Research on brand value improvement strategies of fresh products based on cluster analysis-taking cold fresh meat as an example

Aiming at the strategies to improve the brand value of fresh products, this paper uses the field research data, official data, public information data in the industry, etc. in the cold fresh meat market as the data basis of the research, and uses cluster analysis to divide the cold fresh meat consum...

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Bibliographic Details
Published in:Journal of physics. Conference series 2019-12, Vol.1423 (1), p.12023
Main Authors: Ye, Yanghao, Wang, Qing, Liu, Shengwen, Huang, Yajuan
Format: Article
Language:English
Subjects:
Cluster analysis
Correlation analysis
Meat
Physics
Online Access:Get full text
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Summary:Aiming at the strategies to improve the brand value of fresh products, this paper uses the field research data, official data, public information data in the industry, etc. in the cold fresh meat market as the data basis of the research, and uses cluster analysis to divide the cold fresh meat consumer groups into potential group and main force group, conservative group and follow-suit group. And it uses SPSS and mathematical modeling to analyze the characteristic portraits of the four categories of people, and gives strategies to improve the brand value of fresh products through correlation analysis.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1423/1/012023