Optimize the performance of your Proposition Filter rules by running audience
simulation tests when you create or update
a
proposition filter.
You can improve the performance of your proposition filters by testing them against
simulated audiences. In this way, you can check how many potential offers are filtered out by
each component of the filter, and discover if a particular filter criterion is too broad or
too narrow for your requirements.
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In the navigation pane of Dev Studio,
click Records.
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Expand the Decision category, and then click
Proposition Filter.
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In the Proposition Filter tab, open or create an instance of the
Proposition Filter rule:
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In the tab of the selected Proposition Filter rule, click .
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In the Audience simulation section, select or create a
simulation with which you want to test the proposition filter:
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After the simulation test finishes, analyze the results to see what percentage of the
audience would receive each offer according to the current proposition filter
criteria:
For each component of the Proposition Filter rule, the simulation test shows
percentage values that indicate the percentage of the selected audience that receives the
proposition based on the current criteria. For example,
if
the result for a criterion that checks if the proposition is active is
100.00%, then no audience members were filtered out by this
component.