Analysis of social media indicators as a basis for scientific research in creating marketing strategies

Abstract

In today's digital environment, social media have become a key tool for marketing communications, which requires a systematic analysis of their effectiveness to make informed strategic decisions. The purpose of the article is to comprehensively study the role of social media in marketing activities, identify key performance indicators and develop approaches to optimizing customer interaction strategies.

The relevance of the study is due to the transformation of communication models and the growing role of digital platforms in shaping consumer experience, which requires the development of adaptive approaches to assessing the effectiveness of marketing activities.

The methodological basis of the study is an integrated approach that combines quantitative and qualitative methods of analyzing social media data. Statistical analysis methods are used to evaluate the coverage, engagement and conversion rates, as well as semantic analysis methods to study the qualitative characteristics of user interaction with content. Comparative analysis is used to identify patterns in consumer behavior and evaluate the effectiveness of various marketing tactics.

The study identified key performance indicators for social media marketing, including reach, engagement, conversion, and loyalty. The relationship between different types of content and audience behavioral reactions is established, which allows optimizing content strategies. The factors that influence the effectiveness of marketing communications in social networks are identified and approaches to adapting strategies in accordance with changes in the platform's algorithms are proposed.

The practical value of the study lies in the development of recommendations for the implementation of analytical tools to optimize marketing activities in social networks. The proposed approaches allow to increase the efficiency of interaction with the audience, improve conversion rates and ensure long-term customer loyalty. The integration of modern analytics technologies creates a basis for making informed marketing decisions and adapting to dynamic changes in the digital environment.