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Digital marketing has fundamentally transformed how businesses influence consumer behavior by leveraging tools such as social media, search engine optimization, content marketing, email marketing, and data analytics. This paper provides a comprehensive review of how digital marketing strategies manage consumer behavior, focusing on their impact on consumer engagement, decision-making, and brand loyalty. The purpose of the article is to conduct a comprehensive study of the theoretical and methodological foundations of consumer behavior management in the context of the digitalization of marketing activities, to systematize contemporary digital marketing strategies, and to identify the mechanisms through which they influence the processes of forming, transforming, and forecasting consumer needs, motivations, and behavioral patterns. The methodological foundation of this study consists of a set of general scientific and specialized methods, the application of which ensures a systematic and comprehensive approach to the study of consumer behavior management in the context of the digitalization of marketing activities (in particular, methods of analysis and synthesis, induction and deduction, systematization, comparative analysis, etc.). By synthesizing insights from literature and empirical studies, the study identifies and systematizes the key digital marketing tools, their applications, and their influence on consumer behavior across diverse contexts. The analysis highlights the role of personalization, social media engagement, and data-driven decision-making in fostering consumer trust and brand loyalty. It establishes the correspondence between the stages of the consumer decision-making process – awareness, information search, evaluation, purchase, and post-purchase – and the digital marketing tools most effective at each stage. The paper examines the theoretical foundations of consumer behavior management. The paper also discusses challenges such as privacy concerns, information overload, ethical considerations, and the digital divide. The paper proposes a framework for integrating digital marketing tools to optimize consumer behavior management. It suggests future research directions to address emerging trends such as artificial intelligence, blockchain, augmented reality, and virtual reality in marketing. The results provide a scientific and methodological basis for refining digital marketing strategies in a dynamic digital environment.
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Луо Хао (2026) studied this question.
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