Comparative models in customer base analysis: parametric model and observation-driven model
This study conducts a dynamic rolling comparison between the Pareto/NBD model (parametric model) and machine learning algorithms (observation-driven models) in customer base analysis, which the literature has not comprehensively investigated before. The aim is to find the comparative edge of these...
Main Author: | Shao-Ming Xie |
---|---|
Format: | Article |
Language: | English |
Published: |
Vilnius Gediminas Technical University
2020-10-01
|
Series: | Journal of Business Economics and Management |
Subjects: | |
Online Access: | https://www.mla.vgtu.lt/index.php/JBEM/article/view/13194 |
Similar Items
-
Customer Lifetime Value Prediction Using Statistical Modeling: Predicting Online Payments in an Industry Setting
by: SUSOYKINA, Alina
Published: (2018) -
Models Used for Measuring Customer Engagement
by: Mihai TICHINDELEAN
Published: (2013-12-01) -
Estimación de customer lifetime value a nivel de clientes usando variables socio-demográficas y transaccionales
by: Ha Nui, Baek
Published: (2012) -
Measuring Customer Equity in Noncontractual Settings Using a Diffusion Model: An Empirical Study of Mobile Payments Aggregator
by: Wei Xue, et al.
Published: (2021-11-01) -
An Integrated Pareto/NBD- fuzzy weighted RFM model for customer segmentation in non-contractual setting
by: Amir Albadvi, et al.
Published: (2014-09-01)