Results 31 to 40 of about 9,240 (196)
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2023 Customer churn, the termination of customer relationships with a business or service, is a critical metric that profoundly impacts a company's success. Effectively managing churn not only prevents revenue loss but also provides a competitive advantage by boosting customer retention rates.
openaire +2 more sources
MINIMAX PROBABILITY BASED CHURN PREDICTION FOR PROFIT MAXIMIZATION
ICTACT Journal on Soft Computing, 2021 Churn prediction has become a significant requirement for all customer centric organizations. Accurate prediction of churn can effectively improve customer loyalty and improve profits for the organization.
V Jude Nirmal
doaj +1 more source
A Model for Customer Churn Management of an Internet Service Provider [PDF]
مطالعات مدیریت کسب و کار هوشمند, 2022 Customer churning is one of the most important issues facing Internet Service Providers in a competitive and rapidly saturating market. Due to the high costs associated with attracting new customers, ISPs have turned to a customer retention approach that
Sahar Amiri +2 more
doaj +1 more source
Churn prediction based on text mining and CRM data analysis [PDF]
, 2014 Within quantitative marketing, churn prediction on a single customer level has become a major issue. An extensive body of literature shows that, today, churn prediction is mainly based on structured CRM data.
Heitz, Christoph +2 more
core +1 more source
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
openaire +2 more sources
Telecom Churn Prediction System Based on Ensemble Learning Using Feature Grouping
Applied Sciences, 2021 In recent years, the telecom market has been very competitive. The cost of retaining existing telecom customers is lower than attracting new customers.
Tianpei Xu, Ying Ma, Kangchul Kim
doaj +1 more source
Ensembles of probability estimation trees for customer churn prediction [PDF]
, 2010 Customer churn prediction is one of the most, important elements tents of a company's Customer Relationship Management, (CRM) strategy In tins study, two strategies are investigated to increase the lift. performance of ensemble classification models, i.e
A. Lemmens +20 more
core +3 more sources
B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM
Journal of Theoretical and Applied Electronic Commerce Research, 2022 Customer churn prediction is very important for e-commerce enterprises to formulate effective customer retention measures and implement successful marketing strategies.
Xiancheng Xiahou, Yoshio Harada
doaj +1 more source
Improving customer churn prediction by data augmentation using pictorial stimulus-choice data [PDF]
, 2012 The purpose of this paper is to determine the added value of pictorial stimulus-choice data in customer churn prediction. Using Random Forests and 5 times 2 fold cross-validation, this study analyzes how much pictorial stimulus choice data and survey ...
Ballings, Michel +2 more
core +2 more sources
Customer Segmentation and Churn Prediction via Customer Metrics
2022 30th Signal Processing and Communications Applications Conference (SIU), 2022 In this study, it is aimed to predict whether customers operating in the factoring sector will continue to trade in the next three months after the last transaction date, using data-driven machine learning models, based on their past transaction movements and their risk, limit and company data.
Tunahan Bozkan +3 more
openaire +1 more source