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old, I feel like a lot of the real world examples are now fairly out dated and wonder if new models & theories have superseded the ones given in the course.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!

Course Material is too old. Material is already 5-6 years old. Most of the information is becoming obsolete. You need to update the knowledge being delivered as well.

Course is outdated , Assignment are not challenging enough

The examination at the very end of every week must be taken once and you can retake it after 24 hrs, the questions must be different everytime you repaet it, add additional choices like instead of 5 choices make it 10, or use the Choose which all that applies principle. By making it rig free you are giving credibility to the exam and the test takers itself. The reason why on line course are not taken seriously is just because you can rig the result of the exam by keep on repeating taking it and memorizing the choices in the questions. YOU HAVE TO RESTRATEGIZE HOW NOT TO RIG THE EXAM so that it has credibilty and taken seriously.

My sincere thanks to all the instructors who gave an informative rundown on customer analytics. Myself Pamidi Snehitha - 24 years old, i have done my graduation in National Institute of Technology, India in Electrical and Electronics Engineering. I have got a great interest in how business strategies work and optimization of profit. My father is a retired business man to whom i have looked up since my childhood on how he manages a small business , how he maintains good relationship with customers, how he takes feedback from customers constructively. Since then i have had a deep passion on marketing and business development. With that zeal i have enrolled to this Course through financial aid and i am more than delightful after completing this course as my outlook towards Customer analytics is more broadened than ever.  Thanks to Coursera . I thoroughly enjoyed the applications part of this course where many companies have diverse goals and analytical strategies to acquire customer interests where they are both benefiting customers as well as themselves.

A truly interesting course that explains in a very interactive way the concepts of data analysis and targeting it to one of the most prominent categories on the market. It will certainly serve to gain better insights into the functioning of the market and its further shaping.

The concept of consumer can be used in different ways

approaches and therefore the meaning and use of this term can often vary. When economists and marketing experts talk about consumers, they are mostly talking about a person who has his own individuality, because each individual is a distinctive consumer on the market. In today's era, an individual approach to the consumer is increasingly applied, because in free markets, consumers dictate which and what kind of products they want. Consumers have resources, that is, money that they will spend on the product that suits them best according to some criteria, which are most often price and quality. All thanks to the teachers who brought this to us in such an effective way.