Results 41 to 50 of about 3,473 (211)

Customer Churn in Subscription Business Model—Predictive Analytics on Customer Churn

open access: yesBCP Business & Management, 2023
There is a growing tendency for more companies to develop towards a subscription business model. Under such a trend, it is important to learn about the customer churn rate within the business, learn from it and adjust business strategies accordingly.
openaire   +1 more source

Behavior Analysis of Customer Churn for a Customer Relationship System: An Empirical Case Study [PDF]

open access: yes, 2019
This article describes how the bank industry in Taiwan must function in today's tough and fiercely competitive domestic credit card market and subdued global market.
Li Chen Cheng; Chia-Chi Wu; Chih-Yi Chen
core   +1 more source

Churn prediction analysis of telecom customers using svm, random forest and logistic regression models using orange data mining tools [PDF]

open access: yesE3S Web of Conferences
This research aims to apply classification algorithms to telecommunication customer churn data using Orange Data Mining. The methods used include Support Vector Machine (SVM), Random Forest and Logistic Regression. The dataset used is secondary data, the
Nurtriana Ana   +3 more
doaj   +1 more source

Predicting Customer Churn using ensemble learning: Case Study of a Fixed Broadband Company

open access: yesInternational Journal of Technology, 2021
Technology advancement has developed a shift perception towards better service from internet providers, and the power to move easily to another provider to secure improved quality results in customer churn.
Arian Dhini, Muhammad Fauzan
doaj   +1 more source

GA optimization-based BRB AI reasoning algorithm for determining the factors affecting customer churn for operators

open access: yesSocial Sciences and Humanities Open
Customer churn directly leads to the weakening of the economic efficiency of an operator and even the loss of its competitive advantage in the market share. The identification and prediction of customer churn in the era of interconnection has become more
Liu Kun   +2 more
doaj   +1 more source

Telecommunications Customer Churn and Loyalty Intention [PDF]

open access: yesMarketing and Management of Innovations, 2019
Nowadays the telecommunications sector is becoming very complex Because of the panoply of high-speed technological services. Customers are abandoning the services offered by telecommunications operators because of their dissatisfaction with the services they offer. «Churn» or the migration of customers from one telecommunications operator to another is
Mbarek, R., Baeshen, Ya.
openaire   +2 more sources

Analysis and Classification of Customer Churn Using Machine Learning Models

open access: yesJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023
Analysis studies of customer loss (customer churn) have been used for years to increase profitability and build customer relationships with companies.
Muhammad Maulana Sidiq Nurhidayat   +1 more
doaj   +1 more source

Design of Prediction Model using Data Mining for Segmentation and Classification Customer Churn in E-Commerce Mall in Mall

open access: yesJOIV: International Journal on Informatics Visualization, 2023
The classification of churn is driven by the potential risks e-commerce companies face, such as losing customers who discontinue their service usage or churn.
Ilham Huda   +2 more
doaj   +1 more source

Factors Influence Customer Churn on Internet Service Provider in Indonesia

open access: yesTIJAB (The International Journal of Applied Business), 2022
Rapid growth of internet users in Indonesia and the Covid-19 pandemic situation has prompted the emergence of new Internet Service Providers in line with the increasing demand for internet access.
Handi Aulia Triyafebrianda   +1 more
doaj   +1 more source

Telecom customer churn prediction

open access: yes, 2020
Customer churn is often referred to as customer attrition, or customer defection which is the rate at which the customers are lost. Telecom companies often use customer churn as a key business metrics to predict the number of customers that will leave a ...

core   +1 more source

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