Performance evaluation of different customer segmentation approaches based on RFM and demographics analysis

PA Sarvari, A Ustundag, H Takci - Kybernetes, 2016 - emerald.com
Purpose The purpose of this paper is to determine the best approach to customer
segmentation and to extrapolate associated rules for this based on recency, frequency and …

Predictive analytics using big data for increased customer loyalty: Syriatel Telecom Company case study

WN Wassouf, R Alkhatib, K Salloum, S Balloul - Journal of Big Data, 2020 - Springer
Given the growing importance of customer behavior in the business market nowadays,
telecom operators focus not only on customer profitability to increase market share but also …

Idea selection of new service for courier business: The opportunity of data analytics

J Jintana, A Sopadang… - International Journal of …, 2021 - journals.sagepub.com
E-commerce growth enforces the courier business to focus on developing a new business
model decision. This paper aims to explore a suitable new business idea for courier …

E-commerce customer segmentation via unsupervised machine learning

B Shen - The 2nd international conference on computing and …, 2021 - dl.acm.org
Customer segmentation through data mining could help companies conduct customer-
oriented marketing and build differentiated strategies targeted at diverse customers …

Development of a smart traceability system for the rice agroindustry supply chain in Indonesia

PB Purwandoko, KB Seminar, Sutrisno, Sugiyanta - Information, 2019 - mdpi.com
Rice is an essential food commodity in national and food security in Indonesia with a
complex supply chain network. Various risks related to food quality and food safety occurs …

Clustering of bank customers based on lifetime value using data mining methods

SMH Hasheminejad… - Intelligent Decision …, 2020 - content.iospress.com
In the current competition environment, organizations have realized that to gain profit, in
addition to attract customers, they should have a good relationship with them Understanding …

Cluster-Based Approaches toward Developing a Customer Loyalty Program in a Private Security Company

A de Sousa, S Moro, R Pereira - Applied Sciences, 2023 - mdpi.com
This study aimed to create a loyalty program for a private security company's most valuable
customers using clustering techniques on a dataset from the company. K-means was …

Data mining techniques for analyzing bank customers: A survey

SMH Hasheminejad… - Intelligent Decision …, 2018 - content.iospress.com
In today's business world, identifying the customers and analysis of their behavior is
important for banking industry. Customer Relationship Management (CRM) is the process of …

[PDF][PDF] Customer clustering for a new method of marketing strategy support within the courier business

J Jintana, T Mori - Academia Book Chapter, 2019 - researchgate.net
This paper presents the application of a data analytics technique to enable courier
businesses to better serve customers and conduct customer segmentation more effectively …

An RFM and CLV analysis for customer retention and customer relationship management of a logistics firm

L Paul, TR Ramanan - International Journal of Applied …, 2019 - inderscienceonline.com
To retain a customer in a logistics industry is difficult as it highly depends on the customer
relationship management (CRM) and the quality of the service delivered. The existing …