I am working as a marketing statistician at an online retailer company. We use logistic regression to build response model to decide which customers are worth mailing our catalog. We ususally have somewhere between 600,000 customers with 300 variables. So far, it works out fine compared to the RFM method.
Can anyone suggest other algorithm(s) that you think might be better than logistic regression under some situations? Thank you so much for your reply.