U+ Bank wants to offer credit cards only to low-risk customers. The customers are divided into various risk segments from Good to Very Poor. The risk segmentation rules that the business provides use the Average Balance and the customer Credit Score. As a decisioning consultant, you decide to use a decision table and a decision strategy to accomplish this requirement in Pega Customer Decision Hub™.

Reference module: Leveraging predictive model. U+, a retail bank, wants to show a retention offer to customers who are likely to leave the bank in the near future based on historical customer interaction data. Which type of model do you use to implement this requirement?

A bank wants to add a contact policy that will suppress an action for 20 days if it was rejected twice in any channel in the last 30 days. How do you define the suppression rule for the contact policy?

U+ Bank has decided to nudge the Platinum Plus credit card to customers who visit their home page. Which arbitration factor do you configure to implement this requirement?