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MyCo, a mobile company, uses Pega Customer Decision Hub to display offers to customers on its website. The company wants to present more relevant offers to customers based on customer behavior. The following diagram is the action hierarchy in the Next-Best-Action Designer.
The company wants to present offers from both the groups and arbitrate across the two groups to select the best offer based on customer behavior.
As a decisioning consultant, what must you do to present offers from the two groups?
To present offers from both groups and arbitrate across the two groups to select the best offer based on customer behavior, you need to map a real-time container to the Top-level or Issue-level in the Next-Best-Action Designer. This mapping allows the system to evaluate and arbitrate offers from different groups based on the defined criteria and customer behavior, ensuring the most relevant offers are presented.
Which two of these statements are true about creating segments? (Choose Two)
Triggering Segment Runs with Next-Best-Action Outbound Schedule:
Segments can be configured to run in alignment with the Next-Best-Action outbound schedule.
This setup ensures that the segment is refreshed and populated with the latest customer data before each outbound run.
Viewing Customer List in a Segment:
You can view the list of customers included in a segment directly within the segment configuration.
This feature allows marketers to verify and analyze the customers targeted by the segment.
Reference module: Creating eligibility rules using customer risk segments.
U+ Bank uses a decision table to return a label for a customer. Examine this decision table and select which label is returned for a customer with a credit score of 115 and an average balance of 15000.
To determine the label returned by a decision table for a customer with a credit score of 115 and an average balance of 15000, you need to examine the decision table rules. Based on the typical structure of decision tables, a credit score of 115 and an average balance of 15000 would fall within the ranges specified for the label 'B'.
Creating and using decision tables for customer segmentation (Page 72-73)
Example decision table configurations (Page 74-75)
U+ Bank realizes that customers have ignored a particular mortgage offer. As a result, the bank wants to offer the action 30% more frequently. Which arbitration factor do you configure to implement this requirement?
To address the issue where customers have ignored a particular mortgage offer and the bank wants to offer the action 30% more frequently, we need to configure the appropriate arbitration factor in Pega Customer Decision Hub.
Arbitration Overview: Arbitration in Pega CDH determines how actions are prioritized and selected for presentation to the customer. It involves factors like business value, propensity, and action weighting.
Action Weighting: Action weighting is used to adjust the frequency and priority of specific actions. By increasing the action weighting, you effectively make the action more likely to be selected during the arbitration process.
Implementation:
Navigate to the Next-Best-Action Designer in Pega CDH.
Locate the action for the mortgage offer that needs increased frequency.
Adjust the action weighting to increase by 30%. This adjustment modifies the priority calculation, making the action more likely to be selected.
Refer to the Pega Customer Decision Hub User Guide 8.5, section on 'Understanding Next-Best-Action Designer arbitration' which explains how action weighting influences the prioritization of actions.
As a decisioning consultant, you advise the board on the business issues for which they must use the Next-Best-Action strategy.
Which three business issues do you recommend? (Choose Three)
Next-Best-Action Strategy Application: Pega's Next-Best-Action strategy can be applied to various business issues to optimize decision-making and enhance customer interactions.
Collections: Used to manage and optimize debt collection processes by determining the best actions to take with customers who have outstanding debts.
Service: Enhances customer service interactions by suggesting the most relevant actions or responses to customer inquiries and issues.
Retention: Focuses on retaining customers by identifying and executing actions that are most likely to keep them engaged and loyal.
