In this study, which measures the effectiveness of promotions, we construct a machine learning model that predicts whether or not an e-mail magazine will be opened and interpret the prediction results using distribution data and purchase data from an electronics retail store. We then consider distribution methods that are likely to be opened and the characteristics of customers who are likely to open the newsletters. We also propose future delivery methods.