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 …

ChurnNet: Deep Learning Enhanced Customer Churn Prediction in Telecommunication Industry

S Saha, C Saha, MM Haque, MGR Alam… - IEEE Access, 2024 - ieeexplore.ieee.org
In the Telecommunication Industry (TCI) customer churn is a significant issue because the
revenue of the service provider is highly dependent on the retention of existing customers. In …

[HTML][HTML] Enhancing customer retention in telecom industry with machine learning driven churn prediction

A Sikri, R Jameel, SM Idrees, H Kaur - Scientific Reports, 2024 - nature.com
Customer churn remains a critical concern for businesses, highlighting the significance of
retaining existing customers over acquiring new ones. Effective prediction of potential …

[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 …

[HTML][HTML] Archimedes Optimization Algorithm-Based Feature Selection with Hybrid Deep-Learning-Based Churn Prediction in Telecom Industries

HA Mengash, N Alruwais, F Kouki, C Singla… - Biomimetics, 2023 - mdpi.com
Customer churn prediction (CCP) implies the deployment of data analytics and machine
learning (ML) tools to forecast the churning customers, ie, probable customers who may …

[HTML][HTML] Customer churn prediction in telecom sector using machine learning techniques

SK Wagh, AA Andhale, KS Wagh, JR Pansare… - Results in Control and …, 2024 - Elsevier
In the telecom industry, large-scale of data is generated on daily basis by an enormous
amount of customer base. Here, getting a new customer base is costlier than holding the …

[HTML][HTML] A Decade of Churn Prediction Techniques in the TelCo Domain: A Survey

A Barsotti, G Gianini, C Mio, J Lin, H Babbar… - SN Computer …, 2024 - Springer
This work surveys the research contributions of the last decade to the prediction of customer
churn and adds a perspective toward what is yet to be reached. The main objective of this …

Offline Handwriting Signature Verification: A Transfer Learning and Feature Selection Approach

F Ozyurt, J Majidpour, TA Rashid, C Koc - arXiv preprint arXiv:2401.09467, 2024 - arxiv.org
Handwritten signature verification poses a formidable challenge in biometrics and document
authenticity. The objective is to ascertain the authenticity of a provided handwritten …

Assessing the effectiveness of OTT services, branded apps, and gamified loyalty giveaways on mobile customer churn in the telecom industry: A machine-learning …

OB Kirgiz, M Kiygi-Calli, S Cagliyor… - Telecommunications Policy, 2024 - Elsevier
Telecom operators allocate a significant amount of resources to retain their customers as the
organic growth in the number of customers is slowing down. Gamified loyalty programs …

[HTML][HTML] Customer Churn Analysis Based on the Data-mining Approach: Hybrid Algorithm‎ Incorporates Decision Tree and Bayesian Network

A Aghakhani Bezdi Langari - New Marketing Research Journal, 2023 - nmrj.ui.ac.ir
Today, companies and organizations are aware of the fact that customer retention leads to
greater profitability. Increasing competition causes the rate of customer churn to grow …