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Intelligent Segmentation

Intelligent segmentation assembles recommended criteria from statistical analysis of various input sources and ranks them according to how well they do at predicting certain outcomes. This helps the marketer to identify groups of customers, form Segments, and use them without the need for guess work.

Intelligent segmentation is supported by Analysis Projects, which create a set of predictors based on samples of the main customer data. Intelligent segmentation also uses sampling strategies to optimize the processing involved in discovering these predictors.

  • Configuring a Sample (deprecated)

    Use a Sample to define a sample of the overall customer population. An Analysis Project takes a Sample and performs a range of statistical analysis activities to determine which data fields have predictive power or influence when measured against a goal, for example the purchase of a product or service.

  • Configuring Analysis Projects (deprecated)

    Analysis Projects analyze Sample data to assemble a set of predictors that have influence on the nominated outcome, or to conduct distribution analysis on a data set.

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