Results 161 to 170 of about 15,863 (207)
Some of the next articles are maybe not open access.
Journal of Interactive Marketing, 1999
Abstract A central problem in database marketing is how to choose which customers in the firm's database to target with an offer. This paper presents a simple stochastic RFM model to carry out such a task. By making a few straightforward assumptions about the customers in the database, the stochastic model provides a means of (1) ranking customers in
Richard Colombo, Weina Jiang
openaire +1 more source
Abstract A central problem in database marketing is how to choose which customers in the firm's database to target with an offer. This paper presents a simple stochastic RFM model to carry out such a task. By making a few straightforward assumptions about the customers in the database, the stochastic model provides a means of (1) ranking customers in
Richard Colombo, Weina Jiang
openaire +1 more source
Knowledge Discovery on RFM Model using Bernoulli Sequence
SSRN Electronic Journal, 2009The objective of this paper is to introduce a comprehensive methodology to discover the knowledge for selecting targets for direct marketing from a database. This study expanded RFM model by including two parameters, time since first purchase and churn probability.
I-Cheng Yeh +2 more
openaire +1 more source
Customer Segmentation Using Fuzzy-AHP and RFM Model
2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2020In today’s business environment the number of customers buying products online have increased, it is difficult for the firm to determine customer lifetime value (CLV) of every customer. In this paper, customer segmentation is used to find the customer lifetime value for a UK based registered company that sells unique gifts.
Anu Gupta Aggarwal, Sweta Yadav
openaire +1 more source
RFM approach for telecom insolvency modeling
Kybernetes, 2016Purpose – The purpose of this paper is to present application of recency, frequency and monetary value (RFM) approach to predict customer insolvency using telecommunication data corresponding to RFM of late payments. The study tackles a serious problem that telecommunication companies often face and shows the ways to ...
openaire +1 more source
Customer lifetime value determination based on RFM model
Marketing Intelligence & Planning, 2016Purpose– One of the salient challenges in customer-oriented organizations is to recognize, segment and rank customers. Customer segmentation is usually based on customer lifetime value (CLV) measured by three purchase variables: “Recency,” “Frequency” and “Monetary.” However, due to the ambiguity of these variables, using deterministic approach is not ...
Fariba Safari +2 more
openaire +1 more source
Segmentaion of C2C Customer Using RFM Model
2011Customers segmentation is the key to customer relationship management, this paper analyze RFM (recency, frequency, and monetary value) paradigm with customer, and use RFM value as clustering properties by K-means. The customers can be divided into four levels includes important keep customers, important development customers, general customers ...
Jianying Xiong, Leiyue Yao
openaire +1 more source
Segmentasi Loyalitas Pelanggan dengan Model RFM Menggunakan Algoritma Clarans
Prosiding Sains Nasional dan Teknologi, 2022Dalam menentukan upaya kelompok-kelompok pelanggan yang setia perlu melakukan pemeriksaan yang cermat menentukan karakteristik setiap pelanggan dalam bertransaksi. Dengan memiliki karakteristik untuk membuat suatu pengelompokan pelanggan juga perlukan dalam konsep segmentasi pelanggan.
openaire +1 more source
IMPLEMENTATION OF RFM ANALYSIS USING SUPPORT VECTOR MACHINE MODEL
2018 2nd International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 2018 2nd International Conference on, 2018In the modern business customer response is one of the vital characteristics of services. The customer relationship management accurately predict the invaluable customer. Because attention is needed to rate low response rating customers. Most of the direct marketing sectors randomly select and reduce degree of the influencing problem.
Ananthi Sheshasaayee, L. Logeshwari
openaire +1 more source
Personalized Dynamic Pricing with RFM Modeling
Proceedings of the 2021 7th International Conference on e-Society, e-Learning and e-Technologies, 2021Dimitrios Kelesakis +2 more
openaire +1 more source
Fast RFM Model for Customer Segmentation
Companion Proceedings of the Web Conference 2022, 2022Shicheng Wan +4 more
openaire +1 more source