Results 181 to 190 of about 856,045 (240)

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, Aydemir, Onur, Varlı, Songül, Say, Ayhan, Yilmaz, Iskender   +4 more
openaire   +2 more sources

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, Edward W. Frees, Fei Huang, Francis K. C. Hui   +3 more
openaire   +1 more source

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
openaire   +1 more source

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, Pita, Pedro, Brito, Isabel   +2 more
openaire   +3 more sources

Leveraging Predictive Analytics for Customer Churn: A Cross-Industry Approach in the US Market

International Journal of Applied Sciences and Radiation Research
Customer churn prediction is an important aspect of businesses to ensure their profitability in the USA. After a customer attrition calculation, which constitutes the percentage of lost customers compared to the total number of customers over a given ...
Oluwatomisin Olawale Fowowe, Rasheed Agboluaje   +1 more
semanticscholar   +1 more source

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
openaire   +1 more source

Predictive Analytics for Telecom Customer Churn: Enhancing Retention Strategies in the US Market

Journal of Computer Science and Technology Studies
The telecommunications industry in America has been characterized by exponential technological advancements and escalated competition, leading to heightened client expectations.
MD Rashed Mohaimin, Bimol Chandra Das, Rabeya Akter, Farhana Rahman Anonna, Muhammad Hasanuzzaman, Bivash Ranjan Chowdhury, Shah Alam   +6 more
semanticscholar   +1 more source

AI-Driven Predictive Modeling for Banking Customer Churn: Insights for the US Financial Sector

Journal of Ecohumanism
The US banking sector is operating within a very dynamic and competitive environment, providing a wide array of services under the pressure of increasingly demanding customers.
MD. Sohel Rana, Anchala Chouksey, Saddam Hossain, Md Sumsuzoha, Proshanta Kumar Bhowmik, Miraz Hossain, Md. Fazla Rabby, N. Gurung, MD Abdul Fahim Zeeshan   +8 more
semanticscholar   +1 more source

An improved Ant Colony Optimization to Uncover Customer Characteristics for Churn Prediction

Computational Journal of Mathematical and Statistical Sciences
: Customer churn prediction is a critical task in the telecommunication (telecom) industry, where accurate identification of customers at risk of churning plays a vital role in reducing customer attrition.
Ibrahim AlShourbaji, A. Jabbari, Shaik Rizwan, Mostafa Mehanawi, Phiros Mansur, Mohammed Abdalraheem   +5 more
semanticscholar   +1 more source

Effects of Data Resampling on Predicting Customer Churn via a Comparative Tree-based Random Forest and XGBoost

Journal of Computing Theories and Applications
Customer attrition has become the focus of many businesses today – since the online market space has continued to proffer customers, various choices and alternatives to goods, services, and products for their monies. Businesses must seek to improve value,
R. E. Ako, Fidelis Obukowho Aghware, M. Okpor, M. I. Akazue, R. Yoro, A. Ojugo, De Rosal Ignatius Moses Setiadi, Christopher Chukwufunaya Odiakaose, R. Abere, Frances Emordi, V. Geteloma, P. Ejeh   +11 more
semanticscholar   +1 more source