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2009 WRI World Congress on Computer Science and Information Engineering
Study of Customer Lifetime Value Model Based on Survival-Analysis Methods
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
ASCII Text
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Yun Chen, Huirong Zhang, Ping Zhu, "Study of Customer Lifetime Value Model Based on Survival-Analysis Methods," Computer Science and Information Engineering, World Congress on, vol. 7, pp. 266-270, 2009 WRI World Congress on Computer Science and Information Engineering, 2009.
 
 
BibTex
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@article{ 10.1109/CSIE.2009.313,
author = {Yun Chen and Huirong Zhang and Ping Zhu},
title = {Study of Customer Lifetime Value Model Based on Survival-Analysis Methods},
journal ={Computer Science and Information Engineering, World Congress on},
volume = {7},
year = {2009},
isbn = {978-0-7695-3507-4},
pages = {266-270},
doi = {http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.313},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer Science and Information Engineering, World Congress on
TI - Study of Customer Lifetime Value Model Based on Survival-Analysis Methods
SN - 978-0-7695-3507-4
SP266
EP270
A1 - Yun Chen,
A1 - Huirong Zhang,
A1 - Ping Zhu,
PY - 2009
KW - Customer Lifetime Value
KW - survival analysis
KW - CLV model
VL - 7
JA - Computer Science and Information Engineering, World Congress on
ER -
 
Customer Lifetime Value (CLV) is one of the key metrics in marketing and is considered an important segmentation base. By using survival-analysis approach, this paper studies the calculation of the parameters of retention rate and customer lifetime. Then an improved CLV model is attained and an example is discussed in detail.
Index Terms:
Customer Lifetime Value, survival analysis, CLV model
Citation:
Yun Chen, Huirong Zhang, Ping Zhu, "Study of Customer Lifetime Value Model Based on Survival-Analysis Methods," csie, vol. 7, pp.266-270, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
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