customer churn dataset

Customer churn is a big problem facing banks in the increasingly competitive market. By analyzing the reasons of bank customer churn, this paper puts forward a method of establishing customer churn prediction model. By using the m

, the monthly variables accounted for the sum of the variables. With these cleaning and transformation work, we generate a dataset for modeling. (iv) Establishment of models. We choose the SAS EM Package as the modeling tool and choose the decision tree algorithm in the mining algorithm. The decision tree algorithm can handle hundreds of fields, has exploratory function and is highly automated. Considering the big difference between the fixed and PHS

afraid, as long as there are relative to the words of the template, we can be very brave to solve the customer's objection."Second, the fear of the customer to create a misunderstanding!This is a lot of shopping guide will produce the wrong ideas.I asked a guide: "Why don't you End?" "I'm worried that she thinks I'm going to sell her stuff," said the guide. ”Why don't you sell things? Does any customer thi

For China's major telecom operators, in the overall market size is relatively stable, the maintenance of the existing customers is to ensure that the most important part of their profits. Therefore, the prediction of the possibility of customer churn is directly related to the operator's customer maintenance focus is correct or not. This article will be based on

For online shop, customer churn is a very sad thing to urge. Even if the current marketing tools are maturing, customers are still a less stable group, how to reduce the loss, improve customer loyalty, repeat customers CRM to help you busy. Rainy day No matter which channel receives the customer consultation, must form

Data preprocessing STEP1: Data sampling: Because in the establishment of customer churn model process, the loss of customers often accounted for the proportion of all customers are very small, at this time, the best way is to retain the entire loss of customer population, but not the loss of customer population sampli