The purpose of this study is to find out if there is a relationship between parameter ofsegmentation and customer satisfaction, in order to find out the current parameter of segmentationin automobile industries In India researcher has gone through several published journal, books,magazines and companies data. The result shows that the most important factor for segmentation ofautomobile industri...

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 homogeneousgrou...

the purpose of this study is to find out if there is a relationship between parameter ofsegmentation and customer satisfaction, in order to find out the current parameter of segmentationin automobile industries in india researcher has gone through several published journal, books,magazines and companies data. the result shows that the most important factor for segmentation ofautomobile industri...

customers are the most valuable asset of an organization. due to high contest in the business field, it is necessary to regard the customer relationship management (crm) of the enterprise. data mining and machine learning methods been utilized by businesses in recent years in order to improve crm. crm is the strategy for building, managing, and strengthening loyal and long lasting customer rela...

Customer segmentation is a prerequisite to all three phases of customer relationship management which consists of customer acquisition, customer retention and customer development. Input variables which are used in clustering techniques determine which phase of customer relationship management it is dealing with. As a result this paper aims at a review on the input variables used in customer se...

A novel approach for customer segmentation based on neural network is proposed in this paper. Customer purchase behavior is considered in the neural network by clustering technique. Compared with existing research, more information is included in the segmentation process. The experimental results indicate that our method is effective in customer segmentation. Key-Words: Neural network, clusteri...

customers segmentation and analyzing their behavior at fast moving costumer goods (fmgs) industries which deal with a large number of customers with a variety of characteristics causes the marketing activities to be targeted and leads to effective communication with the customers. segmentation, a data mining approach, which leads to the discovery of similar groups of customers, is usually done ...

For the success of CRM, it is important to target the most profitable customers of a company. Many CRM researches have been performed to calculate customer profitability and develop a comprehensive model of it. Most of them, however, had some limitations and accordingly the customer segmentation based on the customer profitability model is still underutilized. This paper aims at providing an ea...

studying about the customer segmentation and begetting customer ranking plan diverts more attention in recent years. in this regard, this study tries on providing a methodology for segmenting customers based on their value driver parameters which extracted from transaction data and then ranks customers with regard to their customer lifetime value (clv) score. discovering hidden pattern between ...

nowadays, marketing managers are more concerned with identifying and understanding customer behavior in the online space. since the customers in online space are not visible, it is much essential to have more information about them to provide better services. customer segmentation is one way to improve the customer problems in an online space. identifying characteristics of customers and optima...