Customer segmentation is an important research area that helps organizations to improve their services according to customer needs. With the increased information that shows customer attitudes, it is much easier and also more necessary than before to analyze customer responses on different campaigns. Recency, frequency, and monetary (RFM) analysis allows us to segment customers according to their common features. In this chapter, customer segmentation and RFM analysis are explained first, then a real case application of RFM analysis on customer segmentation for a Fuel company is presented. At the end of the application part, possible strategies for the company are generated
Today\u27s businesses have large quantity of demographic, economic and behavioral data on their cust...
Maintaining customer relationships is a key to business success in today’s competitive environment. ...
Submitted by Elaine Almeida (elaine.almeida@nce.ufrj.br) on 2017-05-09T15:38:01Z No. of bitstreams:...
Customer segmentation is an important research area that helps organizations to improve their servic...
Companies need to understand the customers' data better in all aspects. Detecting similarities and d...
This paper is a research on the segmentation of customers. The clustering of customers is done based...
In today’s business environment companies should need better understanding on customers’ data. Detec...
Monetary) has been used for over 50 years by direct marketers to target a subset of their customers,...
In this paper, we base our research by dealing with a real-world problem in an enterprise. A RFM (re...
The efficient segmentation of customers of an enterprise is categorized into groups of similar behav...
Data analytics allows companies mining the patterns and trends in their customers data to implement ...
Context: To build a successful relationship management (CRM), companies must start with the identifi...
Customers segmentation and analyzing their behavior at fast moving costumer goods (FMGS) industries ...
Abstract: RFM (Recency, Frequency, Monetary) analysis is a method to identify high-response customer...
Today's businesses have large quantity of demographic, economic and behavioral data on their custome...
Today\u27s businesses have large quantity of demographic, economic and behavioral data on their cust...
Maintaining customer relationships is a key to business success in today’s competitive environment. ...
Submitted by Elaine Almeida (elaine.almeida@nce.ufrj.br) on 2017-05-09T15:38:01Z No. of bitstreams:...
Customer segmentation is an important research area that helps organizations to improve their servic...
Companies need to understand the customers' data better in all aspects. Detecting similarities and d...
This paper is a research on the segmentation of customers. The clustering of customers is done based...
In today’s business environment companies should need better understanding on customers’ data. Detec...
Monetary) has been used for over 50 years by direct marketers to target a subset of their customers,...
In this paper, we base our research by dealing with a real-world problem in an enterprise. A RFM (re...
The efficient segmentation of customers of an enterprise is categorized into groups of similar behav...
Data analytics allows companies mining the patterns and trends in their customers data to implement ...
Context: To build a successful relationship management (CRM), companies must start with the identifi...
Customers segmentation and analyzing their behavior at fast moving costumer goods (FMGS) industries ...
Abstract: RFM (Recency, Frequency, Monetary) analysis is a method to identify high-response customer...
Today's businesses have large quantity of demographic, economic and behavioral data on their custome...
Today\u27s businesses have large quantity of demographic, economic and behavioral data on their cust...
Maintaining customer relationships is a key to business success in today’s competitive environment. ...
Submitted by Elaine Almeida (elaine.almeida@nce.ufrj.br) on 2017-05-09T15:38:01Z No. of bitstreams:...