Chevron Left
Back to Marketing Analytics

Learner Reviews & Feedback for Marketing Analytics by University of Virginia

4.7
stars
6,416 ratings

About the Course

Organizations large and small are inundated with data about consumer choices. But that wealth of information does not always translate into better decisions. Knowing how to interpret data is the challenge -- and marketers in particular are increasingly expected to use analytics to inform and justify their decisions. Marketing analytics enables marketers to measure, manage and analyze marketing performance to maximize its effectiveness and optimize return on investment (ROI). Beyond the obvious sales and lead generation applications, marketing analytics can offer profound insights into customer preferences and trends, which can be further utilized for future marketing and business decisions. This course, developed at the Darden School of Business at the University of Virginia, gives you the tools to measure brand and customer assets, understand regression analysis, and design experiments as a way to evaluate and optimize marketing campaigns. You'll leave the course with a solid understanding of how to use marketing analytics to predict outcomes and systematically allocate resources. You can follow my posts in Twitter, @rajkumarvenk, and on linkedin: https://www.linkedin.com/in/education-marketing. Thanks, Raj Professor of Business Administration at Darden...

Top reviews

SC

Apr 18, 2020

It was very helpful for my marketing career.The interview with the real world marketing experts at the end of the course also helps and encourages a lot. Thanks to Raj Venkatesan sir for his effort.

RN

Jun 1, 2020

Very helpful and extremely relevant to the present context. As a market research analyst, it deepened my understanding of the many marketing terminologies and jargons and also helped me with my job.

Filter by:

1426 - 1450 of 1,830 Reviews for Marketing Analytics

By AYAN B

•

Aug 27, 2020

NICE

By Manasi V

•

Aug 6, 2020

Good

By shamma a a

•

Jul 21, 2020

than

By Pankaj R

•

Jul 10, 2020

Good

By Suryansh S

•

Jul 3, 2020

nice

By GOURAV C G

•

Jul 2, 2020

good

By Janak D

•

Jun 22, 2020

best

By Akhil J

•

May 24, 2020

Nice

By Ajayraj J

•

May 3, 2020

good

By Samuel T

•

Apr 27, 2020

good

By Bhushan P

•

Apr 21, 2020

good

By Vaibhav M

•

Dec 19, 2019

Good

By Shubham K

•

May 19, 2019

nice

By Xu T

•

Oct 12, 2017

good

By Thanh L T

•

Jun 6, 2017

Good

By Akshaya

•

Jan 7, 2025

D..

By Bastian G

•

Jun 28, 2020

TOP

By Binoy B

•

Jun 7, 2020

Wow

By ABHISHEK K

•

May 28, 2020

Ok

By Mayank M

•

Nov 21, 2017

cd

By Mithun C V

•

Jun 15, 2020

-

By pawan g

•

May 29, 2020

-

By Moses M F

•

Jul 26, 2017

G

By Pratibha J

•

Mar 14, 2019

I am so impressed with this course! Professor Venkatesan explained the marketing concepts analytics tools, which previously were difficult for me to understand, in very simple terms and suing multiple relevant cases. Also I am very happy with how the quizzes are designed because they motivated me to keep trying until I understood the concept. The questions really tested my understanding and I was really grateful for that because I feel I truly learned. The only thing I hope could change, would be the feedback and grading system for the assignments. Understandably as it is an online course, I do not expect the Professor to grade and give feedback on them. However I would still appreciate if I could see any sort of feedback from faculty that would help me judge my performance on the assignment as well.

By ADITYA D

•

Apr 17, 2020

The course served as a good start for me into analytics part of marketing. However, I do believe those were basic stuffs but I am satisfied with the course content, ease, duration and its introductory approach. I am hopeful that this course paves way for analytics enthusiasts to work in the marketing domain. Further, the course could include different levels of difficulty that a learner could select before beginning any assessment or after completing one. The problems that I faced in the assessment were easy to solve but I understand there are learners without a quantitative educational background and therefore, having different difficulty levels could help in addressing larger chunk of learners.