In recent years, China online marketing is very hot, and a lot of online shops run in the Tmall.com. This paper does an analysis of customer shopping behaviors in a certain e-commerce shop in Tmall. The shop is named X in this paper for privacy. Based on the descriptive analysis, it finds the profit customers and profit products in the shop. Then K-mean segmentation method is used to class the customers into 4 groups and the profiles of the customers in each group are described. The results on this paper can help the X shop to offer good services for the profit customers and do the precision marketing for all customers.
| Published in | International Journal on Data Science and Technology (Volume 2, Issue 6) |
| DOI | 10.11648/j.ijdst.20160206.11 |
| Page(s) | 57-61 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2016. Published by Science Publishing Group |
E-commerce, CRM, K-mean Segmentation, Cluster Profile
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APA Style
Renhao Jin, Song Han, Tao Liu, Songnan Xi. (2016). Customer Behavior Analysis on a Tmall E-commerce Shop. International Journal on Data Science and Technology, 2(6), 57-61. https://doi.org/10.11648/j.ijdst.20160206.11
ACS Style
Renhao Jin; Song Han; Tao Liu; Songnan Xi. Customer Behavior Analysis on a Tmall E-commerce Shop. Int. J. Data Sci. Technol. 2016, 2(6), 57-61. doi: 10.11648/j.ijdst.20160206.11
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Download@article{10.11648/j.ijdst.20160206.11,
author = {Renhao Jin and Song Han and Tao Liu and Songnan Xi},
title = {Customer Behavior Analysis on a Tmall E-commerce Shop},
journal = {International Journal on Data Science and Technology},
volume = {2},
number = {6},
pages = {57-61},
doi = {10.11648/j.ijdst.20160206.11},
url = {https://doi.org/10.11648/j.ijdst.20160206.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijdst.20160206.11},
abstract = {In recent years, China online marketing is very hot, and a lot of online shops run in the Tmall.com. This paper does an analysis of customer shopping behaviors in a certain e-commerce shop in Tmall. The shop is named X in this paper for privacy. Based on the descriptive analysis, it finds the profit customers and profit products in the shop. Then K-mean segmentation method is used to class the customers into 4 groups and the profiles of the customers in each group are described. The results on this paper can help the X shop to offer good services for the profit customers and do the precision marketing for all customers.},
year = {2016}
}
TY - JOUR T1 - Customer Behavior Analysis on a Tmall E-commerce Shop AU - Renhao Jin AU - Song Han AU - Tao Liu AU - Songnan Xi Y1 - 2016/11/25 PY - 2016 N1 - https://doi.org/10.11648/j.ijdst.20160206.11 DO - 10.11648/j.ijdst.20160206.11 T2 - International Journal on Data Science and Technology JF - International Journal on Data Science and Technology JO - International Journal on Data Science and Technology SP - 57 EP - 61 PB - Science Publishing Group SN - 2472-2235 UR - https://doi.org/10.11648/j.ijdst.20160206.11 AB - In recent years, China online marketing is very hot, and a lot of online shops run in the Tmall.com. This paper does an analysis of customer shopping behaviors in a certain e-commerce shop in Tmall. The shop is named X in this paper for privacy. Based on the descriptive analysis, it finds the profit customers and profit products in the shop. Then K-mean segmentation method is used to class the customers into 4 groups and the profiles of the customers in each group are described. The results on this paper can help the X shop to offer good services for the profit customers and do the precision marketing for all customers. VL - 2 IS - 6 ER -
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