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A marketer would like to display the most common products purchased by previous buyers along with the main item on a product page, which ingredient would they need to use in the recipe?
The Co-Buy ingredient in a recipe identifies and displays products commonly purchased together.
On a product page, it can recommend complementary items based on the main product being viewed.
Salesforce Interaction Studio Documentation - Recipes and Ingredients
Which two components does a user need to configure in Marketing Cloud Personalization to display Einstein product recommendations via the Marketing Cloud Personalization Connector for Sales and Service Cloud?
To display Einstein product recommendations via the Marketing Cloud Personalization Connector for Sales and Service Cloud, configure:
Catalog Items (Answer A):
Populate and maintain a catalog of products or content to enable recommendations.
Einstein Recipes (Answer C):
Set up personalized recommendation logic using recipes to determine which products are suggested.
Salesforce Marketing Cloud Documentation - Einstein Recommendations Integration
What would a marketer include in a Recipe if they want the visitor's affinity score to be taken into account when showing recommendations?
To include the visitor's affinity score in a Recipe, a marketer would:
Use a Booster to prioritize recommendations that align with the visitor's affinities or preferences.
Boosters allow fine-tuning of recommendations to make them more relevant.
Salesforce Interaction Studio Documentation - Recipe Configuration
What attribute and value is passed in the event API request for returning server side
campaigns?
In the Event API request for returning server-side campaigns in Salesforce Interaction Studio (IS), the attribute Source with the value Server is used. This ensures that the request explicitly identifies that it is for server-side campaigns, distinguishing it from client-side campaigns.
How many total global goals and filters can you define for your dataset in IS?
Interaction Studio allows you to define a maximum of 64 global filters and goals combined per dataset.
These filters and goals help refine data views and track performance based on specific criteria or objectives.
Salesforce Interaction Studio Documentation - Filters and Goals Limits
