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A comprehensive survey on customer churn analysis studies

Journal of Information and Telecommunication
This paper presents a comprehensive survey of customer churn analysis studies. It begins by examining the customer journey and touchpoints, emphasizing their influence on churn behaviour.
Maryam Shahabikargar, Amin Beheshti, Xuyun Zhang, Jin Foo, Alireza Jolfaei   +4 more
doaj   +1 more source

Customer Churn Prediction

, 2022
With the rapid advancement of digital systems and related information technologies, there is agrowing tendency in the global economy to develop digital CRM systems. This research uses a real-world study to predict customer churn and recommends the use of
Dr.K.Geetha, Prachi Tomar, Anisha Jain
core   +1 more source

Data-driven approaches to predicting customer churn in a non-contractual car-sharing company

Transportation Research Interdisciplinary Perspectives
Customer churn is a commonly found problem in most businesses. Yet, it is not well studied in sharing economy businesses, due largely to difficulty in observing customer attrition across different customer segments.
Pawaris Wachwanakijkul, Supawit Junsiritrakhoon, Nantachai Kantanantha, Gopalakrishnan Narayanamurthy, Pisit Jarumaneeroj   +4 more
doaj   +1 more source

Modeling churn using customer lifetime value. [PDF]

The definition and modeling of customer loyalty have been central issues in customer relationship management since many years. Recent papers propose solutions to detect customers that are becoming less loyal, also called churners.
Croux, Christophe, Baesens, Bart, Glady, Nicolas   +2 more
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Development of a Flask-based Application for Bank Customer Churn Prediction as a Decision Support Tool

Sistemasi: Jurnal Sistem Informasi
Customer churn prediction is a crucial aspect of the banking industry for maintaining customer loyalty and reducing the cost of acquiring new customers.
Suluh Arif Wibowo, Muhammad Rezky, Ali Ibrahim, Mira Afrina, Fathoni Fathoni   +4 more
doaj   +1 more source

XGBoost Algorithm for Telecom Customer Churn Prediction and Its Business Implications [PDF]

ITM Web of Conferences
Predicting customer loss is a critical challenge for telecommunications companies, as identifying at-risk customers is key to reducing financial losses and formulating effective retention strategies.
Song Hao
doaj   +1 more source

ChurnKB: A Generative AI-Enriched Knowledge Base for Customer Churn Feature Engineering

Algorithms
Customers are the cornerstone of business success across industries. Companies invest significant resources in acquiring new customers and, more importantly, retaining existing ones.
Maryam Shahabikargar, Amin Beheshti, Wathiq Mansoor, Xuyun Zhang, Eu Jin Foo, Alireza Jolfaei, Ambreen Hanif, Nasrin Shabani   +7 more
doaj   +1 more source

Predicting Customer Churn

, 2022
The focus of this project is in predicting customer churn. It is essential to consider and handle the imbalance problem, that is why this project explains the imbalance problem, states its importance and presents some methods to handle it. It continues to describe the algorithms of three classification algorithms; logistic regression, classification ...
openaire   +1 more source

Prediction of Customer Churn in Banking Industry

CoRR, 2020
With the growing competition in banking industry, banks are required to follow customer retention strategies while they are trying to increase their market share by acquiring new customers. This study compares the performance of six supervised classification techniques to suggest an efficient model to predict customer churn in banking industry, given ...
openaire   +3 more sources

Data Mining Techniques in Customer Churn Prediction [PDF]

, 2012
[[abstract]]"Customer churn prediction is one of the most important problems in customer relationship management (CRM). Its aim is to retain valuable customers to maximize the profit of a company.
蔡志豐;Tsai, Chih-Fong;盧鈺欣;Lu, Yu-Hsin
core