Analysis of Consumer Behavior in Bigdata Insights

Huangyi Qiu, Yuhang Shan and Runlei Song ()
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Huangyi Qiu: Shanghai Maritime University
Yuhang Shan: Nanjing University of Aeronautics and Astronautics
Runlei Song: Qingdao Agricultural University

A chapter in Proceedings of the 2023 International Conference on Finance, Trade and Business Management (FTBM 2023), 2023, pp 429-438 from Springer

Abstract: Abstract The importance of consumer behavior research in big data analytics is becoming increasingly prominent. By analyzing big data on consumer preferences, changing demands, behavioral patterns, and trends, businesses can make more accurate decisions, optimize product design and marketing strategies, and enhance their market competitiveness. Consumer behavior research aims to explore the behaviors, motivations, and decision-making processes exhibited by consumers in the process of purchasing goods or services, in order to understand and explain the underlying psychological, social, and cultural factors. This research helps uncover the factors and processes involved in consumer decision-making, including need recognition, information search, evaluation, and choice. Understanding consumer decision behavior is crucial for businesses and marketers as it guides them in formulating more effective marketing strategies. Consumer behavior research also provides guidance for marketing strategies. By gaining a deep understanding of consumer psychology and behavior, businesses can better target markets, optimize product design, develop differentiated marketing strategies, establish brand awareness, and provide personalized products and services. Additionally, consumer behavior research helps uncover consumer needs and preferences, providing guidance for product innovation. Consumer behavior research examines the effects of social and cultural factors on consumer behavior, to gain a deeper understanding of the reasons behind consumer behavior and how marketing efforts shape and influence consumer behavior.

Keywords: Consumer Behavior; Consumer Preference; Big Data analysis (search for similar items in EconPapers)
Date: 2023
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DOI: 10.2991/978-94-6463-298-9_47

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