Proceedings of the 6th International Conference on Financial Innovation and Economic Development (ICFIED 2021)

Research on Marketing Segmentation

Authors
Boxiang Jia
Corresponding Author
Boxiang Jia
Available Online 22 March 2021.
DOI
10.2991/aebmr.k.210319.012How to use a DOI?
Keywords
Marketing segmentation, model, customers, logical model
Abstract

This article mainly organizes the methods of today’s market segmentation, describes their basic principles, compares the characteristics of different methods, and application scenarios, and also describes a detailed case using logistic regression to market segmentation. Therefore, the specific usage method of market segmentation is described in detail. The results of the case show that for market segmentation, considering the interaction between market segmentation variables and predictor variables can make the prediction effect of the model better.

Copyright
© 2021, 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 Financial Innovation and Economic Development (ICFIED 2021)
Series
Advances in Economics, Business and Management Research
Publication Date
22 March 2021
ISBN
978-94-6239-354-7
ISSN
2352-5428
DOI
10.2991/aebmr.k.210319.012How to use a DOI?
Copyright
© 2021, 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  - Boxiang Jia
PY  - 2021
DA  - 2021/03/22
TI  - Research on Marketing Segmentation
BT  - Proceedings of the 6th International Conference on Financial Innovation and Economic Development (ICFIED 2021)
PB  - Atlantis Press
SP  - 62
EP  - 66
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.210319.012
DO  - 10.2991/aebmr.k.210319.012
ID  - Jia2021
ER  -