U+ Bank, a retail bank, offers the Standard card, the Rewards card and the Rewards Plus card to its customers. The bank wants to display the banner for the offer that each customer is most likely to click; therefore, their Arbitration uses Propensity from the AI models. If you are debugging the Next-Best-Action decision strategy, which strategy component will show you if the result of the Arbitration is correct?
To re-implement the bank's traditional marketing campaign using the always-on outbound customer engagement paradigm in Pega, follow these steps:
Understand the Traditional Campaign Requirements:
Day 1: Send an offer email to qualified customers.
Day 3: Send a reminder email to customers who haven't responded to the first email.
Day 7: Send a second reminder to customers who haven't responded to the first two emails.
Set Up Next-Best-Action Designer:
Use the Next-Best-Action Designer to define engagement policies, arbitration, and channels to manage customer interactions.
The always-on approach continuously evaluates customer interactions and selects the best action based on real-time data and AI-driven insights.
Configure the Primary Schedule:
Set up a daily run schedule for the Next-Best-Action strategy. This allows the AI to evaluate customer interactions daily and decide the best action to take.
Leverage AI for Decisioning:
Configure the AI models to determine the best action for each customer based on their interaction history and engagement policies. The AI will automatically handle:
Sending the initial offer email on Day 1.
Sending a reminder email on Day 3 to those who haven't responded.
Sending a second reminder on Day 7 to those who still haven't responded.
Define Engagement Policies:
Eligibility: Define which customers qualify for the offer.
Applicability: Ensure the offer is relevant to the customer.
Suitability: Verify that sending the offer is in the best interest of the customer.
Contact Policies: Set rules to manage the frequency and timing of emails to avoid over-communication.
Implement AI-Driven Actions:
Use the Next-Best-Action strategy framework to select actions (e.g., sending emails) based on the AI model's recommendations.
Configure treatments (email content) and channels (email) within the Next-Best-Action Designer.
Monitor and Adjust:
Continuously monitor the performance of the campaign using Pega's analytics and adjust the strategy as needed to optimize engagement and response rates.
Pega Customer Decision Hub User Guide 8.5: Understanding Next-Best-Action Designer basics, Configuring the Next-Best-Action Designer for Pega Customer Service, Setting constraints contact policy limits and controls.
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