Improving B2B customer churn through action rule mining
| Year of publication: |
2025
|
|---|---|
| Authors: | Guliyev, Emil ; Sanchez Ramirez, Juliana ; Caigny, Arno de ; Coussement, Kristof |
| Published in: |
Industrial marketing management : the international journal for industrial and high-tech firms. - New York, NY [u.a.] : Elsevier, ISSN 1873-2062, ZDB-ID 2012747-9. - Vol. 125.2025, p. 1-11
|
| Subject: | Action rule mining | Actionable knowledge discovery | Churn prediction | Data Mining | Data mining | Bergbau | Mining | Beziehungsmarketing | Relationship marketing | B-to-B-Marketing | Business-to-business marketing |
-
Incorporating usage data for B2B churn prediction modeling
Sanchez Ramirez, Juliana, (2024)
-
Customer sentiment towards freebies in telecom sector : a social media mining approach
Ahmad, Suhel, (2021)
-
Utility-frequency analysis using customer market basket data in the retail sector
Türkölmez, Gökc̦e Baysal, (2022)
- More ...
-
Incorporating usage data for B2B churn prediction modeling
Sanchez Ramirez, Juliana, (2024)
-
Life event-based marketing using AI
Caigny, Arno de, (2025)
-
Beyer Díaz, Stephanie, (2025)
- More ...