Identify the issue: When a customer receives an offer they have already accepted, it suggests that the decision strategy did not consider previous interactions.
Check strategy customization: Strategies in Pega CDH can be customized to include rules that prevent the same offer from being presented again.
Confirm the exclusion of previous offers: Specifically, you need to ensure that there is a suppression rule or a logic to check the Interaction History to exclude previously accepted offers.
Reference: Refer to the section on "Next-Best-Action Designer constraints" and "Engagement policies" in the Pega Customer Decision Hub User Guide. These sections explain how to configure rules to prevent repetitive offers.

The condition that possibly prevents Anna from seeing the new Rewards card offer is "Eligibility." Since Anna already holds a higher value card, Premier Rewards, the eligibility criteria might exclude her from receiving offers for the Rewards card. This ensures that customers are not offered products that are less relevant or valuable compared to what they already have.

To analyze the distribution of offers to well-engaged, under-engaged, or not-engaged customers, you would run the Pega Value Finder simulation. The Value Finder tool is designed to help identify and understand the engagement levels of different customer segments.
* Pega Value Finder:
* Pega Value Finder is used to identify under-served or over-served customers by analyzing historical interaction data.
* It provides insights into how well different customer segments are being served and helps in understanding engagement levels.
* This tool can categorize customers into well-engaged, under-engaged, or not-engaged based on their interactions and responses to offers.

To automatically pause actions that are shown too often for a specific time period, you need to define suppression rules in Pega Customer Decision Hub. Suppression rules allow you to put an action on hold after a specific number of outcomes, such as views or clicks, have been recorded over a defined period. This helps prevent overexposure and ensures a better customer experience by limiting how frequently the same action is shown to a customer.

Explanation:
Compute SUM of PROFIT = Group BY
Determine target budget to retain a customer = Set Property
Determine customer credit score = Scorecard
Divide customers into risk segment = Decision Table