Proceedings of the 2018 International Conference on Information Technology and Management Engineering (ICITME 2018)

Study of the Sports Precision Marketing Model under Big Data Environment

Authors
Xiaoyan Zhou, Fei Huang
Corresponding Author
Xiaoyan Zhou
Available Online August 2018.
DOI
10.2991/icitme-18.2018.6How to use a DOI?
Keywords
big data; sports; precision marketing; model
Abstract

Under the influence of big data environment, the sports marketing method becomes more personalized and precise. Sports precision marketing is based on the characteristics of consumer behavior of sports target market. It is the combination of quantitative and qualitative analysis methods for targeted marketing. By applied literature and example analysis, this paper pointed out the influence of large data environment on sports marketing. It made systematic study on the basic flow of precise sports marketing, and constructed a novel sports precision marketing model. The model provides a theoretical and practical reference for the research and application of big data technology and the innovation of marketing model in the field of sports.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Information Technology and Management Engineering (ICITME 2018)
Series
Advances in Intelligent Systems Research
Publication Date
August 2018
ISBN
10.2991/icitme-18.2018.6
ISSN
1951-6851
DOI
10.2991/icitme-18.2018.6How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiaoyan Zhou
AU  - Fei Huang
PY  - 2018/08
DA  - 2018/08
TI  - Study of the Sports Precision Marketing Model under Big Data Environment
BT  - Proceedings of the 2018 International Conference on Information Technology and Management Engineering (ICITME 2018)
PB  - Atlantis Press
SP  - 22
EP  - 26
SN  - 1951-6851
UR  - https://doi.org/10.2991/icitme-18.2018.6
DO  - 10.2991/icitme-18.2018.6
ID  - Zhou2018/08
ER  -