Extracting Non-redundant Correlated Purchase Behaviors by Utility Measure

2017 ◽  
pp. 433-446 ◽  
Author(s):  
Wensheng Gan ◽  
Jerry Chun-Wei Lin ◽  
Philippe Fournier-Viger ◽  
Han-Chieh Chao
Keyword(s):  
Utility Measure ◽  
Purchase Behaviors

Extracting non-redundant correlated purchase behaviors by utility measure

2018 ◽  
Vol 143 ◽  
pp. 30-41 ◽  
Author(s):  
Wensheng Gan ◽  
Jerry Chun-Wei Lin ◽  
Philippe Fournier-Viger ◽  
Han-Chieh Chao ◽  
Hamido Fujita
Keyword(s):  
Utility Measure ◽  
Purchase Behaviors

The impact of co-branding on post-purchase behaviors in family restaurants

2006 ◽  
Vol 25 (2) ◽  
pp. 245-261 ◽  
Author(s):  
Soojin Lee ◽  
Woo Gon Kim ◽  
Hyun Jeong Kim
Keyword(s):  
Purchase Behaviors ◽  
Post Purchase ◽  
The Impact

scholarly journals The Effects of Athlete as a Product Endorser on Consumers' Purchase Behaviors

2010 ◽  
Vol 2 (1) ◽  
pp. 19-32 ◽  
Author(s):  
Yoshifumi Bizen ◽  
Munehiko Harada
Keyword(s):  
Purchase Behaviors

scholarly journals An Empirical Study on Customer Segmentation by Purchase Behaviors Using a RFM Model and K-Means Algorithm

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Jun Wu ◽  
Li Shi ◽  
Wen-Pin Lin ◽  
Sang-Bing Tsai ◽  
Yuanyuan Li ◽  
...  
Keyword(s):  
Clustering Algorithm ◽  
Management Strategies ◽  
Customer Segmentation ◽  
Customer Relationship ◽  
Total Consumption ◽  
Value Analysis ◽  
Online Sales ◽  
Real World Problem ◽  
High Level ◽  
Purchase Behaviors

In this paper, we base our research by dealing with a real-world problem in an enterprise. A RFM (recency, frequency, and monetary) model and K-means clustering algorithm are utilized to conduct customer segmentation and value analysis by using online sales data. Customers are classified into four groups based on their purchase behaviors. On this basis, different CRM (customer relationship management) strategies are brought forward to gain a high level of customer satisfaction. The effectiveness of our method proposed in this paper is supported by improvement results of some key performance indices such as the growth of active customers, total purchase volume, and the total consumption amount.

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