Insightful and a great introduction to a very complex topic. Probably would recommend having a grasp of statistical analysis before starting (not required) as it would help understand some of the concepts better.

Course on customer analytics is really good It is really helpful to understand the world of marketing by bearing the lenses of analytics.

thank you for giving me the best knowledge about Customer Analytics.

thank you, Coursera

Interesting Course. I intend to complete my Business Analytics Specialization.

Brilliant Course !! Loved going through all the materials and the lectures !!

Awesome real time study cases related to high technology applications!

Great information gained and very good explanation

Sirve para asentar las bases y como introducción.

Course is super informational.

I really enjoyed this course.

very well course content

This course was great!

Excellent Course

I found this course to provide a very good overview. The content was well presented with an emphasis on using the insights from customer analytics to make the right business decision. The course appears to have been recorded when Facebook had a market value of $75B which would put it around 2015. There have been many technology advancements over the past 8 years especially in the field of AI. It would be very valuable to hear Prof. Eric Bradlow give an update on the cutting edge applications of Customer Analytics Applications in 2023. using technologies such as ChatGPT, Digital Twin, etc.

Good overview of different marketing analytics tools and how they can/should be used to assist in better optimising marketing decisions in the future. However, at c. 10 years old, I feel like a lot of the real world examples are now fairly out dated and wonder if new models & theories have superseded the ones given in the course. Overall it's a decent starting point for someone who might interact with marketing analytics teams or manage them in the future to at least understand the concepts behind and the power of their work.

This was a good overview course on customer analytics. As a non-business student, it was very insightful. However, the professor for Prescriptive Analytics was so boring that it was extremely difficult to get through. I wish that the professors from Week 5 (Application to Analytics) and Week 3 (Predictive Analytics) taught the entire course.

Very Detailed course on Customer Analytics. And it presented quite a few case studies too, to understand the concepts better. But I felt that a hands on experience of applying Customer Analytics to a problem in a step wise fashion would have cemented the knowledge gained by this course.

For beginners, this is far for easy. Be aware.

For anyone who is expecting model buidling anf methodologies, sorry it is not that deep. However, I think it is helpful for someone who try to know the value of customer analtyics from a management and marketing perspective.

A good high level introduction to customer analytics

Good High Level Introductions to several important concepts. I wish the course included more practice examples and models for true hands-on-learning. If you add more practice exercises, and share for instance details on how to include churn in the CLV example, this would make the course more appealing. Also, there should be a way for students to ask weekly questions from instructors or teaching assistants. The forums are pretty much unmoderated. With that said, I learned a number of important marketing and analytics concepts, and am looking forward to applying them in real work.

Interesting course, but outaded. It was created 8 years ago and was not updated since that. It's a shame coursera doesn't allow its' customers to see when the course was created/updated. I would not have bought it would I know from the beginning that it is so old(

At this point, this course feels a little out of date (6+ years old). Given the emphasis on "cutting edge approaches", it's especially noticeable. It'd be great to see Coursera update the content. Would also like to see richer projects built into the content.

I think the course focused too much on the qualitative side of customer analytics. I wish there were more lessons on actually developing concrete, practical skills using Excel or R or other software for customer analytics. The discussions were great all in all, though!

It's all good and wonderful, but this course is outdated. Maybe these models are still valid, but the predictions that the dude made in the Application module (Netflix vs YouTube and Google Free Taxi) turned out to be a flop. It makes me think that these analytical models have much more limitations in the long run than people who teach them want to admit. We are living in 2023 and it seems that we can predict nothing, only make slightly better guesses.

The teaching materials and contents are very outdated.