文章基本信息

标题：Mechanism of Big Data Analytics in Consumer Behavior on Online Shopping
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作者：M.Ruby Evangelin ; S.Vasantha
期刊名称：International Journal of Early Childhood Special Education
电子版ISSN：1308-5581
出版年度：2022
卷号：14
期号：3
页码：1938-1942
DOI：10.9756/INT-JECSE/V14I3.226
语种：English
出版社：International Journal of Early Childhood Special Education
摘要：The Internet era has exploded when it comes to online shopping. The shift due to this eruption of online shopping has also been adapted by the user. Big data has stepped into online shopping to further improve the shopping culture of consumers who engage in online shopping, to add to this. Today marketers rely entirely on big data analytics to forecast consumer behavior that can analyze current customer patterns and reach the new customer. Big Data has been a key function for making data-driven decision-making processes in this aspect. Big data helps the marketers to improve the customer assumption on the variety of the products. A deep understanding of these metrics can be established by marketers, thereby correlating them to consumer details. When they know their purchasing habits, matching the outcomes with unique customer user profiles would really be smoother for them, thereby designing targeted marketing strategies. On the other hand the big data analytics will change the promotion strategy according the customer perception which will greatly help the marketers to focus on the customers to make online impulsive buying. This study will explore the influence of big data analytics in understanding consumer behavior who tend to make online shopping.
关键词：Big Data Analytics;Consumer Behaviour;online impulsive buying;online shopping;shopping culture