In pursuit of enhanced customer retention management: Review, key issues, and future directions

E Ascarza, SA Neslin, O Netzer, Z Anderson… - Customer Needs and …, 2018 - Springer
In today's turbulent business environment, customer retention presents a significant
challenge for many service companies. Academics have generated a large body of research …

A survey on machine learning methods for churn prediction

L Geiler, S Affeldt, M Nadif - International Journal of Data Science and …, 2022 - Springer
The diversity and specificities of today's businesses have leveraged a wide range of
prediction techniques. In particular, churn prediction is a major economic concern for many …

Telecom churn prediction and used techniques, datasets and performance measures: a review

H Jain, A Khunteta, S Srivastava - Telecommunication Systems, 2021 - Springer
Customer churn prediction in telecommunication industry is a very essential factor to be
achieved and it makes direct impact to customer retention and its revenues. Developing a …

[PDF][PDF] Comparing to techniques used in customer churn analysis

O Çelik, UO Osmanoglu - Journal of Multidisciplinary …, 2019 - researchgate.net
In today's competitive conditions, the importance of minimizing costs is increasing day by
day. As a result of the researches, it has been determined that the cost of attracting new …

[PDF][PDF] Automated feature selection and churn prediction using deep learning models

V Umayaparvathi, K Iyakutti - International Research Journal of …, 2017 - academia.edu
In this competitive world, mobile telecommunications market tends to reach a saturation
state and faces a fierce competition. This situation forces the telecom companies to focus …

Model optimization analysis of customer churn prediction using machine learning algorithms with focus on feature reductions

SM Sina Mirabdolbaghi, B Amiri - Discrete Dynamics in Nature …, 2022 - Wiley Online Library
Currently, Customers are struggling to retain their business in today's competitive markets.
Thus, the issue of customer churn becomes a significant challenge for the industries. In …

Customer churn prediction modelling based on behavioural patterns analysis using deep learning

S Agrawal, A Das, A Gaikwad… - … conference on smart …, 2018 - ieeexplore.ieee.org
Customer churn refers to when a customer ceases their relationship with a company. A
churn rate, used to estimate growth, is now considered as important a metric as financial …

Research on telecom customer churn prediction based on ensemble learning

Y Liu, J Fan, J Zhang, X Yin, Z Song - Journal of Intelligent Information …, 2023 - Springer
As the market in the telecom industry becomes saturated and competition between telecom
operators heats up, preventing customer churn has become a company's top concern. It is …

[PDF][PDF] Understanding consumer behavior with recurrent neural networks

T Lang, M Rettenmeier - Workshop on Machine Learning …, 2017 - userpage.fu-berlin.de
Consumer behavior in e-commerce can be described by sequences of interactions with a
webshop. We show that recurrent neural networks (RNNs) are a natural fit for modeling and …

Predicting customer churn for platform businesses: using latent variables of variational autoencoder as consumers' purchasing behavior

K Hasumoto, M Goto - Neural Computing and Applications, 2022 - Springer
Customer churn is considered a critical issue for all businesses, as customer loss leads to a
decrease in future profits. Although acquiring new customers can address such losses, this …