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Bank Customer Churn Prediction

Indian Journal of Data Mining, 2023
In the current challenging era, there is a stiff competition happening between the banking industries. To strengthen the grade and level of services they provide, banks focus on customer retention as well as the customer churning. Customer churning becomes one of the duties of corporate intelligences to speculate the number of customers leaving from ...
Jufin P A, Amrutha N
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Customer Churn Analysis

2020 28th Signal Processing and Communications Applications Conference (SIU), 2020
In this study, a system has been developed to predict customers who may leave the private pension system. For this purpose, a training data set was formed by combining the churn contracts in the previous months or years with nonchurn contracts for both classes equally. In the train data set, attribute selection was made and learning models were created.
Yildiz, Serdar   +4 more
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MULTI-STATE MODELLING OF CUSTOMER CHURN

ASTIN Bulletin, 2022
AbstractCustomer churn, which insurance companies use to describe the non-renewal of existing customers, is a widespread and expensive problem in general insurance, particularly because contracts are usually short-term and are renewed periodically. Traditionally, customer churn analyses have employed models which utilise only a binary outcome (churn or
Yumo Dong   +3 more
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Customer churn management

ACADEMICIA: An International Multidisciplinary Research Journal, 2017
Customer Churn, one of the most important issues in customer relationship management and marketing is especially in industries such as telecommunications, the financial and insurance. In recent decades much research has been done in this area. In this research, the index set for the reasons set reason churn customers for our customers is of particular ...
null Vineeta, Akanksha Bharti
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Predict Churning Customers – An Explorative Study

2022 17th Iberian Conference on Information Systems and Technologies (CISTI), 2022
Some banks and business managers are facing the problem of customer credit card attrition. Therefore, it was necessary to identify new strategies for banks and business managers to keep their customers satisfied. In this paper, we analyze the data from a fictitious data source available on Kaggle, to find out the reason behind this and to predict ...
Ferreira, Tomás   +2 more
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Customer Churn - A Reason to Churn

SSRN Electronic Journal, 2006
Back in 1999 the legendary US business guru Fred Reichheld exclaimed It is not how satisfied you keep your customers, its how many satisfied customers you keep. Customer satisfaction and customer loyalty are the best predictors of customer retention. There exists an interaction between the desired results and customer satisfaction, customer loyalty and
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ADTreesLogit model for customer churn prediction

Annals of Operations Research, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhou, Y   +7 more
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Customer-Churn Research Based on Customer Segmentation

2009 International Conference on Electronic Commerce and Business Intelligence, 2009
This article explores the unique features of the customer relationship management (CRM) system in Telecom industry and presents a customer-churn model based on customer segmentation. First, the improved Fuzzy C-means clustering algorithm is used to segment customer and conclude high value customer group characteristics.
Xiaobin Zhang, Gao Feng, Huang Hui
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Adoption of Churn Recognition System to Predict Customer Churn

2023
In the cutthroat competitive arena, it is a very challenging task for any enterprise to make a balance between retaining its existing loyal customers and attracting new customers. It is a tedious task to find the right segment of active customers and understand the reason behind churn numbers. It is said that it is five times more costly to attract new
Yuvraj Sharma   +2 more
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Managing Customer Churn via Service Mode Control

Mathematics of Operations Research, 2018
We introduce a novel stochastic control model for the problem of a service firm interacting over time with one of its customers who probabilistically churns depending on the customer’s satisfaction. The firm has two service modes available, and they determine the drift and volatility of the Brownian reward process.
Yash Kanoria, Ilan Lobel, Jiaqi Lu
openaire   +1 more source

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