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Propensity Threshold use cases

Updated on September 15, 2022

The following Propensity Threshold use cases are examples of how to set a minimum threshold for various scenarios.

Pega Customer Decision Hub

As a user, I want to set a global minimum propensity threshold for all actions in any channel

To set a global threshold, for example, 0.55, simply set the propensity and leave all other columns blank.

pyDirectionpyChannelpyIssuepyGrouppyPropensity
0.55

As a user, I want to set a minimum propensity for my inbound channels

To set the minimum propensity for any actions presented on any inbound channel to 0.6, simply set the direction and propensity.

pyDirectionpyChannelpyIssuepyGrouppyPropensity
Inbound0.6

As a user, I want to set a minimum propensity for my outbound channels

To set the minimum propensity for any actions presented on any outbound channel to 0.55, simply set the direction and propensity.

pyDirectionpyChannelpyIssuepyGrouppyPropensity
Outbound0.55

As a user, I want to set a minimum propensity for the Acquisition Issue for my inbound channels

To set the minimum propensity for any actions in the Acquisition Issue presented on any inbound channel to 0.6, simply set the direction, issue and propensity.

pyDirectionpyChannelpyIssuepyGrouppyPropensity
InboundAcquisition0.6

As a user, I want to set a minimum propensity for the Acquisition Issue for my Web channel to be 0.57, and for the inbound Call Center to be 0.62

Set the direction, channel, issue and propensity for each of the Web and CallCenter channels.

pyDirectionpyChannelpyIssuepyGrouppyPropensity
InboundWebAcquisition0.57
InboundCallCenterAcquisition0.62

As a user, I want to set a minimum propensity for the Acquisition Issue and Devices group for my Email channel to be 0.56, and for the SMS channel to be 0.65

Set the direction, channel, issue, group and propensity for each of the Email and SMS channels.

pyDirectionpyChannelpyIssuepyGrouppyPropensity
OutboundEmailAcquisitionDevices0.56
OutboundSMSAcquisitionDevices0.65

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