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NEW QUESTION # 75
Which two success metrics can a company achieve with Marketing Cloud Personalization on their web channel?
Answer: B,D
Explanation:
Increase in Conversion Rate: Marketing Cloud Personalization enables targeted and dynamic recommendations, driving higher conversion rates.
Increase in Revenue: By improving engagement and personalization, it directly impacts overall revenue.
Salesforce Marketing Cloud Personalization Success Metrics Guide.
NEW QUESTION # 76
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?
Answer: B,D
Explanation:
To displayEinstein product recommendationsvia 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.
References:
* Salesforce Marketing Cloud Documentation - Einstein Recommendations Integration
NEW QUESTION # 77
What are the three types of ingredients available for a recipe?
Answer: A,B,D
Explanation:
Within the context of Salesforce Marketing Cloud ' s Interaction Studio (formerly Evergage), " recipes " are pre-built configurations for personalized recommendations. These recipes utilize different types of " ingredients " to determine which items to recommend. Let ' s break down the correct options:
A). Catalog-based and Trending
Verified: This is a type of ingredient used in Interaction Studio recipes.
Catalog-based: This ingredient leverages data from your product or content catalog. It can recommend items based on various catalog attributes like:
Category: Recommending items from the same or related categories as items the user has viewed or interacted with.
Attributes: Recommending items that share specific attributes (e.g., color, brand, size) with items the user has shown interest in.
Keywords: Recommending items whose descriptions or metadata match keywords derived from user behavior.
Trending: This ingredient considers the overall popularity or trending status of items within your catalog, often within a specific timeframe (e.g., " Trending in the last 7 days " ).
Salesforce Marketing Cloud References:
Interaction Studio Recipes: The Interaction Studio documentation describes the various recipe types and the ingredients they use.
B). Recommendations
Verified: This is a broad category encompassing ingredients that generate recommendations based on various algorithms.
Recommendation Algorithms: Interaction Studio employs different algorithms to generate recommendations, including:
Collaborative Filtering: Recommending items that similar users have liked or interacted with.
Content-Based Filtering: Recommending items that are similar in content or attributes to items the user has shown interest in.
User Affinity: Recommending items based on the user ' s overall affinity for particular categories, brands, or attributes, calculated from their historical interactions.
Note: " Recommendations " is a more general term. Specific recommendation ingredients might have names like " User-to-Item Affinity, " " Item-to-Item Similarity, " or use algorithm names directly.
C). Co-Occurrence
Verified: This is a specific type of recommendation ingredient that focuses on items frequently viewed or purchased together.
Co-occurrence Logic: This ingredient identifies items that are often viewed or purchased in the same session or within a short timeframe. It suggests that if a user is interested in item A, they are also likely to be interested in item B because other users have frequently interacted with both items together.
Examples:
" Customers who bought this item also bought... "
" Frequently viewed together "
NEW QUESTION # 78
What attribute and value is passed in the event API request for returning server side campaigns?
Answer: C
Explanation:
In theEvent API requestfor returning server-side campaigns inSalesforce Interaction Studio (IS), the attributeSourcewith the valueServeris used. This ensures that the request explicitly identifies that it is for server-side campaigns, distinguishing it from client-side campaigns.
NEW QUESTION # 79
Which feature allows a business user to overlay campaign creation and editing directly on their website?
Answer: B
NEW QUESTION # 80
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