The Empirical Analysis Of Logistic Regression In Responsive Marketing Modeling

In the company's marketing activities, the most frequently used prediction is response modeling. The goal of response modeling is to predict what the user would have a product or a service response, using the response model to predict those users most likely to respond to marketing activities. in the future similar marketing activities, using response modeling to predict the users most likely to respond, so that only those users for marketing activities, this marketing activities to target users more accurately, and to reduce the company's marketing costs and increase return on investment.In this paper, we adopted the INDIANA activities data that held in XX province in November 2010.Firstly, we analyze the correlation of the response variables and the explanatory variables,finally, we constructed the logistic regression analysis with seven explanatory variables of the marketing response modeling, and test the prediction accuracy of the modeling, the results show that the model predicts with high accuracy, and put forward suggestions for improvement of the model.