Perform a test run of a Contact Optimization session

You can tune your Contact Optimization session before a production run by performing a test run.

After you run all the flowcharts that generate contact and offer information that the Contact Optimization session can access, you can run the Contact Optimization session that you created. You should perform a test run of the session to see whether the results of the optimization are what you expect. After you review the results, perform a production run to generate the final set of data.

You can choose the number of customers to be included in a test run by specifying the value for Test run sample percent under Advanced settings or under Configuration settings at Campaign | partitions | partition[n] | Optimize | TestRun.

The test sample percentage is the percentage of customers to use from the PCT. Customers for a test run are selected based on the RC table of the respective session. The order of customers can be changed by controlling the Customer random seed under Advanced settings or under Configuration settings at Campaign | partitions | partition[n] | Optimize | AlgorithmTuning.

The optimized contacts for the test run are written to the OCT. Reports for a test run are generated the same as for a production run. You can identify the type of run by looking at the Report Run field of the Analysis tab. Additionally, you can look at the test run entry in the log file.

Note: The results of a test run and a production run are written to the same OCT table of the respective Contact Optimization session. If you have a Contact Optimization session run in either mode, it deletes the results of the previous run and updates the OCT table with the results of the current run. You cannot have result of both run types at same time in the OCT table.