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Free PEGAPCDC87V1 Exam Braindumps (page: 8)

Page 7 of 47
PDF with 184 Questions

U+ Bank, a retail bank, presents various credit card offers to its customers on its website. The bank uses artificial intelligence (AI) to prioritize the offers based on customer behavior. Since introducing the Gold credit card offer, the offer click through rate propensity has increased to 0.83.
What does the increase in the propensity value most likely indicate?

  1. Similar customers have ignored the offer.
  2. Similar customers have shown interest in the offer.
  3. Similar customers have rejected the offer.
  4. Similar customers have purchased other offers.

Answer(s): B

Explanation:

Propensity Increase: In Pega Customer Decision Hub, propensity indicates the likelihood of a customer responding positively to an offer. A propensity value of 0.83 signifies a high likelihood of customers showing interest in the Gold credit card offer.

Customer Behavior Analysis: The increase to 0.83 suggests that similar customers have demonstrated interest, such as clicking on the offer or engaging with it in some way.


Reference:

Pega's documentation on propensity and customer engagement highlights that a higher propensity score is indicative of positive customer response and interest .



DRAG DROP (Drag and Drop is not supported)
You are a decisioning consultant responsible for configuring offer prioritization for home loan offers based on the business requirements.
Select each prioritization factor on the left and drag it to the correct condition on the right.

  1. See Explanation section for answer.

Answer(s): A

Explanation:



MyCo, a telecom company, notices that when customers call to check on bill status, 80% of the time, they received the wrong offer promotion, leading to customer dissatisfaction. The company decides to boost customers' needs in the prioritization formula, to improve sales in the current quarter.
Which arbitration factor do you configure to implement the requirement?

  1. Context weighting
  2. Propensity
  3. Business weighting
  4. Action value

Answer(s): A

Explanation:

Arbitration Factors: To prioritize customer needs in the decision strategy, adjusting the context weighting factor is essential. This factor takes into account the situational context of each action, thereby prioritizing actions that align with customer needs. Implementation: By boosting context weighting, you ensure that the decision strategy considers the specific context of customer interactions, leading to more relevant and satisfactory offer presentations.


Reference:

Pega's arbitration and Next-Best-Action Designer documentation describe how context weighting is applied to consider situational contexts and improve action relevance .



U+ Bank has recently started using Pega Customer Decision HubTM to display the first credit card offer, the Standard card, to every customer who logs in to their website.
Which three tasks do you need to perform to implement this requirement? (Choose Three)

  1. Set up business structure to Sales/CreditCards
  2. Define customer engagement polices
  3. Create and configure the real-time container
  4. Create the action and its web treatment
  5. Define customer contact policies

Answer(s): A,C,D

Explanation:

Business Structure: Setting up the business structure to Sales/CreditCards ensures that the actions and offers are correctly categorized and managed within the appropriate business context. Real-Time Container: Creating and configuring a real-time container is necessary for presenting the credit card offer to customers in real-time as they log in to the website. Action and Web Treatment: Defining the action and configuring its web treatment ensures that the offer is ready to be displayed to the customers, complete with the necessary details and presentation format.


Reference:

Pega's guidelines on setting up business structures, real-time containers, and action configurations provide detailed steps on implementing these tasks .






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