Reference module: Testing engagement policy conditions using audience simulationAs a Decisioning Consultant, you are tasked...

The number of customers who receive more than one action is displayed

The number of customers who receive an action more than once is displayed

The number of times that an action is presented to customers is displayed

The results help optimize strategies to meet specific business goals

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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.