a new approach to customer segmentation in the fixed-line telecom using rfm model

in today's competitiveenvironment, customers are the most important asset to any company. therefore,in order to retain customers, it is essential to understandtheirbehaviour for developing effective strategies. one of the most commonmethods for customer analysis is market segmentation that helps companies todevelop marketing technique by dividing market into several smaller homogeneousgroups. optimizedmarket segmentation based on relevant attributeshelp allocating company’s resource. in this paper, we proposed a newtwo-dimensional framework, in which customers was measured according to debtand revenue status(the combination of both values​​and anti-values), based on rfm model forsegmenting customers in fixed-line telecom. finally, strategies are presentedfor any customer group based on segmentation using data mining techniques.