Data Privacy Concerns and Their Impact on Consumer Trust in Digital Marketing
Date Issued
2025-01
Author(s)
Vijayanarayana, J
Abstract
In today’s hyper-connected, data-driven economy, digital marketing has evolved from a broad, one-size-fits-all approach to a highly personalized, data-intensive practice that can precisely target individuals based on their unique behaviors, interests, and preferences. This shift has been enabled by rapid advancements in data analytics, machine learning, and artificial intelligence (AI), which allow marketers to process vast amounts of personal data to anticipate consumer needs, optimize marketing strategies, and deliver customized content. However, with these advancements comes a complex and often opaque web of data collection, processing, and sharing practices that increasingly expose consumer data to potential misuse, manipulation, and privacy violations.
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2023MMBA01ASB056.pdf
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