Model Development

Simply put, a regression model identifies the optimal combination of predictive variables and determines the relative significance of each. Through the use of a mathematical equation, a raw score is calculated based on numerical values associated with these predictive variables and their weights. Customers with like scores then are rolled up into ranks. For example, if Rank 1 names are the highest-scoring names with a response model, they’re predicted to be the most likely to respond.