Introduction
Please note that this is a preliminary course description. The final version will be published in June 2026.
The proliferation of digital technologies and the growth of data availability have fundamentally reshaped how organizations engage with consumers. Digital marketing has evolved from a supplementary function to a core component of marketing strategy, enabling organizations to reach broader audiences and focus on more data-driven insights to campaign management.
This evolving landscape presents both opportunities and challenges. While marketers gain access to new tools for personalization, targeting, and engagement, they must also navigate fragmented consumer journeys, heightened privacy concerns, and the complexities of integrating digital tools into coherent strategic frameworks. Strategic decisions concerning channel selection, campaign evaluation, and message personalization are increasingly supported by digital marketing metrics such as click-through rates, conversion rates, and multi-touch attribution models. Thus, while many decisions are based on data-driven strategies to personalize and optimize customer touchpoints, and allocate budgets, marketers need to understand the pitfalls and implications of the various marketing metrics.
This course addresses these dynamics by focusing on key strategic decisions in digital marketing and how to utilize academic insights to support these decisions. It draws on current academic research to examine the digital customer journey, the role of performance metrics, and the integration of emerging technologies—such as influencer marketing, artificial intelligence and big data—into digital marketing practices. Furthermore, the course offers critical reflections on the societal and ethical implications of digital marketing, including issues such as consumer privacy, algorithmic bias, and the responsible use of data.