Consumer Preference Analysis and Marketing Strategy in Digital Economy Based on Deep Learning

Authors

  • Dingyan Cai Business School, Zhengzhou College of Finance and Economics, Zhengzhou 450000, China

Abstract

With the rapid development of the digital economy, consumer behavior has become both complex and diverse. The traditional marketing model has difficulty meeting the increasingly personalized needs of modern consumers. How to comprehensively understand consumer preferences and implement accurate and effective marketing strategies has become a problem for enterprises. Through deep learning technology, this study analyzes the changing trend of consumer preferences, explores data-driven personalized marketing strategies, and provides theoretical support and practical guidance for enterprises wishing to develop more efficient marketing programs. The preference characteristics of consumers in the context of digital economy are mined using a method that combines a deeplearning model with big data analysis. Alargeamountofconsumerbehaviordatais collected and analyzed, and a consumer preference prediction model is constructed. Furthermore, the role of technologies, such as digital marketing tools and personalized recommendation systems, in enhancing consumer satisfaction and increasing corporate income is discussed. The research results show that the personalized characteristics of consumer preferences are obvious, and deep learning technology can effectively capture the differences among consumergroups, and improve the effectiveness of marketing strategies through accurate personalized recommendations. Marketing strategies based on consumer preferences have higher conversion rates than traditional methods, and can encourage consumer participation and strengthen brand loyalty. The research also found that the use of technologies in the digital economy plays can improve marketing efficiency and optimizing resource allocation. This study provides a theoretical basis for enterprises wishing to develop personalized marketing strategies, and provides practical guidance for the application of deep learning in digital marketing. As digital technologies continue to advance, future research is expected to optimize models and strategies to help companies gain an edge in the increasingly competitive market.

Keywords: Consumer preference; deep learning; digital economy; personalized marketing; recommendation system

Cite As

D. Cai, "Consumer Preference Analysis and Marketing Strategy in Digital Economy Based on Deep Learning", 
Engineering Intelligent Systems, vol. 33 no. 5, pp. 513-524, 2025.


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Published

2025-09-01

Issue

Vol. 33 No. 5 (2025): International Journal of Engineering Intelligent Systems

Section

Article

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