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Measuring the Effect of Advertising Value and Brand Awareness on Purchase Intention through the Flow Experience Method on Facebook's Social Media Marketing Big Data

机译:通过Facebook社交媒体营销大数据的流动体验方法测量广告价值和品牌知识对购买意向的影响

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The growth of the digital world at this time provides many benefits for all humans, big data obtained from cyberspace for free, and is often used just like that without understanding the meaning contained therein. With a complete understanding of big data, business entities will be able to create value and marketing experience on social media platforms. The rise of social media types with a variety of different features-initiated research to determine the choice of using social media is the most effective for digital marketing. Determining the positioning of a social media seen from its effectiveness component needs to be information for micro-small businesses and start-ups as a decision-maker to determine marketing strategies. The research method used in this research is quantitative research with a causal approach, with a path analysis test tool. The purpose of this study was to determine if advertising value variables and brand awareness variables through flow experience based on data collection on social media can create interest and be able to drive purchasing decisions. The results showed that the advertising value and brand awareness variables were able to create interest and shape the effectiveness of social media by using the interpretation of big data marketing in influencing consumer buying interest both directly and indirectly through the variable flow experience.
机译:目前数字世界的增长为所有人类提供了许多益处,从网络空间获得的大数据,通常就像那样使用,而不理解其中所含的含义。通过完全了解大数据,企业实体将能够在社交媒体平台上创造价值和营销体验。社交媒体类型的兴起具有各种不同的特征 - 发起的研究,以确定使用社交媒体的选择是最有效的数字营销。确定从其有效性组件中看到的社交媒体的定位需要是微小企业和初创公司作为决策者来确定营销策略的信息。本研究中使用的研究方法是具有因果方法的定量研究,路径分析试验工具。本研究的目的是通过基于社交媒体的数据收集的流动体验来确定广告价值变量和品牌意识变量是否可以创造兴趣,并能够推动购买决策。结果表明,广告价值和品牌意识变量能够利用对影响消费者购买兴趣的大数据营销,通过可变流量经验来解释对社会营销的解释来创造兴趣和塑造社交媒体的有效性。

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