Answer: The number of customers who receive more than one action is displayed
Answer: The number of customers who receive an action more than once is displayed
Answer: The number of times that an action is presented to customers is displayed
Answer: The results help optimize strategies to meet specific business goals
Answer: D
Running an audience simulation with engagement policy and arbitration helps optimize strategies:
Purpose of Audience Simulation:
Step 1: Audience simulation in Pega Customer Decision Hub is used to test and analyze how engagement policies and arbitration rules affect customer interactions.
Step 2: It provides insights into the effectiveness of the configured policies and their impact on business goals.
Simulation Scope:
Step 1: When the simulation scope includes engagement policy and arbitration, it evaluates the complete decision process, from filtering eligible actions to prioritizing and presenting the best actions to customers.
Step 2: This comprehensive simulation helps identify potential issues and areas for improvement.
Optimizing Strategies:
Step 1: Analyze the simulation results to understand how engagement policies and arbitration rules influence the distribution of actions across different customer segments.
Step 2: Use the insights gained to adjust strategies, ensuring that they align with business objectives such as maximizing customer engagement, improving conversion rates, or achieving specific financial targets.
Example:
As a Decisioning Consultant, you can run an audience simulation for U+ Bank to test their Credit Card offer strategies. The results will provide valuable data on how well the strategies perform and where adjustments are needed to optimize outcomes.
References:
Pega-Customer-Decision-Hub-User-Guide-85.pdf: "Testing Next-Best-Action configuration with audience simulations" section.