Optimization of Brand Marketing Strategy of Intelligent Technology under the Background of Artificial Intelligence

营销 数字营销 品牌资产 计算机科学 市场营销策略 市场营销管理 品牌知名度 营销投资回报率 市场调研 产品(数学) 市场营销与人工智能 营销组合 业务 人工智能 智能决策支持系统 数学 几何学
作者
Yishu Liu,Chen Wei-xiong
出处
期刊:Mobile Information Systems [IOS Press]
卷期号:2021: 1-8 被引量:13
标识
DOI:10.1155/2021/9507917
摘要

With the progress of Internet technology and the rapid development of artificial intelligence, intelligent technology products rapidly grow up. However, influenced by many factors, the marketing status of this kind of products in recent years is not ideal, for example, big data leakage and other issues. Especially in recent years, because of the greater market competition, the marketing of intelligent technology brands is facing greater problems. The purpose of this study is to analyze the current situation of brand marketing of intelligent technology under the background of artificial intelligence and propose the optimization strategy of brand marketing of such products, so as to promote the continuous improvement of brand marketing effect of intelligent technology. Based on artificial intelligence and the concept of brand marketing, through intelligent technology brand marketing investigation and experiment, the intelligent technology brand marketing status and current problems are analyzed; from marketing, product type, and product price, three angle analysis of the factors that influence the marketing and Internet marketing, product quality, product pricing, and product development is put forward from the four angles of specific strategy of optimization of smart technology products’ brand marketing. The experimental results show that the year-on-year growth rate of smart technology brand turnover is decreasing at the present stage. The increase rate of the turnover in 2019 is only 3.24%, far lower than that in 2015, and the growth rate of the turnover decreases by about 33%. At present, there are many problems in the marketing strategy of intelligent technology brands, and the optimization of marketing strategy is an urgent problem to be solved.

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