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Optimize the performance of your Proposition Filter rules with audience simulation tests (8.4)

Updated on May 3, 2021

Improve the performance of your proposition filters by testing them against simulated audiences. You can check how many potential offers are being filtered by each condition of the filter, and discover if a particular criterion is too broad or too narrow for your requirements.

The proposition filter displays the population counts while the simulation test runs. For each filter condition, the simulation test shows percentage values for the percentage of the selected audience that would receive the proposition according to the current filtering. For example, if the result for a particular criterion is 100.00%, no audience members are filtered out by this condition.

"Sample audience simulation results"
Sample audience simulation results

For more information, see Testing the Proposition Filter rule with audience simulations.

  • Previous topic Increase the real-time visibility of strategy design changes with simulation batch tests (8.4)
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