test, Auto-Allocate, Auto-Target, and Experience Targeting (XT) activities that include recommendations as an offer.