نتایج جستجو برای: customer lifetime value
تعداد نتایج: 819821 فیلتر نتایج به سال:
Since the increased importance is placed on customer equity in today’s business environment, many firms are focusing on the notion of customer loyalty and profitability to increasing market share. Building successful customer relationship management (CRM), a firm starts from identifying customers’ true value and loyalty since customer value can provide basic information to deploy more targeted ...
With the rapid development of IT technology and fierce competition of market, the customer relationship management(CRM) has gained its importance in the market. Companies have attached importance to acquiring and retaining the most profitable customers. So calculating customer’s value is a significant segment for every effective CRM. Many researches have been performed to calculate customer’s v...
The approach of knowledge management, business intelligence, and customer relationship management was used as theoretical technologies in order to build an intelligence enterprise framework. Since the business intelligence process can create additional customer value through knowledge creation with the customer, business intelligence can provide users with reliable, accurate information and hel...
This paper argues that there are four key conceptual techniques used in Customer Relationship Management (CRM) which should be considered Imperatives for contemporary 21st century e-Business today. Customer Relationship Management itself may be defined as an attempt to find the most efficient way to focus the Marketing effort in order to generate revenue. The antecedents of successful Customer ...
In the past decade, firms have paid increasing attention to customer value management (CVM). Through customer-centric management systems, firms aim to maximize customer value. In this article, we put forth six important lessons that firms can employ for successful CVM, integrating available research knowledge and best practices: (1) use CVM to improve business performance; (2) ensure that CVM i...
Cognitive analytics management of the customer lifetime value: an artificial neural network approach
Purpose The purpose of this study is to show that the use CAM (cognitive analytics management) methodology a valid tool describe new technology implementations for businesses. Design/methodology/approach Starting from dataset recipes, we were able consumers through variant RFM (recency, frequency and monetary value) model. It has been possible categorize customers into clusters measure their pr...
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 ...
a r t i c l e i n f o The customer lifetime value combines into one construct the transaction timing, spending and dropout processes that characterize the purchase behavior of customers. Recently, the potential relationship between these processes , either at the individual customer level (i.e. intra-customer correlation) or between customers (i.e. inter-customer correlation), has received more...
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