Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

November 11, 2024


Pages


DOI

Article

A study of social media influencer marketing strategy adjustment based on big data analysis

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Authors

Yuan Zhou Affiliation:
School of Control and Engineering, Wuxi Institute of Technology, Wuxi, Jiangsu, China.


Abstract

With the development of the Internet, social media has brought new shopping experiences to consumers, and enterprises have joined the wave of social media marketing, which has led consumers to buy their wishes through social media. This paper analyzes the reconstruction of marketing activities in terms of information dissemination, audience expansion, and community building. According to the behavior of social media users, the key indicators of media marketing include the consumer’s awareness of media marketing, consumer behavior, and how these indicators affect the willingness to buy. The article presents the direction for adjusting the social media influence marketing strategy. Marketers must take into account the comprehensive value of the affected people when selecting the influence. At the same time, the cognitive effect of social media on channel optimization is significantly affected by the elimination of costs, and optimizing channels also benefits marketing effectiveness.


Keywords

Social media, Consumer behavior, Marketing, Strategy optimization, 94A16


Citation

Zhou, Y. (2024). A study of social media influencer marketing strategy adjustment based on big data analysis. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-3159

Published by: Engineering Journals

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