Segmentation and Clustering

Segmentation and Clustering

While predictive analytics often claims the apex role of data analytics, often it is segmentation and clustering that forms the bulk of a data analytics service.  Segmentation helps a company divide their customer or prospect base into groups based on their similarities.  Clustering, on the other hand, helps find similarities in the customer or prospect base and thus allows a company to subdivide their base into smaller, more targeted groups.  Together segmentation and clustering allow a company to communicate with their customers at a more individual level than otherwise possible.

NanoLogic often finds, through the application of various clustering algorithms, novel and interesting groupings of customer in a data set.  Sometimes, even the number of groupings is surprising.  You may think you have ten different types of customers, only to find that your data suggests there are only three.  Sometimes it’s the other way around.  When a company discovers they have segmented their data inaccurately, they can often change their marketing and other operations to profoundly enhance the outcomes.

NanoLogic can help you drill down into your database and discover demographic, psychographic and behavioral clusters and segments you might never have imagined.  Ask us how to help you make these discoveries and unlock the potential in your data.