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Learner Reviews & Feedback for Customer Analytics by University of Pennsylvania

4.6
stars
11,660 ratings

About the Course

Data about our browsing and buying patterns are everywhere. From credit card transactions and online shopping carts, to customer loyalty programs and user-generated ratings/reviews, there is a staggering amount of data that can be used to describe our past buying behaviors, predict future ones, and prescribe new ways to influence future purchasing decisions. In this course, four of Wharton’s top marketing professors will provide an overview of key areas of customer analytics: descriptive analytics, predictive analytics, prescriptive analytics, and their application to real-world business practices including Amazon, Google, and Starbucks to name a few. This course provides an overview of the field of analytics so that you can make informed business decisions. It is an introduction to the theory of customer analytics, and is not intended to prepare learners to perform customer analytics. Course Learning Outcomes: After completing the course learners will be able to... Describe the major methods of customer data collection used by companies and understand how this data can inform business decisions Describe the main tools used to predict customer behavior and identify the appropriate uses for each tool Communicate key ideas about customer analytics and how the field informs business decisions Communicate the history of customer analytics and latest best practices at top firms...

Top reviews

ND

Jan 30, 2019

Though I have worked on Customer Analytics with my previous work experiences and also on Surveys etc at George Brown College Canada, this module was more than insightful. Lots of learning to learn eh!

AA

Aug 4, 2020

This course includes a comprehensive overview of the all the basic models that are used to analyze data concerning customer behavior. The real-life examples made it easier to relate to those theories.

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26 - 50 of 2,495 Reviews for Customer Analytics

By Suparno B

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Jul 27, 2019

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

By Ivan K S

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Dec 5, 2022

Awesome real time study cases related to high technology applications!

By Rami M

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Jul 10, 2022

Great information gained and very good explanation

By Matias C M

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Jul 7, 2022

Sirve para asentar las bases y como introducción.

By Vedika G

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Jun 21, 2022

Course is super informational.

By Amanda E

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Jul 6, 2022

I really enjoyed this course.

By asyiffa a

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Jun 15, 2022

very well course content

By Tony G

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Jun 25, 2022

This course was great!

By bhayangkara K

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Dec 6, 2022

Excellent Course

By Kandathil J

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Apr 22, 2023

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.

By Rory W

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Jan 13, 2024

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.

By Ayodele A

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Apr 22, 2023

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.

By Akshay K

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Oct 7, 2018

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.

By E

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Mar 13, 2022

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.

By Jackson L

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May 14, 2022

A good high level introduction to customer analytics

By Sanjay D

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Dec 27, 2021

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.

By Maria E

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Aug 30, 2023

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(

By Pinks S

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Dec 23, 2021

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.

By Emmanuel J A

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Jul 4, 2023

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!

By Usama S

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Feb 18, 2024

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.

By Roger M

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Jul 14, 2023

Course is outdated , Assignment are not challenging enough

By Sarah J

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Mar 4, 2023

I took the Operations Analytics course prior to this one and was ecstatic about doing another in this area. However, I have never thought to myself "just get through it" more than I did during this course. Peter Fader truly did tell the truth in one of his lectures when he said "And really it's not to talk about the tools, per se, this is to kind of give you the language, the framework, the understanding of which kinds of tools, which techniques you're gonna use when. So if you're looking for all the technical stuff, you're in the wrong place." I thought surely they will provide at least formulas or explanations of what these tools were and how to evaluate the customer data that was being provided in the charts again and again. I was wrong. This course was the equivalent of someone handing someone who has never used tools before a tool box, telling them the names of each tool, and then saying "Here. You can build a house with this. How? Well don't ask me. I'm just telling you what the tools are."

I would never recomend this class to anyone who was actually interested in learning about customer analytics. Will have to look elsewhere for an actually useful course.

By Jesus V

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Oct 3, 2020

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.

By Snehitha P

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Jul 11, 2021

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.

By Mirjana 1

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Jan 9, 2023

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.