Quantitative methods of studying the consumer needs and behavior in the context of modern marketing communications

M. Demchenko
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Abstract

The factors which resulted in not only changes in basic consumers’ requirements to the goods, but also in changes in their preferences and expectations and, moreover, in their value orientations, are determined. Today, the consumer has an opportunity to choose a variety of goods on a shelf, a place of a purchase, a convenient channel of communication and also a way of life. The development of digital technologies has led to a decrease in the dependence and physical commitment of a consumer to a place of work, residence or communication channel. For a successful business marketing strategy, one needs to identify these changes quickly and reliably, analyze them, and, based on the analysis, formulate their marketing strategy, both in terms of assortment policies and in terms of marketing communications. An example of instrumental consumer research conducted by well-known brands of the FMCG segment analyzes the techniques of studying consumers’ behavior and the preferences that they give to one or another product, and the possibility of targeted influence on the adoption of relevant decisions. Problems with the reliability of data obtained by traditional methods of quantitative research are revealed. Since modern methods are extremely simplistic, they often do not take into account the peculiarities of the mentality of the consumers of a particular region, their behavioral and value settings, which determine their answers during surveys. Even with an individual approach to developing a questionnaire that takes into account the characteristics of respondents, there is no guarantee of the reliability of the data. However, management decisions are made and marketing strategies are developed being based on these data. Similar errors, typical for traditional methods of research, make it necessary to look for alternative solutions. Such an alternative would be Big Data, a tool that has already proven itself as an effective technology of sociological research during the presidential campaign of D. Trump in the United States and Brexit in the UK.
在现代营销传播的背景下,研究消费者需求和行为的定量方法
确定了导致消费者对商品的基本要求发生变化的因素,以及消费者的偏好和期望发生变化的因素,进而导致消费者的价值取向发生变化的因素。今天,消费者有机会选择货架上的各种商品,有地方购买,有方便的沟通渠道,也有一种生活方式。数字技术的发展导致消费者对工作场所、住所或通信渠道的依赖和实际承诺减少。对于一个成功的商业营销策略,人们需要快速可靠地识别这些变化,分析它们,并在分析的基础上,制定他们的营销策略,无论是在分类政策方面还是在营销传播方面。一个由快速消费品领域的知名品牌进行的工具消费者研究的例子,分析了研究消费者行为和他们对一种或另一种产品的偏好的技术,以及对采取相关决策的针对性影响的可能性。传统的定量研究方法所获得的数据的可靠性存在问题。由于现代方法极其简单,它们往往没有考虑到特定地区消费者的心理特点,他们的行为和价值设置,这些因素决定了他们在调查中的答案。即使采用考虑到受访者特征的个别方法来编制问卷,也不能保证数据的可靠性。然而,管理决策和营销策略是基于这些数据制定的。传统研究方法中常见的类似错误,使得有必要寻找替代解决方案。这种替代方案就是大数据,在美国特朗普(D. Trump)的总统竞选和英国脱欧期间,大数据已经证明了自己是一种有效的社会学研究技术。
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