Preface

Digital marketing changes quickly, but the foundations endure. Students need to understand attention, persuasion, segmentation, trust, search intent, media economics, measurement uncertainty, privacy, and organisational constraints. A student who learns only to operate a single advertising platform remains exposed when platforms change. A student who understands the logic of digital marketing can adapt.

This textbook is built around three commitments:

  1. Theory before tool operation. Tools serve to make concepts visible and testable.
  2. Open practice. Students can learn with self-hostable or free-access systems where possible.
  3. Responsible AI integration. AI is used for ideation, critique, drafting, simulation, coding support, and workflow acceleration, with the requirement that campaign claims remain evidence-based and accountable.

The programme outline used to structure this book covers 17 weeks: 15 teaching weeks, one revision week, and a final exam. Each teaching week combines lecture concepts, guided practice, self-learning, and an evidence artefact.

What Makes This Book Different

Many textbooks describe digital marketing strategy but leave practical work to commercial dashboards. Many platform certifications teach interface operation with limited theoretical grounding, restricting students to a single context when platforms change. This book connects both sides. Students learn concepts, produce artefacts, and practise with open-source or self-hostable software where possible.