A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners

A Manzoor, MA Qureshi, E Kidney, L Longo - IEEE Access, 2024 - ieeexplore.ieee.org
Due to market deregulation and globalisation, competitive environments in various sectors
continuously evolve, leading to increased customer churn. Effectively anticipating and …

Customer churn prediction using composite deep learning technique

A Khattak, Z Mehak, H Ahmad, MU Asghar… - Scientific Reports, 2023 - nature.com
Customer churn, a phenomenon that causes large financial losses when customers leave a
business, makes it difficult for modern organizations to retain customers. When dissatisfied …

[HTML][HTML] Developing strategies to retain organizational insurers using a clustering technique: Evidence from the insurance industry

K Shahroodi, SA Darestani, S Soltani… - … Forecasting and Social …, 2024 - Elsevier
Formulating strategies to maintain policyholders is one of the main challenges for most
insurance companies in Iran. The purpose of this article is to help marketing strategists of …

AI-Based Customer Churn Prediction Model for Business Markets in the USA: Exploring the Use of AI and Machine Learning Technologies in Preventing Customer …

N Gurung, MR Hasan, MS Gazi… - Journal of Computer …, 2024 - al-kindipublisher.com
Understanding consumer churn is pivotal for companies in the USA to develop efficient
strategies for consumer retention and reduce its negative effects on revenue and profitability …

Mental Health Problems Prediction Using Machine Learning Techniques

JP Cheng, SC Haw - … Journal on Robotics, Automation and Sciences, 2023 - mmupress.com
Mental health problems encompass a range of conditions that can impact an individual's
emotions and behaviors. The conventional methods of mental illness prediction often suffer …

Prediksi Retensi Pengguna Baru Shopee Menggunakan Machine Learning

WF Mustafa, S Hidayat… - JURNAL MEDIA …, 2024 - ejurnal.stmik-budidarma.ac.id
Shopee has evolved into one of the leading e-commerce platforms connecting sellers with
consumers. However, the challenge of keeping users active and engaged on the platform …

An autonomous mixed data oversampling method for AIOT-based churn recognition and personalized recommendations using behavioral segmentation

G Fatima, S Khan, F Aadil, DH Kim, G Atteia… - PeerJ Computer …, 2024 - peerj.com
The telecom sector is currently undergoing a digital transformation by integrating artificial
intelligence (AI) and Internet of Things (IoT) technologies. Customer retention in this context …

TSUNAMI-an explainable PPM approach for customer churn prediction in evolving retail data environments

V Pasquadibisceglie, A Appice, G Ieva… - Journal of Intelligent …, 2023 - Springer
Retail companies are greatly interested in performing continuous monitoring of purchase
traces of customers, to identify weak customers and take the necessary actions to improve …

Unveiling the Power of Social Influence: A Machine Learning Framework for Churn Prediction With Network Analysis

B Amiri, SH Hosseini - IEEE Access, 2024 - ieeexplore.ieee.org
Customer churn is a significant concern for firms due to the high cost of acquiring new
customers. The expenditure related to developing new consumers surpasses that of …

Customer churn prediction using machine learning models

G Sam, P Asuquo, B Stephen - Journal of Engineering …, 2024 - publish7promo.com
Customer churn is a critical concern for the telecommunication industry. Understanding and
predicting customer churn can lead to more effective retention strategies and an increase in …