LEVERAGING CONSUMER DATA TO BUILD BRAND LOYALTY IN THE FASHION INDUSTRY

Abstract

In recent years, the fashion industry has increasingly relied on consumer data to enhance marketing effectiveness and strengthen long-term relationships with customers. The rapid expansion of digital channels—such as e-commerce platforms, social media, and mobile applications—has enabled fashion brands to collect and analyze extensive data on consumer preferences, behaviors, and purchasing patterns. This transformation has created new opportunities to build brand loyalty through data-driven personalization and engagement strategies. This study examines how consumer data can be leveraged as a strategic resource to support brand loyalty in the fashion industry. Adopting a survey-based empirical approach complemented by conceptual analysis, the research investigates the mediating roles of personalization and customer engagement in the relationship between consumer data usage and brand loyalty. Data were collected from online fashion consumers and analyzed using descriptive statistics, correlation analysis, and multiple regression techniques. The findings indicate that consumer data usage does not directly determine brand loyalty; rather, its influence is mediated through enhanced personalization, service quality perceptions, and sustained customer engagement. The results further suggest that data-driven marketing practices contribute to trust, satisfaction, and perceived value, which collectively reinforce loyalty in digital fashion markets. The study offers theoretical contributions to data-driven marketing literature and practical insights for fashion brands seeking to implement responsible and effective data-driven loyalty strategies.