Hello! What Gerda wanted is actually a very logical business requirement and expectation, and Patricia's last answer surprised me. Our clients rarely use the Priority-based Scenario method (more often it's either a full-blown SAS MO Analytical Scenario, or no scenarios at all), so I decided to recheck the method that Dmitry was talking about. The purpose of the experiment is to select 20,000 random customers out of 200,000 satisfying filtering. The constraint is set in the optimization script. And for random sampling, he used the function of random generation of the number "ranuni". Created a simple campaign: This campaign was included in the optimization and in the scenario, limited the number of customers to 20,000. Without the use of sorting by random value, a data set was obtained as in Gerda. In my case from A-C. Added a computed element that uses the “ranuni” function in the export field and sorted by it. As a result, customers were randomly allocated A-Z.
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