A hybrid model for improving customer lifetime value prediction using stacking ensemble learning algorithm

A significant challenge that analysts and marketing managers often face is predicting future customer buying behavior. Identifying customers who are likely to make purchases down the line and estimating how much they will spend can help companies create more effective marketing campaigns and special...

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Veröffentlicht in:	Computers in human behavior reports Jg. 18; S. 100616
Hauptverfasser:	Haddadi, Amir Mohammad, Hamidi, Hodjat
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.05.2025 Elsevier
Schlagworte:	BG-NBD model CLV prediction Customer lifetime value K-means algorithm Machine learning algorithm Stacking ensemble learning BG-NBD model K-means algorithm Customer lifetime value Stacking ensemble learning CLV prediction Machine learning algorithm
ISSN:	2451-9588, 2451-9588
Online-Zugang:	Volltext
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