Recency, Frequency, Monetary Value, Clustering, and Internal and External Indices for Customer Segmentation from Retail Data

Recency, Frequency, Monetary Value, Clustering, and Internal and External Indices for Customer Segmentation from Retail Data

While there are several ways to identify customer behaviors, few extract this value from information already in a database, much less extract relevant characteristics. This paper presents the development of a prototype using the recency, frequency, and monetary attributes for customer segmentation o...

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Bibliographic Details
Main Authors: Henrique José Wilbert, Aurélio Faustino Hoppe, Andreza Sartori, Stefano Frizzo Stefenon, Luís Augusto Silva
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Algorithms
Subjects:
retailing
customer behavior
clustering
segmentation
external validation indices
Online Access:https://www.mdpi.com/1999-4893/16/9/396

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https://www.mdpi.com/1999-4893/16/9/396

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