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Learner Reviews & Feedback for Digital Marketing Analytics in Theory by University of Illinois Urbana-Champaign

4.5
stars
4,819 ratings

About the Course

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. Module 1 introduces the foundations of modern digital marketing strategy (i.e., how digitization reshapes discovery, competition, and consumer experience across online and physical channels). Module 2 builds on this foundation by exploring how content is designed for multi-audience environments where people, algorithms, and generative AI all ā€œreadā€ and respond to information differently. Module 3 examines the integration of paid, organic, and influencer activities into unified ecosystems that turn storytelling and trust into measurable growth. Module 4 concludes by showing how artificial intelligence transforms service delivery, where data, empathy, and automation combine to create more personalized and anticipatory customer experiences. Together, these modules chart how technology, creativity, and analytics converge to define success in the modern digital marketplace. This course is part of Gies College of Business’ suite of online programs, including the iMBA and iMSM. Learn more about admission into these programs and explore how your Coursera work can be leveraged if accepted into a degree program at https://degrees.giesbusiness.illinois.edu/idegrees/....

Top reviews

OA

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.

BM

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.

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226 - 250 of 1,165 Reviews for Digital Marketing Analytics in Theory

By Ashraful I S

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Aug 6, 2020

This was an amazing course. The information given here are very useful. Marketers must know these things before launching any product.

By priya r

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Apr 4, 2018

Great course.. gave me a good insight to the consumer desicion journey and various how data can be used by different digital channels.

By Brian O

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Jan 8, 2016

Great course, Ari was very helpful and reaches out regularly. Also arranged meetups on his own travel time, on one of which I met him.

By silvia b

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Mar 8, 2022

Is excellent to learn about the digital technologies adoptated to markerting.

Now I have a big picture now, in how digital tools work

By Ben K

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Apr 21, 2020

excellent class, the instructor didnt use any script, he just spoke so eloquently. it was a wonderful experience taking this class!

By Amanda F L

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May 25, 2019

I really loved this course. The professor is really good and brought a lot of good discussions, concepts, frameworks and readings.

By Amin k

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Dec 1, 2017

It's a great course !

It gives you new ideas about marketing analytic and it helps you to deepen your thought on Digital marketing.

By William V

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May 12, 2020

A good course that provides the framework that every digital marketer should implement to provide detailed and relevant analysis.

By Pradeep K

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Feb 14, 2019

Amazing Content and great explanation by mr. kevin hartmen. enjoyed thoroughly and learn great stuff. Thanks so much Coursera :)

By SOL K

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Feb 14, 2022

Thanks to teaching real adaptable knowledge !

As Pf' also has job of Google. Corp. , there are helpful High technology commons.

By Deleted A

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Sep 11, 2015

very useful. it connected me to the reality of digital marketing. I thought it would be boring, but it's definitly not the case.

By Doyoung K

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Nov 25, 2021

Great course and very well presented, also covered current topics in depth with many real world examples. Thanks Prof. Hartman.

By GOPAL S P

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Jul 1, 2020

Over all very good inforative and usefl course .. i would like suggest to people pls join ths course and become professional .

By Andres P

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Jun 29, 2018

Everything that you need to know about Web Analytics, data-driven and dataviz is incorporated in this course! Read and enjoy.

By Nelash V

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Jun 17, 2016

This Course is really awesome for beginners/ professionals......especially on the content/video/study references mentioned.

By Rasyida S P

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Sep 15, 2020

The course covers the fundamental concepts of digital analytics that digital marketing professionals need to be aware of.

By Maria P M A

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Jul 1, 2020

Great Course. I recommend to take this one with the next one of the specialization to see all these concepts in practice.

By Alfonso C

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Dec 26, 2017

Really great introduction into online consumer behavior and general strategies for working with the data produced from it

By Daniel M P

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Oct 31, 2019

great course. Gave me the foundational and theoretical grounding to understand the analytics aspect of Digital marketing

By Alejandro M

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Feb 6, 2017

It's a really good and interesting course, but is a little bit complicated if you are not familiarized with this topics.

By Sausthabha B

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Sep 24, 2018

I have learnt a lot from this course. I will continue the course. Thanks for the beautiful way to make people literate.

By Mohammed N T S

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Apr 13, 2021

A great learning experience with wonderful learning materials and concepts nicely and well explained by the faculties.

By Wendy J

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Aug 7, 2019

I like the the pace and the format of this course! The course material is very valuable, I learn a lot! Great overall!

By Luis M

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Mar 28, 2018

Excelente Curso, muchas gracias por esta grandiosa oportunidad. Dios mediante me brindara una oportunidad de progreso.

By Leonardo V

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Feb 25, 2016

This first kevin Hartman's course shares powerful and compelling and inspiring notions to understand the world of data