Response models are typically used to predict the probability of a customer or prospect responding to some type of offer or solicitation. Heavily used in the direct mail industry, response models can be of value to organizations in almost every industry. In this webinar we’ll give a high level overview of building a response model. Starting with the data needed, the presenter will discuss the basics of creating a modeling dataset, transforming variables, and building a model utilizing logistic regression. The Rapid Insight Analytic Suite will be used to demonstrate the model building process.

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