I work in customer analytics, so I was skeptical about being able to learn much from this course. There's a lot of buzzwords in this space, and it can get mind-numbing to listen to. There's a little of that in this course, but I was pleasantly surprised. This course is worth it for it for the exposure to the BTYD model alone, which is simple and compelling. This is the shortest course in the series at 4 hours of video time.

I recommend this course to other data scientists and analysts. Even if you have a good grasp of the statistics and the models used for prediction, I think this is course helps to step back and get some perspective on the bigger picture of the overall usefulness to the organization.

The information and professors were very helpful and eye-opening. It will definitely help with my job and even my life because I will think differently now about marketing, stores and ads.

The only negatives I have is the quizzes need to me more related to the lecture information. I feel as if some of the questions in the quizzes come out of nowhere with little to no explanation and you just have to guess correctly. Please base the quiz questions on the material, not necessarily word for word questions but things that are at least related to the new terms and models and calculations which the lectures teach about. Otherwise the course was good. No complaints except for the quiz questions.

I enjoyed all the classes on Predictive, Prescriptive and Descriptive analytics. Professors Fader and Bradlow's classes stood out for me though. I watched the videos, sometimes, twice and read their papers. Currently, I am trying to apply Prof. Fader's clumpiness metric to the analysis I am currently doing, and so far, I am seeing some positive results. Prof. Bradlow's examples all felt so real, and gave a broad insight into how many of these companies utilize business anlaytics. I'm still reading their papers, as well.

Props to Prof. Iyengar and his donor example- Helping me out at work. Props to Prof. Berman, as well, with his presciptive analytics lessons.

It spells out clearly that this course will not delve into the technical side of analytics (it would have been a 5 star course for me had a few of those portions been included) but I must say I decided to stick with the course and I found the discussions of the professors very enlightening . I can be quietly confident as a manager in the future or even talk about the managerial and actionable side of analytics right now to some extent...looking forward to explore. What really matters is the action you take with the insight and not just the fancy stuff we technical guys do with the data...Both components are equally important!!!

Nice general overview of new marketing tools and focus, and related basic concepts. Some improvement can be made with regard to Week 3 material, as subtitles, more practical examples, and a succint explanation about technical method (attached paper can be a little arid for laymen in the field of statistics, I guess), and summarize some key issues to be taken into account in a more extended way at the end of this module. This one was my second course with professor Fader and I enjoyed his enthusiasm a lot, as always. Professor Bradlow review was superb, very clear and from a practical point of view. Thanks Wharton, once again!!

I really enjoyed this course and I'm glad I took it. My favorite part was, of course, Week 5 with its examples of practical application of this information, where I went like "Oh wow, that's true" every two minutes. On the other weeks, however, I sometimes felt a bit out of my element, given Customer Analytics has nothing to do with my primary major nor do I have any real experience doing it, so when the lecturers said things like "I won't focus on this, I'll just give you a quick example..." it was a bit frustrating since I felt like I was missing out on things that customer analytics professionals would understand.

Course is very useful, lots of key insights and knowledge shared by professors. The concepts are easy to understand. The models (the calculations behind) are a bit difficult to understand. I wish those were explained in one of the videos (instead of them being in reference/reading materials). Also, one or two practical examples (companies, businesses) showing end to end analytics (descriptive, predictive and prescriptive) as to the findings and actions from each would have made it even better. In any case, overall, highly recommended for those interested in understanding customer centricity analytics.

The questions have not be revised for correctness. Professor. Fader's quiz questions were hard to understand especially when negative connotations were used in the sentence 'not a beta....' OR ' not favor a probability....' . These questions threw me off so please rectify the quizzes here and in the future quizzes for my time & benefit as well as for the rest of the students. You do not have to make the questions easy but I do not want to spend time thinking of your underlying meaning but would rather put thought in solving for something other than English. Please have these quizzes re-read.

It is a great course and even though I have a decent amount of knowledge in marketing, I was still able to learn new concepts and new ways of applying the concepts in order to gain more customers.

The course could be even better if there were small practice quizzes after each video as it will help to reinforce the concepts in the minds of the students and also I personally believe that the course should be slightly rearranged and restructured in such a way that there should be at least one case study video related to the main subject matter for each of the first 4 weeks.

I think at the end of Week 5, Prof Bradlow gave very interesting insights on the past & future methods of marketing analytics. Great explanation and inspired me to learn more about the technicalities of customer analytics. This course is a great beginner course because most of the modules only gave introduction on all the types and steps of customer analytics (like general explanation on descriptive, predictive & prescriptive analytics). I was hoping it would get a bit more technical into the data but I still gained few important insights regardless. Thank you.

The course is well structured. In order to grasp things better, learners should note down the important points so that you can refer it in the future. Quizzes in-between each module are sometimes confusing, but there is always a chance to improve your scores, that is the best part. Some lecture videos are lengthy, which sometimes leads to boredom. I suggest learners to take small breaks in-between lectures and then go ahead with the rest of the part. Thanking you Coursera for empowering students to learn new skills with the help of your non-credit courses.

The course is very informative, concise, and most of the teachers are truly passionate about what they are talking about. The examples are amazing and very good depictions of the reality. It is also interesting that these examples are broad and cover different markets.

However, it would be great if the level of english of some of the teachers would be more understandable to International students. Most importantly, it would be great if some of the quizzes were reviewed by Native English speakers. Some questions have to be inferred and not understood.

Great content with both the marketing theory aspects and the practical mathematical computations. The quizzes were challenging at an intermediate level, and really made us think about the hows and whys of the topics covered in the videos. The professors are all very enthusiastic (esp. Prof Fader) about the topic and this makes the videos extremely engaging. Only downside was that it would have been nice to have the data used for the customer RFM and other calculations, for our own tinkering and learning process. Overall, excellent course.

Customer Analytics is eye openning, this course changed the perspective I had on the business I'm in charge of, at this moment I'm not aware of hoy my customers behave over time, how many of them have churned or wich of them will likely keep using my service, I had no focus at all of my customer behavior.

I gave 4 out of 5 because the course gives you a general prespective, it would be great if you could get some kind of homework to apply these lessons to real life. I'll try to make the excercises with my costumer data base.

Extremely interesting topic. Some of the course material needs in my opinion some rework, in particular the Predictive Analytics week. Additional teaching or reading material would help better understand the nuances / deeper insights of the topic and be better prepared for the Quiz.

I'm NOT saying the quiz should be easier, far from that, I'm just saying more material is needed to better grasp the different topics and be more successful in the quiz as it is today.

Amazing topic and Faculty! Keep it up!

A great course for an introduction to the world of Analytics. It is a very well drafted course which hits the right balance between a little more than just introduction, and in-depth knowledge of the subject. If you are new to this field and want to explore it, this course is perfect for you. It gives an interesting insight to the heights of usage of analytics in the world around us. By the end of the course, you will be able to answer yourself the question that should you be pursuing this field.

Basic course on how to get a basic knowledge and literacy on the subject. I would have liked more real-life oriented questions - the chapter about customer centricity (Fader) is more about theoretical accomplishments and publications by the course professors, with lots of theory in it more than "how do I get to solve important corporate day to day business problems with this kind of knowledge"?. But it's every university-level course flaw, I guess.

Letting this alone, great course.

Lecturers apparently have huge knowledge which is appreciated. However, I wish there is more knowledge in the materials/videos (for now, I think we just touch the subject without diving into the details). In addition, some of the exam questions were not covered in the materials (in my belief). However, this may be an advantage, that made me browse internet for more information which probably impact my learning process positively!

Anyway, I found this course as a good one!

Thanks!

I feel so awesome after going through this course! Its really informative but I really wished there was more to do and learn while elaborating concepts , more deeper. I understand its not possible to do so for online courses, but I really want to dig down more on this and it has definitely opened new doors for my thinking towards customers & monetising business! Thanks a ton to all the lovely instructors without whom this concept would never have dawned on me!

I found this a useful overview of the topic, but hoped for a bit more opportunity to apply the knowledge on a practical level. I also found the wording of questions in the quizzes quite confusing at times. On passing a quiz, I think it would be helpful if there was some kind of explanation sheet that went through why the correct answer was the one it was, as at times I couldn't work out how the "correct" answers related back to what was taught in the videos.

Overall it's ok. I liked the third week of the course the most, Fader teachs about the use of cases and models in detail. However, I'm not satisfied with the fourth week of the course, the teacher omitted some key calculation process, and his market structure part is confusing. Also, there are many examples in the fifth week, but no in-depth description of how to achieve it, what relative models are there, and there are no reading materials.

The course was amazing. Wide variety of topics were covered and were explained by highly knowledgeable professors as well. 4 stars rating because the prescriptive analytics professor could have been more brief about what he is teaching. Also the different accent was acting as a barrier to process information, I believe he is a man with great knowledge. But slightly difficult to understand. Thanks alot for this wonderful course.

En mi caso no tuve problemas con el idioma pero los subtítulos en español tienden un poco a confundirte, ya que hay métricas y conceptos cuyo origen es, netamente, en inglés. Si conoces un poco de inglés será más que suficiente. Por otro lado, los temas muy buenos. Tienen que tener en cuenta que es un curso enfocado en la aplicación del customer analytics para la toma de decisiones de negocio; para nada operativo.

This course was helpful in understanding the subject matter as a beginner. However, I do hope that Coursera will work towards ensuring that the assessment tests provide some kind of feedback for all responses since that should also be part of the learning experience.

I think you will find this course to be of greater value add if you are a student of marketing, business study or a sales/marketing professional.

Overall the material is solid. You need to have some marketing/analytical knowledge, otherwise some terminology or concept can be a little challenging to gasp at times. In my opinion, week 3 and week 4 were the most challenging in terms of depth of material and wording of the quiz questions. Week 5 was really interesting because there were many great examples that most of us can relate on a day-to-day basis.