Customer Segmentation Using RFM Model and a New Approach to Encourage Loyal Customers

AS Uthara, S Sajikumar, RC Jisha - International Conference on …, 2023 - Springer
This paper focuses on customer segmentation using the recency, frequency, and monetary
(RFM) model and implements strategies to reward and notify loyal customers through email …

Machine Learning based prototype for Customer Segmentation using RFM

V Asha, B Saju, SN Dhirendra… - 2023 Second …, 2023 - ieeexplore.ieee.org
One way to hike consumer satisfies the services of the company provides is through an use
of the customer relationship management (CRM) system. It can be difficult to determine the …

A study of customer segmentation based on RFM analysis and K-means

S Dwivedi, A Singh - International Conference On Innovative Computing …, 2023 - Springer
The rapid growth of the competitive market in today's world has encouraged marketers to
have more data-driven marketing strategies. As customers come from diverse backgrounds …

Customer Segmentation with RFM Analysis using ML Models

M Kaur, A Sharma, M Kishore… - 2023 3rd …, 2023 - ieeexplore.ieee.org
The technique of examining the attributes of customers and creating groups based on some
specific characteristics is known as customer segmentation. Customer segmentation is a …

[PDF][PDF] Customer segmentation using rfm model and k-means clustering

R Shirole, L Salokhe, S Jadhav - Int. J. Sci. Res. Sci. Technol, 2021 - academia.edu
Today as the competition among marketing companies, retail stores, banks to attract newer
customers and maintain the old ones is in its peak, every company is trying to have the …

" Unlocking Customer Value through RFM Segmentation: Strategies for Revenue Optimization

JG Changani - papers.ssrn.com
Customer segmentation is vital for businesses to personalize their marketing and increase
revenue. The RFM (Recency, Frequency, Monetary) segmentation model is a popular …

Hybrid model for customer segmentation based on RFM framework

Y Xiao - 2022 7th International Conference on Intelligent …, 2022 - ieeexplore.ieee.org
With the development of big data technologies in recent years, companies that can efficiently
use customer data are gaining an edge in the market competition. For e-commerce …

Customer segmentation with machine learning: New strategy for targeted actions

L Abidar, D Zaidouni, A Ennouaary - Proceedings of the 13th …, 2020 - dl.acm.org
Customers Segmentation has been a topic of interest for a lot of industry, academics, and
marketing leaders. The potential value of a customer to a company can be a core ingredient …

Combining RFM model and clustering techniques for customer value analysis of a company selling online

RA Daoud, A Amine, B Bouikhalene… - 2015 IEEE/ACS 12th …, 2015 - ieeexplore.ieee.org
A case study of applying RFM (recency, frequency, and monetary) model and clustering
techniques in the sector of electronic commerce with a view to evaluating customers' values …

Customer segmentation based on RFM analysis and unsupervised machine learning technique

L Hallishma - … Conference on Advanced Network Technologies and …, 2022 - Springer
Customers should be one of the main focal points of any profitable business. Loyal
customers who develop a relationship with the organization raise multitudes of business …