A New Approach to Customer Segmentation in the Fixed-line Telecom Using RFM Model
نویسندگان
1 دانشگاه تبریز
2 دانشگاه علامه طباطبایی
doi
10.22059/jieng.2014.51147چکیده
In today's competitive environment, customers are the most important asset to any company. Therefore, in order to retain customers, it is essential to understand their behaviour for developing effective strategies. One of the most common methods for customer analysis is market segmentation that helps companies to develop marketing technique by dividing market into several smaller homogeneous groups. Optimized market segmentation based on relevant attributes help allocating company’s resource. In this paper, we proposed a new two-dimensional framework, in which customers was measured according to debt and revenue status (The combination of both values and anti-values) , based on RFM model for segmenting customers in fixed-line telecom. Finally, strategies are presented for any customer group based on segmentation using data mining techniques.