the main purpose of this study was the bank market segmentation or in other words, dividing bank market into distinct groups of customers who might require separate marketing mix. gaining this purpose, 640 questionnaires were gathered. to investigate the reliability of questionnaires, content and face validity approaches were used. furthermore, for the estimation of the reliability of questionn...

Business intelligence tools have enabled novel and relatively low-cost capabilities to collect and analyze vast amount of customer information. Accumulation of customer specific information along with transactional data empowers firms to categorize customers into segments and offer customized prices. We study the impact of price discrimination and market segmentation on competition and consumer...

In recent years, enriching traditional revenue management models by considering the customer choice behavior has been a main challenge for researchers. The terminology for the airline application is used as representative of the problem. A popular and an efficient model considering these behaviors is choice-based deterministic linear programming (CDLP). This model assumes that each customer bel...

E-commerce system has become more popular and implemented in almost all business areas. is a platform for marketing promoting the products to customer through online. Customer segmentation known as process of dividing customers into groups which shares similar characteristics. The purpose determine how deal with each category order increase profit business. Segmenting assist identify their prof...

Nowadays customer attrition is increasingly serious in commercial banks. To combat this problem roundly, mining customer evaluation texts is as important as mining customer structured data. In order to extract hidden information from customer evaluations, Textual Feature Selection, Classification and Association Rule Mining are necessary techniques. This paper presents all three techniques by u...

Cross-selling is becoming an increasingly prevalent practice in call centers, due, in part, to its unique capability to allow firms to dynamically segment their callers and customize their product offerings accordingly. This paper considers a call center with cross-selling capability that serves a pool of customers that are differentiated in terms of their revenue potential and delay sensitivit...

In new Era, customer segmentation is applied everywhere to get dimensions in industries. Customer analytics plays a significant role learning trust of by studying their behaviour. This paper includes research review different researchers on using machine and findings gap areas where further work can be done. As one the primary reason for churning bad experience terms quality, understanding conc...

There's no such thing as data quality in general: it all depends on the particular business application [10]. With this in mind, we begin by introducing customer segmentation as a basic data mining application in analytical CRM. We describe the structure of the data mining environment and outline data selection as an essential, but difficult sub-problem. From there, we go on to develop three pe...