Chevron Left
Back to Customer Analytics

Learner Reviews & Feedback for Customer Analytics by University of Pennsylvania

4.6
stars
10,524 ratings
2,303 reviews

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

MA
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.

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!

Filter by:

2176 - 2200 of 2,252 Reviews for Customer Analytics

By Greta B

Nov 15, 2020

The information is topical. Nothing goes too in depth and you must do your own research outside of the course. The information is dated, but still relevant. The transcript/cc is transcribed incredibly poorly. This course requires an update and a proofreader. There are insights that are useful and helps you get a general sense of customer analytics. But from 3 or so years ago.

By Micah R

Oct 30, 2015

Material is too introductory, barely skims the surface. It fails to dive into fundamental concepts beyond mere definitions, and the accompanying examples get bogged down in irrelevant details. The last section dealing with Application with Prof Bradlow is the only one that had some value, presenting a broad array of topics in an organized, simplified yet well-rounded manner.

By Lukas F

May 19, 2017

This course gives you an overview of customer analytics on a very basic level, however, sometimes too basic, even on a highschool niveau. For a paid service I expect the text to be tipo-free and the questions unambiguous. Some of the answers only consider the information just given in the video but not the big picture, therefore, they simply wrong.

By Avazeh G

May 12, 2020

The course is more than 4 years old! One week out of 4 was really badly presented, the quize is irrelevant to the material presented in that week. Perhaps it is expected from a marketing professor to over-promise and under deliver but I'm disappointed. The other 3 weeks were quit good to build a foundation but still the course is out of date

By Kartik K

Jun 17, 2020

Takeaways:

The course structure is undoubtedly good. The given pattern is appropriate, and easy to follow.

Some audio issues persist in a couple videos. There is no feedback provided. One won't be able to check, "assess" and recheck his/ her performance in any, any of the quizzes.

Regards.

By JUAN R

Aug 16, 2020

This course is purely based on videos with very general concepts. There are no excersices at all or practice problems so that concepts can actually be applied. Quizzes ask for questions that are not properly explained or related to the material. I don't recommend this course.

By Stefano

May 23, 2016

For the price paid I would expect something more... It gives you an idea and show you examples. Good background course in order to show your interest in the subject. It could have been organized in a different way in order to make tinteractive and

By Varun R

Feb 17, 2017

Some really good weeks (Predictive Analytics and Case Studies) and some really bad weeks (Descriptive Analytics - surveys is not Descriptive Analytics and Prescriptive Analytics - which talks of marginal economics more than Analytics)

By Benjamin B

Nov 5, 2015

This course doesn't go enough in detail concerning the different customer analytics methods. The last part on applications focuses too much on what was going on in marketing in the past and doesn't address digital marketing enough.

By Zivile M

Jan 29, 2016

The scope of the course is extremely limited. One could sit down and watch all 5 weeks' worth of lectures in one go. I would expect a lot more depth from something that is called a course. This is one good lecture at best.

By Mike M

Jun 19, 2020

The mode of assessments very often did not tally with the delivered content. Some of it was very long with a lot of points that were not even used in the assessments but instead aspects not well addressed used.

By Grant I

May 1, 2017

The course provided some useful insights into methods of statistically measuring customer value, however, they only provide you with the spreadsheets to input data without really ensuring you understand the und

By Shayon S

Aug 12, 2020

Not very engaging, spoke a lot about companies that provide data collection and analysis vs the actual process and real-world examples of how someone can use it in a business setting. Boring delivery also

By Eva M

Mar 4, 2020

The level of questions on the quizzes week 3-5 does not match the level of the lectures and the "reading material" are just slides. Please provide additional reading materials, the videos are not enough.

By Kayundria H W

Dec 4, 2015

The quiz questions are confusing and ambiguous.

The lectures are dry and static. Some video backgrounds are distracting (people traversing hallways and stairs).

Uninspiring to engage. Dated production.

By Dmitry D

Jul 22, 2020

very topline and maybe too generic if you are looking for some practical and hands-on course on analytics. Customer analytics approach concept is fine, but nothing new and not really actionable.

By Matt S

May 25, 2016

It's not that it's bad – the sections with Peter Fader are interesting and the supplementary reading is interesting – but the level is very introductory and the content is uneven in quality.

By Adrienne A

Nov 12, 2016

Week 5 with Professor Bradlow is fantastic! More real-world examples and sample data sets to actually experiment with the concepts covered in this class would be welcome enhancements.

By Perry P

Oct 10, 2015

Its honestly just a primer i learned no statistical modelling or how to program or how to obtain such data (data mine?).

I guess for a primer its good but application wise is meh

By James S

Nov 1, 2015

Although the content was very interesting and the basic concepts were good to know, the student doesn't ultimately gain any tools that they use upon exit of the course.

By Robert

Sep 3, 2018

Experienced it as 1, a lots of quantitative statistics, 2, focused on B2C. None of these really apply to either me nor the company, so most contents will not apply.

By Katelyn J

Oct 9, 2015

Interesting assortment of professors but very little interaction in the course. Just 4 quizzes. Not very helpful for building a deep understanding of the material.

By Kaela W

Nov 12, 2015

Gave theoretical information but no practical, applicable information to use and help me do my job better. Quizzes didn't match information covered in videos.

By Anil K

Jan 13, 2016

I found this course to be very theoretical. Could have used some customer analytical examples to segment customers and any other similar applications.

By Pedro M

Jun 18, 2016

Great course, great content, I really like this course. But if English is not your first language, the exams are crafty enough to be in trouble...