Implementing Extensibility in Scores

Objective

After completing this lesson, you will be able to expand score success using the extensibility options

Rule-Based Scores Extensibility

Let’s discuss the extensibility options for rule-based scores in SAP Marketing Cloud.

There are two ways to extend rule-based scores:

  • Create custom fields
  • Assign fields of a custom view to score attributes

In this course, we’ll explain how to create a custom field for a rule-based score. For more information about custom views, please check the documentationon the Help Portal.

Creating Custom Fields for Scores

The process of creating custom fields for scores involves five steps:

  1. Create a custom field in the Custom Fields app in your quality system.
  2. Enable the field usage for the required UI or report on the UIs and Reports tab.
  3. Publish the new custom field.
  4. Transported it to your production system via the Import Software Collection app.
  5. Use the new field in the Score Builder app.
An image outlining the 5-step process described in text above.

Creating Custom Predictive Scores

You can create custom predictive scenarios to realize use cases for propensity scoring based on your own data source. The created predictive scenario contains the name of the score, a description, where it will be available in the marketing solution and design the tile for contact profile.

Preferably, data preparation, predictive model building, model training and score calculation is done externally. Internal training of predictive models is not recommended.

External scores can either be based on predictive algorithms in SAP Data Intelligence or on any other data science platform. The calculated scores can be pushed to SAP Marketing Cloud using the score API.

The image below depicts the Create Scenario screen within the Predictive Scenario settings:

A screenshot depicting the Create Scenario screen within the Predictive Scenario tool.

To create a custom predictive scenario based on externally calculated scores, follow the steps described in the graphic below:

1. Create a custom predictive scenario with pre-set Externally Calculated score type. 2. Create a new predictive model based on this scenario. 3. Develop a new model fit in the predictive model. 4. Upload external score values via CSV or Score APIs.

Additional Resources

Read this blog post to learn about how to use the marketing score API to push externally calculated Score Values to SAP Marketing Cloud.

Please read this blog post to learn about how to use the SAP Business Technology Platform to extend SAP Marketing Cloud with Predictive Scores.

Log in to track your progress & complete quizzes