The Profit Hypothesis: Uncover Willingness-To-Pay Innovate Strategy and Grow Profits

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The Profit Hypothesis: Uncover Willingness-To-Pay Innovate Strategy and Grow Profits Customer Reviews

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• 5.0 out of 5 stars from Matt Hilburn, marketing research statistician -- I almost finished this in one sitting...I couldn't put it down. : Jake Lee is one of the foremost experts in data science--particularly in the areas of choice models and conjoint analysis. Lee takes an incredibly complex and difficult topic and makes it approachable through an appeal to history and examples from everyday life. You cannot consider your choice model education complete until this book sits on your bookshelf. ( Reviewed in the United States on October 21, 2021 )
• 5.0 out of 5 stars from Adam Rothschild, former head of research at American Express and CMO at Blue Owl AI Software. -- Fun to read book on choice modeling: I bet you have never heard anyone make that statement before. : Jake Lee demystifies customer choice experiments and conjoint analysis with the help of great examples and magnificent story telling. Jake Lee is an unquestioned data scientist expert. His additional consulting prowess and business acumen are evident as he guides the reader demonstrating the power of well executed market research. Well worth the read! ( Reviewed in the United States on October 15, 2021 )
• 5.0 out of 5 stars from Em -- Brilliant : What a brilliant author. ( Reviewed in the United States on October 26, 2021 )
• 5.0 out of 5 stars from McKensey Andersen Shaw -- Wonderful! : I loved the stories that preface the content. Makes for an enjoyable and informational read. ( Reviewed in the United States on October 26, 2021 )
• 5.0 out of 5 stars from Rusty Rogers -- Enlightening : Informative read into the mind of the consumer and the decision making process. Excellent insight for the marketer. ( Reviewed in the United States on October 30, 2021 )
• 5.0 out of 5 stars from J. Compton -- Make learning fun : I’ll preface by saying I am not a data scientist, but found the presentation of key points in understanding choice valuable for other applications. In fact the author commonly references astronomy to provide an analogy for data driven decisions. It makes learning the content much more interesting and encourages broader application of the underlying principles. Favorite quote “If you don’t know the circumstances leading to when something works or when it won’t, you can’t anticipate or avoid embarrassing disasters” isn’t that the truth. If you are on the fence give it a try, you will likely learn something. ( Reviewed in the United States on November 3, 2021 )
• 5.0 out of 5 stars from Remo -- Well written : I really appreciated the conversational tone and personal examples used by the author, making a niche subject accessible to everyone interested. ( Reviewed in the United States on October 23, 2021 )

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