Trajectories of developing media behavior and media preferences of consumers of different classes of goods in social networks

E. Kmet
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Abstract

Customers’ behavior in social networks is continually developing. Businesses are tracking the changes in the consumers’ preferences for the categories of their products, which is important for developing the effective promotion. The methods of studying the features of the consumers’ media behavior and media preferences for the different categories of goods in the social networks includes the following elements: relevance, subject, goals, and tasks of the research topic; characteristics of methods and technologies for collecting and analyzing the data; description of each stage of the research process; formulation of hypotheses on the correlation between consumers’ media behavior and media preferences in social networks and their interest in various categories of goods; technology for testing the hypotheses and processing survey results in the Statistical Package for the Social Sciences (SPSS); algorithm for developing proposals for promoting certain categories of goods in social networks. The methods are of interest and applicable for any business focusing on a certain category of goods. The methods were tested on the basis of empirical research in the form of a survey, the results of which allowed developing a set of proposals for promoting the top categories of goods, which are purchased on the Internet most often, in social networks. The set of proposals has been formed by selecting the core (a set of parameters common to the consumers of all goods) and peculiarities (features dominating in the characteristics of consumers’ behavior only for a certain category of goods) of consumers’ media behavior and media preferences in social networks.
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社交网络中不同类别商品消费者媒介行为发展轨迹与媒介偏好
客户在社交网络中的行为是不断发展的。商家正在跟踪消费者对其产品类别偏好的变化,这对于开展有效的促销非常重要。研究消费者在社交网络中对不同类别商品的媒介行为特征和媒介偏好的方法包括以下要素:研究课题的相关性、主题、目标和任务;收集和分析数据的方法和技术的特点;描述研究过程的每个阶段;对消费者媒介行为、社交网络媒介偏好和对各类商品的兴趣之间的相关性提出假设;社会科学统计软件包(SPSS)中检验假设和处理调查结果的技术;算法开发提案促进某些类别的商品在社交网络。这些方法是有趣的,适用于任何专注于某一类商品的企业。这些方法是在实证研究的基础上以调查的形式进行测试的,其结果允许制定一套建议,以促进在社交网络上最常购买的顶级商品类别。通过选择社交网络中消费者媒介行为和媒介偏好的核心(所有商品的消费者共有的一组参数)和特殊性(仅对某一类商品在消费者行为特征中占主导地位的特征),形成了这组建议。
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