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Learn About Real-Time Offer Management
Examples of Offer Treatment Personalization

Examples of Offer Treatment Personalization

Learn how you can configure recommenders and personalization points to apply most relevant offer treatments.

Required Editions

Available in: Lightning Experience
Available in: EnterpriseUnlimited, and Developer Editions with Real-Time Offer Management and Salesforce Personalization

Recommenders

Use the Real-Time Profile and the Offer Treatment data graphs to create recommenders, and then configure recommendations based on rules or objectives.

Here are some examples of offer treatment recommenders for some common business scenarios.

Business Requirement Recommender
Determine offer treatments for new users. Create a rule-based recommender that uses the Real-Time Profile and Offer Treatment data graphs to return offer treatments sorted by average priority in ascending order.
Recommend offer treatments based on real-time browsing activity. Create a rule-based recommender that returns offer treatments in ascending order of average priority. Then, add filters to specify the product interactions that are eligible for these offer treatments.

Response Templates

Define the configuration options available to marketers when they’re building a personalization decision. The response template also ensures that all decision responses for a given personalization point return data in the same format.

Here are some examples of response templates for offer treatments.

Business Requirement Recommender
Response template for offer treatment recommendations. Create a response template with the Recommendations personalization type, and then select the offer treatment fields that you want to use in the response. For example, Offer, Offer Heading, Offer Body, Call to Action Text, Call to Action URL, Internal CMS Folder URL, and Language.

Personalization Points

Delivers personalized content by tying together a data space, profile data graph, personalization type, and response template.

For example, create personalization points for:

  • Website banners
  • Website widgets

Decisions and Targeting Rules

For each personalization point, segregate customers using targeting rules and use the appropriate offer treatment recommenders.

Here are some examples of decisions and targeting rules:

Business Requirement Personalization Points
Apply top offer treatments when there's no user activity
  • Select a recommender that recommends offer templates with the highest average priority.
  • Define targeting rules to identify users who don't have any product browse engagement activity.
Apply offer treatments when a user browses or adds specific products to cart
  • Select a recommender that recommends offer templates based on real-time browsing activity.
  • Define targeting rules that identify eligible users based on the product browse engagement with specific products.
 
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