Results 201 to 210 of about 856,045 (240)
Some of the next articles are maybe not open access.
Fusion: Practice and Applications
Intelligent data analytics for customer churn prediction (CCP) harnesses predictive modelling algorithms, machine learning (ML) techniques, and advanced big data analytics and also uncovers the underlying drivers and patterns of churn and detects ...
E. Akhmetshin +4 more
semanticscholar +1 more source
Intelligent data analytics for customer churn prediction (CCP) harnesses predictive modelling algorithms, machine learning (ML) techniques, and advanced big data analytics and also uncovers the underlying drivers and patterns of churn and detects ...
E. Akhmetshin +4 more
semanticscholar +1 more source
Predicting Customer Churn at QWE Inc.
Darden Business Publishing Cases, 2017This case exposes students to predictive analytics as applied to discrete events with logistic regression. The VP of customer services for a successful start-up wants to proactively identify customers most likely to cancel services or “churn.” He assigns the task to one of his associates and provides him with data on customer behavior and his intuition
openaire +1 more source
IEEE transactions on consumer electronics
This study examines the issue of customer churn in the context of e-commerce businesses. Customer churn, or losing customers, poses a significant challenge for these businesses as they strive to retain a loyal customer base.
Qing Wei
semanticscholar +1 more source
This study examines the issue of customer churn in the context of e-commerce businesses. Customer churn, or losing customers, poses a significant challenge for these businesses as they strive to retain a loyal customer base.
Qing Wei
semanticscholar +1 more source
Customer churn prediction for retention analysis
Abstract This abstract provides a comprehensive overview of the research on Customer Churn Prediction for Retention Analysis. In today's corporate context, understanding and mitigating customer churn has become critical for long-term success.Rajesh Saturi +3 more
openaire +1 more source
RFM segmentation and customer churn
2019Since the increased importance is placed on consumer's purchasing behavior, more and more firms are focusing on customer segmentation to get insights about their clients. RFM segmentation is becoming, increasingly, popular in businesses as a marketing tool, which is used to group clients based on three fundamental features; the time elapsed from the ...
openaire +1 more source