Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society

Research on Big Data Application in Precision Marketing

Authors
Xiaohong Qin, Jingfeng Zhao
Corresponding Author
Xiaohong Qin
Available Online April 2016.
DOI
10.2991/emim-16.2016.370How to use a DOI?
Keywords
Big data; Precision marketing; Precision marketing mode; Delivered value theory
Abstract

Big data research and application has become a hot spot in the information technology field, but how to use big data research customer behavior characteristics, to establishment of the era of big data customer insight and precision marketing system, this area is very small. Based on the reviewed of big data and precision marketing, and Based on the general process of marketing, from customer information collection and processing, customer segmentation and positioning, marketing strategy development, marketing, design, marketing, feedback results in five areas to explore big data applications in Precision Marketing.

Copyright
© 2016, 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 6th International Conference on Electronic, Mechanical, Information and Management Society
Series
Advances in Computer Science Research
Publication Date
April 2016
ISBN
10.2991/emim-16.2016.370
ISSN
2352-538X
DOI
10.2991/emim-16.2016.370How to use a DOI?
Copyright
© 2016, 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  - Xiaohong Qin
AU  - Jingfeng Zhao
PY  - 2016/04
DA  - 2016/04
TI  - Research on Big Data Application in Precision Marketing
BT  - Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society
PB  - Atlantis Press
SP  - 1824
EP  - 1828
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-16.2016.370
DO  - 10.2991/emim-16.2016.370
ID  - Qin2016/04
ER  -