This course examines how modern digital marketing integrates technology, creativity, and analytics to shape discovery, competition, and customer experience across digital and physical channels. Through a progression from foundational strategy to content, ecosystem integration, and artificial intelligence, the course explores how brands build trust, deliver value, and drive measurable growth in the contemporary digital marketplace.

Digital Marketing Analytics in Theory

Digital Marketing Analytics in Theory
This course is part of Digital Marketing Specialization

Instructor: Nathan Yang
Access provided by Masterflex LLC, Part of Avantor
141,380 already enrolled
4,822 reviews
Recommended experience
What you'll learn
Understand how digital technologies, data, and consumer behavior jointly shape modern marketing strategy
Learn to design content that is discoverable, shareable, and optimized for both humans and algorithms
Analyze the role of influencers, communities, and creators in building brand authenticity and trust
Examine how artificial intelligence transforms customer experience, personalization, and service delivery
Skills you'll gain
- Generative AI
- Data Collection
- Customer Insights
- Analytics
- Paid media
- Cross-Channel Marketing
- Web Analytics
- Marketing Analytics
- Digital Media Strategy
- Digital Advertising
- Content Marketing
- Data Analysis
- Consumer Behaviour
- Content Creation
- Data Visualization
- Integrated Marketing Communications
- Digital Marketing
- Marketing Effectiveness
- Marketing Strategies
- AI Personalization
Details to know

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Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate

There are 4 modules in this course
This module provides an overview of the course content. It also introduces digital marketing fundamentals, focusing on search, omnichannel strategy, and consumer behavior across digital and physical channels, with an emphasis on trust and cohesive customer experiences.
What's included
10 videos9 readings2 assignments1 discussion prompt1 plugin
Module 2 explains how marketers design content for visibility, virality, and trust across humans, search engines, and generative AI. It highlights the shift from SEO to GEO, the factors that drive content sharing, and the role of authentic brand–customer interactions in building long-term reputation.
What's included
7 videos2 readings1 assignment
Module 3 explains how brands integrate paid, organic, and influencer marketing into a cohesive strategy that builds trust, extends reach, and drives sustained growth through coordinated content and data-driven planning.
What's included
7 videos2 readings1 assignment
Module 4 examines how AI is transforming customer service from reactive support to proactive, personalized experiences, highlighting AI as the service front line and the evolving collaboration between humans and intelligent systems.
What's included
8 videos4 readings1 assignment1 peer review1 plugin
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Build toward a degree
This course is part of the following degree program(s) offered by University of Illinois Urbana-Champaign. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
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Reviewed on Oct 9, 2019
Very interesting. Kevin explains things really well and introduces complex concepts clearly. I learned a lot from the peer review process -- seeing how other students respond to the exercises.
Reviewed on Sep 10, 2015
Have an great overall understanding about Digital marketing, Marketing Geek and useful Digital Analytic tools. With this worth information, I can make my online business plan more effectively
Reviewed on Feb 29, 2016
I really enjoyed this course. I liked the professor's teaching style as well as the materials the course provided. All the knowledge I've got from the course helps me when I do research online.
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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.

