Customer Churn Prediction in B2B Non-Contractual Business Settings Using Invoice Data

Customer Churn Prediction in B2B Non-Contractual Business Settings Using Invoice Data

Customer churn is a problem virtually all companies face, and the ability to predict it reliably can be a cornerstone for successful retention campaigns. In this study, we propose an approach to customer churn prediction in non-contractual B2B settings that relies exclusively on invoice-level data f...

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Bibliographic Details
Main Authors: Milan Mirkovic, Teodora Lolic, Darko Stefanovic, Andras Anderla, Danijela Gracanin
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Applied Sciences
Subjects:
churn prediction
machine learning
B2B
non-contractual
analytics
Online Access:https://www.mdpi.com/2076-3417/12/10/5001

Internet

https://www.mdpi.com/2076-3417/12/10/5001

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