Results 101 to 110 of about 899,252 (240)

Customers Suffer From Employee Churn: High Turnover Makes It Harder to Provide Top Service [PDF]

, 2009
Key Findings: • As rates of voluntary turnover climb within key business units, customers are more likely to report bad customer service. • When new workers arrive, established workers have to take time away from customer service to train the
Center for Advanced Human Resource Studies, ILR School, Cornell University.
core   +1 more source

Prediction of Customer Churn in Banking Industry

CoRR, 2020
With the growing competition in banking industry, banks are required to follow customer retention strategies while they are trying to increase their market share by acquiring new customers. This study compares the performance of six supervised classification techniques to suggest an efficient model to predict customer churn in banking industry, given ...
openaire   +2 more sources

Modeling churn using customer lifetime value. [PDF]

The definition and modeling of customer loyalty have been central issues in customer relationship management since many years. Recent papers propose solutions to detect customers that are becoming less loyal, also called churners.
Baesens, Bart, Croux, Christophe, Glady, Nicolas   +2 more
core  

Data-driven Customer Behaviour Model Generation for Agent Based Exploration [PDF]

, 2016
Customer retention is a critical concern for most mobile network operators because of the increasing competition in the mobile services sector. This concern has driven companies to exploit data as an avenue to better understand customer needs.
Bell, DJ, Mgbemena, C
core  

Customer Churn Prediction using Machine Learning Models

Journal of Engineering Research and Reports
Customer churn is a critical concern for the telecommunication industry. Understanding and predicting customer churn can lead to more effective retention strategies and an increase in profitability.
Glory F. Sam, P. Asuquo, B. Stephen
semanticscholar   +1 more source

Customer churn modeling in telecommunication using a novel multi-objective evolutionary clustering-based ensemble learning

PLoS ONE
Customer churn prediction is vital for organizations to mitigate costs and foster growth. Ensemble learning models are commonly used for churn prediction.
Kaveh Faraji Googerdchi, Shahrokh Asadi, Seyed Mohammadbagher Jafari   +2 more
semanticscholar   +1 more source

Churn prediction for SaaS company with machine learning [PDF]

Innovation & Management Review
Purpose – In an era marked by fierce business competition, customer retention is crucial for sustaining profitability. Churn prediction, the ability to forecast customer defections, is essential to enhance retention and can profoundly impact a company’s ...
Hugo Eduardo Sanches, Ayslan Trevizan Possebom, Linnyer Beatrys Ruiz Aylon   +2 more
doaj   +1 more source

A Data Mining Process Framework for Churn Management in Mobile Telecommunication Industry [PDF]

, 2009
Churning which is a sudden defection of a subscriber to competitors is a disturbing problem in the global telecommunication industry. However, the effectiveness of existing churn control strategies can be improved if an integrated approach that ...
Daramola, Olawande, Musa, G. A., Oladipupo, O. O.   +2 more
core  

CUSTOMER CHURN PREDICTION

IARJSET, 2021
Senthilnayaki B, Swetha M, Nivedha D
openaire   +1 more source

Customer Churn Prediction Approach Based on LLM Embeddings and Logistic Regression

Future Internet
Nowadays, predicting customer churn is essential for the success of any company. Loyal customers generate continuous revenue streams, resulting in long-term success and growth.
Meryem Chajia, E. Nfaoui
semanticscholar   +1 more source