نتایج جستجو برای: customer attraction
تعداد نتایج: 60199 فیلتر نتایج به سال:
In today’s world, customer purchasing behavior forecasting is one of the most important aspects of customer attraction. Good forecasting can help to develop marketing strategies more accurately and to spend resources more effectively. The creation of a customer recognition system (CRS) model concerns a difficult task due to the large number of possible features. Furthermore, there is a high n...
In today’s world, customer purchasing behavior forecasting is one of the most important aspects of customer attraction. Good forecasting can help to develop marketing strategies more accurately and to spend resources more effectively. The creation of a customer recognition system (CRS) model concerns a difficult task due to the large number of possible features. Furthermore, there is a high n...
A holistic approach, in the form of a process, is proposed in order to discover marketing intelligence from Internet data. The Internet-enabled knowledge discovery process contains the steps human resource identification, problem specification, data prospecting, domain knowledge elicitation, methodology identification, data pre-processing, pattern discovery, and knowledge post-processing. It al...
In cycle of attraction and keeping the customers, fulfilling the customer satisfaction via identifying of their needs is very important. So, identifying the amount of customer satisfaction and informed of the field of strength and weakness in this regard, helps manager programming in line with customers better maintenance. The objective of this study is determination and priority of effecting c...
Decision makers in business industries have seen the change from the old economy to a new economy. The old economy is goods-centred, transaction-based in nature, focused on customer attraction, and product-based thinking whereas the new economy is service-centred, subscription-based in its nature, focused on customer retention, and customer-based thinking. The firm of today has to evaluate its ...
Purpose: Growing development of technologies helped stronger customers with better relationship with companies. Consequently, marketers should pursue new ways of attracting customers and pathway. Modern customer buying path in the age of communication has been redesigned as 5A model (Aware, Appeal, Ask, Act, Advocate). The purpose is to identify customer opportunities of 5A model in tourism ind...
The customer relationship management (CRM) is a business methodology used to build long term profitable customers by analyzing customer needs and behaviors. The customer behavior is analyzed by choosing important attributes in the customer database. The customers are then segmented into groups according to their attribute values. The rules are generated using rule induction algorithms to descri...
Despite the importance of data mining techniques to customer relationship management (CRM), there is a lack of a comprehensive literature review and a classification scheme for it. This is the first identifiable academic literature review of the application of data mining techniques to CRM. It provides an academic database of literature between the period of 2000–2006 covering 24 journals and p...
This chapter deals with how to use data mining technology to find interesting pattern, which can be organized for global customer retention. Customer relationship management (CRM) comprises a set of processes and enabling systems supporting a business strategy to build long term, profitable relationships with specific customers. Customer data and information technology (IT) tools shape into the...
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