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Prioritizing actions based on customer relevance and business priority

Updated on September 15, 2022

On the Arbitration tab of the Next-Best-Action Designer, you can define the AI controls used to decision on the Next-Best-Action for each customer. The customer data and insights help provide proactive contextual actions according to the customer's propensity, context, and other factors.

Pega Customer Decision Hub

The following controls can be used by Pega Customer Decision Hub to select the Next-Best-Action for a customer. Each control can be toggled on and off. If you toggle a control off, it is no longer used to arbitrate Next-Best-Actions.

Propensity
Propensity is the likelihood of a customer responding positively to an action. The propensity can be calculated separately for every treatment. For example, if a customer is most likely to interact with a push notification, an action which has a push notification treatment is most suitable for that customer. It is also possible to apply propensity calculated to the action as a whole.
Context weighting
Pega Customer Decision Hub uses context weighting to consider the situational context for each action. For example, if a customer contacts the call center to cancel their service package due to concerns about the quality of their mobile service, the Retention issue should take priority for that customer. In this example, the context weighting can be defined as:
  • Keys - Intent
  • Value - Cancellation
  • Issue / Group - Retention / Mobile
  • Weighting (+/-) - 100 %
Action value
Action value assigns a financial value for each action and prioritizes high over low value. The base value is calculated with the Calculate Business Value strategy. The strategy uses a static business value property which you can enter on the Details tab of each action. The static values are used as input for the CalculateValueExtension strategy. By default, the CalculateValueExtension strategy does not have any calculation logic, and simply passes the static Value property directly to strategy results. To implement a custom logic for Value calculation, edit the CalculateValueExtension strategy.
Business levers > Action weighting
For each individual action, you can specify a static business weight (+/-) property on the Details tab of the action. Actions with a higher weight are prioritized over those with a lower weight. If you do not want to consider action weighting when deciding on Next-Best-Action, set this toggle to off.
Business levers > Business purpose weighting
You can specify a static Weighting (+/-) property for actions associated with a specific issue and group. Actions associated with higher-weight issues and groups are prioritized over those with a lower weight. If you do not want to consider business purpose weighting when deciding on Next-Best-Action, set this toggle to off.
  • Applying the propensity

    Propensity is the likelihood of a customer responding positively to an action. To get the most accurate, granular results, configure Next-Best-Action to calculate propensity for each treatment. For example, if a customer is most likely to interact with a push notification, an action which has a push notification treatment is most suitable for that customer.

  • Applying the context weighting

    Context weighting allows Pega Customer Decision Hub to consider the situational context for each action. For example, if a customer contacts the bank to close their card account, the highest-priority action is ensuring that the customer is retained. Because of that, the Retention issue should take priority for that customer.

  • Applying the action value

    Apply the action value to Next-Best-Action selection in order to assign a financial value for each action and prioritize high over low value.

  • Applying the business levers

    For each individual action, you can specify a static business weight property on the Details tab of the action, and then use this property to prioritize actions with a higher weight over those with a lower weight. In addition to action-specific weighting, you can also specify a static Weighting (+/-) property for actions associated with a specific issue and group.

  • Viewing the customer history and interaction details in the Customer Profile Viewer

    The Customer Profile Viewer provides a view of customer and behavioral data, including their interaction history and past next-best-action decisions, as well as the ability to retrieve and understand next-best-action decision results.

  • Previous topic Frequently asked questions about eligibility, applicability, and suitability policies
  • Next topic Applying the propensity

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