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Analyzing customer group descriptions to create more relevant actions or treatments

Updated on September 15, 2022

Value Finder provides insights by identifying and describing groups that have a high occurrence of customers who receive only irrelevant actions after eligibility, applicability, and suitability.

Review each group's information to understand why there are no relevant actions available for these customers, and use this knowledge to create more actions and treatments. Value Finder only provides customer group descriptions for the recommendation Create more relevant actions or treatments, as shown in the following figure:

Create new actions or treatments recommendation in Value Finder
A list of Value Finder recommendations for customers without no actions or only irrelevant actions.
Pega Customer Decision Hub
  1. Log in to the Pega Customer Decision Hub portal.
  2. In the navigation pane of the Pega Customer Decision Hub portal, click DiscoveryValue Finder.
  3. Run a new simulation or display the results of a saved simulation.
    For more information, see Running Value Finder simulations.
  4. In the Recommendations section, click the Create more relevant actions or treatments recommendation.
  5. In the top-left corner of the Create more relevant actions or treatments window, review the number of customers receiving only irrelevant actions after each stage by clicking Eligibility, Applicability, or Suitability.
    Note: The numbers are cumulative for each consecutive stage of the decision analysis.

    The tabs display the following information:

    Eligibility
    Shows how many customers in the audience receive only irrelevant actions after eligibility.
    Applicability
    Shows how many customers in the audience receive only irrelevant actions after eligibility and applicability.
    Suitability
    Shows how many customers in the audience receive only irrelevant actions after eligibility, applicability, and suitability.
  6. In the Top discovered groups section, review the groups that Value Finder identified.

    Value Finder provides the following information about each group:

    Under-served customers
    The number of customers receiving only irrelevant actions (under-served) in a given group compared to the total number of under-served customers in the audience. In other words, how many under-served customers that group contributes to the total number of under-served customers in the audience. For example, in the figure below, 446 is the total number of under-served customers in the audience. Out of 446 under-served customers, 59 are in group A, 92 in group B, and 104 in group C, representing 13.2%, 20.6%, and 23.3% of the total 446 under-served customers.
    Accuracy
    The number of customers receiving only irrelevant actions in the group divided by the total number of customers in the group (both with and without relevant actions). If the accuracy is at 100%, that would mean that all customers in the group only have irrelevant actions. In reality, the accuracy is never at 100%. An accuracy of 80% means that 80% of customers in the group have only irrelevant actions. The remaining 20% have at least one action above the propensity threshold that you set using the relevant action setting.
    Description
    Group characteristics, such as age, credit card ownership, or debt.
    Total number of customers receiving only irrelevant actions
    The Create more relevant actions or treatments section showing customer group A discovered by Value Finder. Description includes age, income, value, and sentiment.
  7. Optional: To get additional information about a group, click the More icon, and then click View details.

    Value Finder provides the following information for each group:

    Total customers in group
    The number of customers in the group, both with and without relevant actions.
    Percentage of under-served retrieved in this group
    The number of customers in the group who receive only irrelevant actions divided by the overall number of customers in the audience who receive only irrelevant actions at this stage. This measure shows what fraction of all customers in the audience who receive only irrelevant actions Value Finder retrieves for this group.
  8. Optional: To get more actionable group definitions that you can later save as audiences, manage the descriptive fields used to define the groups:
    Note: Deselecting fields to exclude them from the descriptions lowers the accuracy of the group descriptions.
    1. Click Manage descriptive fields.
    2. If you want to remove a field from the group description, in the Used fields list, click the Close this item icon next to the field name.
    3. If you want to add a field to the group description, in the Ignored fields list, click the Close this item icon next to the field name.
    4. Save the changes by clicking anywhere outside the dialog box.
      Result: Value Finder updates the group descriptions by using the selected fields and recalculates the number of customers with only irrelevant actions, accuracy, and recall measures.
What to do next: You can save or export a customer group as an audience for use in distribution tests to gain more insight. For more information, see Saving customer groups as audiences.

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