Research on the Application Strategies of Precision Marketing and User Engagement in the Big Data-Driven Retail Industry

Ao Liu

Pinnacle Academic Press Proceedings Series, 2026, vol. 11, 248-257

Abstract: With the rapid development of big data technology, the retail industry is facing unprecedented opportunities and challenges in precision marketing and user engagement. In-depth analysis of user behavior, purchase habits, and preferences helps enterprises personalize marketing strategies, thereby effectively improving customer loyalty and sales conversion rates. This paper discusses the precision marketing strategy in the retail industry based on big data analysis, including data collection, data mining, user portrait construction, and precision marketing implementation. It examines how big data facilitates user life-cycle management and enhances user value through engagement, and assesses the practicality and effectiveness of the proposed strategy using case studies. Specifically, the study first establishes a comprehensive theoretical framework that integrates big data analytics with contemporary marketing paradigms, highlighting the critical role of real-time data processing in enabling dynamic customer segmentation. Subsequently, the paper proposes a multi-dimensional user portrait construction methodology that leverages machine learning algorithms to capture granular behavioral patterns across diverse digital touchpoints. The research further explores the application of predictive analytics in optimizing promotional campaigns, inventory management, and personalized recommendation systems within the retail ecosystem. Through detailed case studies of leading retail enterprises, the paper evaluates the measurable impact of data-driven precision marketing on key performance indicators such as customer retention rates, average transaction values, and overall revenue growth. Additionally, the study addresses the ethical considerations and privacy concerns associated with large-scale consumer data utilization, proposing a balanced framework for responsible data governance. This paper puts forward a series of practical suggestions to help retail enterprises achieve sustainable development in the era of big data, contributing valuable insights for both academic researchers and industry practitioners seeking to harness the transformative potential of data-driven marketing strategies.

Keywords: big data; retail industry; precision marketing; user engagement; data analysis (search for similar items in EconPapers)
Date: 2026
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