Enhanced multi-level decisioning
Next-Best-Action Designer now supports multi-level context decisioning. You can define multiple context entities in the Context Dictionary to better reflect the decisions that you want to make as you engage customers. These customer contexts can represent, for example, individual subscribers, as well as households or accounts, all treated as different audiences that must be communicated with in different ways. Actions are associated to a specific context and separate engagement policies can be defined for each.
For more information, see Understanding multilevel decisioning and the Context Dictionary.
Separate engagement policies for different customer contexts
You can now create separate engagement policies for different customer contexts that you defined for your application. For example, to offer the account owner a family data plan that applies to the whole household, and also send out new phone offers to individual household members, you can define separate engagement policies for the Account and Subscriber contexts.
Simulation results available for different customer contexts
After you run a simulation in Pega Customer Decision Hub, you can drill down to the results for each customer context in your application. In this way, you can check how many potential actions for the customer context are filtered out by each component of the policy, and discover if a particular criterion is too broad or too narrow for your requirements.
For more information, see Testing Next-Best-Action configuration with audience simulations.