The Evidence-Based Digital Marketer

Digital Campaign Strategy, Open Marketing Analytics, and Responsible AI for the Modern Marketing Professional

Author
Affiliation

Mohammed Ali Sharafuddin

Qasim Ibrahim School of Business, Villa College, Maldives

Published

4 July 2026

The Evidence-Based Digital Marketer

Digital Campaign Strategy · Open Marketing Analytics · Responsible AI for the Modern Marketing Professional

Mohammed Ali Sharafuddin Qasim Ibrahim School of Business · Villa College · Maldives

DMS505 15 Weeks 150 Hours Blended Learning

This textbook teaches digital marketing as a disciplined evidence-to-decision system: understand your audience, set measurable objectives, design persuasive content, choose channels deliberately, measure what matters, automate responsibly, and use AI without surrendering your judgement. Every chapter provides open-source or free-access practice routes so the full module is accessible without commercial ad accounts, paid analytics suites, or proprietary automation tools.

Learning Outcomes

By the end of this module, you will be able to:

1 Recommend a strategic response based on research and analysis of a digital marketing scenario.

2 Explain digital marketing communication techniques and concepts.

3 Apply psychological concepts and communication theory to changing marketing contexts.

4 Develop a persuasive digital marketing communication campaign.

5 Propose a well-structured campaign using appropriate visual materials.

6 Use academic evidence selectively and critically to justify the campaign proposal.

Module Architecture

Weeks 1–2 · Foundations and Planning

Digital population · audience signals · evidence framework · campaign planning · channel strategy · KPIs

Weeks 3–5 · Persuasive Content and Media

Visual persuasion · messaging and wording · display advertising · YouTube

Weeks 6–8 · Acquisition Channels

SEO · paid search · social media advertising

Weeks 9–12 · Relationships, Influence, and Measurement

Email marketing · mobile · influencer networks · analytics · CRM and automation

Weeks 13–15 · Governance, AI, and Integration

Privacy and policy · AI-assisted media planning · integration and revision

Practical Toolkit

Open-source stack · responsible AI playbook · assessment handbook · glossary · campaign casebook

How to Use This Book

Read the weekly chapter before your session, then use the tutorial to build the week’s artefact from documented evidence. The six-hour self-directed study block gives you time to deepen your research, refine your artefact, complete the formative quiz, and submit. Across 15 weeks, these artefacts accumulate into a complete campaign workbook: personas, positioning canvases, channel strategies, creative variants, analytics events, automation maps, and a final integrated recommendation.

Use AI after drafting from your own evidence, and record every AI interaction in your prompt log.