The use of techniques such as data mining, data visualization, algorithm clustering, and neural networking to find patterns or trends in data. These patterns or trends are used to forecast future behavior based on current or past behavior. Uses of predictive behavior analysis include identifying customers likely to drop out or default; identifying products customers are likely to buy next; developing customer segments or groups; and product development.