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Customer Behavior Analysis on a Tmall E-commerce Shop

Received: 5 October 2016     Accepted: 11 November 2016     Published: 25 November 2016
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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.

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

Keywords

E-commerce, CRM, K-mean Segmentation, Cluster Profile

References
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Cite This Article
  • 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

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    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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    AMA 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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  • @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}
    }
    

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  • 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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Author Information
  • School of Information, Beijing Wuzi University, Beijing, China

  • School of Information, Beijing Wuzi University, Beijing, China

  • School of Information, Beijing Wuzi University, Beijing, China

  • School of Information, Beijing Wuzi University, Beijing, China

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