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Make the right offer, to the right person, with the right channel at the right time. To achieve this goal, you need to segment your customers and identify your prospects. What are your goals?
We start with descriptive analytics to identify your customers and identify any segmentation that groups them. We then use predictive analytics to create more targeted, effective campaigns. We utilize this information to design solutions that fit the needs of the client. The purpose is to provide knowledge about customers and markets that will be usable by the client and not require analysts for translation. The spectrum of our analytical capabilities include response modeling, value (continuous) modeling, clustering segmentation and scoring. The number of clusters to be formed are defined by each customers database to provide meaningful post-cluster analysis and optimize the distinctiveness of each segment. Quality decision-making is driven by an ability to make sense out of information. By associating data in accordance with where it is located, and presenting it color-coded on a map we often spot patterns or trends that might otherwise be hidden. The tool DataCentral uses for this critical part of our analytical services is MapInfo AnySite. Designed for both site selection analysts and executive decision makers, MapInfo AnySite is the essential tool for leaders in the retail, hotel, restaurant, real estate and financial services industries to analyze existing store locations and potential new sites. We use the Map Info PSYTE® Advantage Neighborhood Segmentation System, which categorizes every U.S. Neighborhood into one of 72 mutually exclusive neighborhood types or 'clusters', to identify customers. These clusters also identify prospects who might otherwise have been missed, and help to eliminate those least likely to become customers. Overall this step reduces costs and increases response rates simultaneously.
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