Machine learning based customer meta-combination brand equity analysis for marketing behavior evaluation

作者：

Highlights：

• Study the overall overview of customer satisfaction;.

• Obtain the advantages and disadvantages of marketing strategies through quantitative analysis;.

• Put forward reasonable marketing strategy improvement opinions and suggestions in order to improve customer satisfaction.

摘要

•Study the overall overview of customer satisfaction;.•Obtain the advantages and disadvantages of marketing strategies through quantitative analysis;.•Put forward reasonable marketing strategy improvement opinions and suggestions in order to improve customer satisfaction.

论文关键词：Meta-combined approach,Brand marketing,Brand equity,Machine learning,Factor Analysis,Big Data

论文评审过程：Received 24 July 2021, Revised 6 October 2021, Accepted 18 October 2021, Available online 28 October 2021, Version of Record 28 October 2021.

论文官网地址：https://doi.org/10.1016/j.ipm.2021.102800