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Setting Propensity Thresholds

Suggest edit Updated on January 19, 2022

Propensity Thresholds are a means of setting a minimum value for the adaptive model propensity below which actions or treatments will not be considered for arbitration.

Such thresholds can be set in a hierarchical fashion with more granular values taking precedence, the hierarchy is shown below.

  • Direction
  • Channel
  • Issue
  • Group
  • (Action) Name
  • Treatment

So, for example, if a threshold of 0.6 is set for the Outbound direction, and 0.7 is set for Outbound and the Email channel, 0.7 would be used for Email, and 0.6 for any other outbound channel that had not been explicitly set.

Propensity Threshold concepts

The thresholds are maintained in the Model Propensity Thresholds DDR containing the properties described below.

PropertyDescription
pyLabelA user-friendly name for a threshold.
pyDirectionPropensity Thresholds are defined separately for Outbound or Inbound directions. If this is blank, then the same thresholds are applied to both Outbound and Inbound.
pyChannelThe channel to which the Propensity Threshold is to be applied. If this is blank, then the threshold is applied to all channels, however, if any channel is specified, then only channel specific thresholds will be applied, and all thresholds with a blank channel will be ignored.Note: If channel-specific thresholds are used, then they must be set separately for each channel. Note that this only applies within each direction, so channel could be blank for Inbound, and set individually for Outbound if desired.
pyIssueThe issue to which the threshold is to be applied. If this is blank, then the threshold is applied across all issues.
pyGroupThis is only referenced if pyIssue is not blank and is the group to which the threshold is to be applied. If this is blank, then the threshold is applied across all groups within the issue.

If not blank, this will supersede any threshold set at the issue level.

pyNameThis is only referenced if pyGroup is not blank and is the Action to which the threshold is to be applied. If this is blank, then the threshold is applied across all actions within the group.

If not blank, this will supersede any threshold set at the issue or group levels.

pyTreatmentThis is only referenced if pyName is not blank and is the treatment to which the threshold is to be applied. If this is blank, then the threshold is applied across all treatments for the action.

If not blank, this will supersede any threshold set at the issue, group or action levels.

pyPropensityThe Propensity Threshold which sets a lower limit for the Final Propensity value of an action or treatment. Only actions and treatments with a Final Propensity greater than this threshold will be considered for arbitration within the NBA Strategy framework.
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