Skip to main content

         This documentation site is for previous versions. Visit our new documentation site for current releases.      

Applying the propensity

Updated on February 17, 2020

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. For more information about the underlying strategy which calculates the treatment-level propensity, see Treatment-level propensity.

Task IDTask-050401
Primary roleSenior Decision Architect
Secondary roleN/A
Tertiary roleN/A
  1. Define actions with corresponding treatments. For more information, see Creating actions.
  2. In the Pega Marketing portal, click Next-Best-Action > Designer > Arbitration.
  3. In the Propensity section, ensure that the Apply propensity calculated for every treatment option is selected.
  4. Ensure that the toggle in the upper right corner of the Propensity section is set to on.
    If the toggle is inactive, the Next-Best-Action no longer takes propensity into account when selecting the next best action for a customer.
You can also calculate the propensity for each action, without taking treatments into account. This option is not recommended if you have treatments, but may be relevant if you did not create any treatments for your actions. For more information about the underlying strategy which calculates the action-level propensity, see Action scoring.

Have a question? Get answers now.

Visit the Support Center to ask questions, engage in discussions, share ideas, and help others.

Did you find this content helpful?

Want to help us improve this content?

We'd prefer it if you saw us at our best. is not optimized for Internet Explorer. For the optimal experience, please use:

Close Deprecation Notice
Contact us