This paper aims to explore the applicability of the RFM (Recentness,Frequency,Monetary) model in the customer segmentation of auto services companies, for which it obtains the weight of each index through the method of analytic hierarchy process (AHP) and segments the customers with K-means clustering method. This paper divides customers into several segments by comparing customer lifetime valu...

Analyzing information of bank's customers for Customer Behavior Modeling is a difficult problem since it is a multi dimensional problem. This study has been done in a bank at the analysis of customer’s behavior that isn’t limited to customer’s benefit in their general uses of banking services and also is considered as channel’s charges. In this study, used of k-means for customer segmentation a...

W provide a fully personalized model for optimizing multiple marketing interventions in intermediateterm customer relationship management (CRM). We derive theoretically based propositions on the moderating effects of past customer behavior and conduct a longitudinal validation test to compare the performance of our model with that of commonly used segmentation models in predicting intermediate-...

Data mining plays important role in marketing and is quite new. Although this field expands rapidly, data mining is still foreign issue for many marketers who trust only their experiences. Data mining techniques cannot substitute the significant role of domain experts and their business knowledge. In the other words, data mining algorithms are powerful but cannot effectively work without the ac...

The rapid growing of information technology (IT) motivates and makes competitive advantages in health care industry. Nowadays, many hospitals try to build a successful customer relationship management (CRM) to recognize target and potential patients, increase patient loyalty and satisfaction and finally maximize their profitability. Many hospitals have large data warehouses containing customer ...

T paper studies service-delivery design in settings where firms engage in value-creation activities that have the objective of generating additional revenue from customer interactions. The paper provides a general modelling framework to analyze the ties between market segmentation decisions, incentives, and process performance in such service-delivery systems. The firm is modelled as a single-s...

Partitioning of an image into several constituent components is called image segmentation. Myriad algorithms using different methods have been proposed for image segmentation. Many clustering algorithms and optimization techniques are also being used for segmentation of images. A major challenge in segmentation evaluation comes from the fundamental conflict between generality and objectivity. A...

A distributor of Apple products' experiences numerous difficulties in developing marketing strategies for new and existing mobile product entries that maximize customer satisfaction and the firm's profitability. This research, therefore, integrates market segmentation in platform-based product family design and conjoint analysis to identify iSystem combinations that increase customer satisfacti...