- aggregate level or by any segmentation criteria that are either included as part of a research effort (i.e. behaviors/demographics), or that can be provided to us by our clients. We can also create a custom segmentation, or needs/preference-based segmentation, using the conjoint preference models as the basis of the segmentation effort. This allows you to identify customer segments based on their product preferences and needs (i.e. price sensitive, brand sensitive, feature sensitive and service sensitive customer segments). These segmentation analyses are especially useful for customer segmentation effort and marketing campaign planning and customization.
- Database Scoring Once a custom segmentation approach has been defined, CD works with clients to define a model to identify/define each customer segment across a variety of behavioral and demographic variables. A model can then be developed to predict the segment a customer is likely to be in and can then be used to score other customers in the client database (i.e. those who did not participate in the survey) into relevant preference segments. This type of effort supports marketing campaign development.
- Data Mining CD also performs ad hoc data mining for our clients on existing customer data sets, or research data sets, to identify the most insightful patterns in the data and the appropriate strategic response based upon the findings uncovered.
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1400 Marketplace Blvd, Suite 226, Cumming GA 30041 voice 404-735-4443 fax 770-886-9760 
