Product Analytics: Applied Data Science Techniques for Actionable Consumer Insights

by Joanne Rodrigues

Use Product Analytics to Understand Consumer Behavior and Change It at ScaleProduct Analytics is a complete, hands-on guide to generating actionable business insights from customer data. Experienced data scientist and enterprise manager Joanne Rodrigues introduces practical statistical techniques for determining why things happen and how to change what people do at scale. She complements these with powerful social science techniques for creating better theories, designing better metrics, and driving more rapid and sustained behavior change.Writing for entrepreneurs, product managers/marketers, and other business practitioners, Rodrigues teaches through intuitive examples from both web and offline environments. Avoiding math-heavy explanations, she guides you step by step through choosing the right techniques and algorithms for each application, running analyses in R, and getting answers you can trust.    Develop core metrics and effective KPIs for user analytics in any web product Truly understand statistical inference, and the differences between correlation and causation Conduct more effective A/B tests Build intuitive predictive models to capture user behavior in products Use modern, quasi-experimental designs and statistical matching to tease out causal effects from observational data Improve response through uplift modeling and other sophisticated targeting methods Project business costs/subgroup population changes via advanced demographic projectionWhatever your product or service, this guide can help you create precision-targeted marketing campaigns, improve consumer satisfaction and engagement, and grow revenue and profits.Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details. Visit the book actiondatascience.com. Video

Genres: Business, Technology

448 pages, Kindle Edition

Published August 27, 2020

Reviews

[Kalle Bylin · Rating 5 out of 5]

This is not your typical data science book. Joanne Rodrigues-Craig brings insights from different fields and clearly explains how the techniques in this book can be used to generate actionable insights.

The books starts with a framework to better understand user dynamics in web products, avoiding common mistakes in our assumptions. Every technique explained throughout the book fits perfectly into this framework and you can find the code in the last few chapters if you want to try them out personally.

I find the insights gained directly applicable to my job and I'm definitely digging deeper into the topics and techniques for better understanding.

[Hubert V. · Rating 5 out of 5]

Making sense out of massive data for product refinement with simple tools. This is what Joanne Rodrigues' goal is for her book Product Analytics: Applied Data Science Techniques for Actionable Consumer Insights. It does the job well. The subject matter was written for applied practice by non academics. In addition the book is structured for quick referencing. Definition, real world examples and applications are included. This book is worthy to be part of your reference collection.

As you begin your read, note that the writing strives to be concise and understandable. This is one of important aspects of this book. It was written as a reference for techniques and the tools needed for successful product analytics and data analysis. The book even includes an introduction to R and a guided setup.

Another helpful aspect of Rodrigues' book is that sections are structured to cover each topic in depth. If you understand and have a good grasp of A/B testing, skip Chapter 6 and move to Chapter 7 which covers k-Means and PCA.

Last, real world examples emphasizing the techniques and tools are included in this book. Rodriques takes her time to provide explanations and techniques for product analytics. You'll find NBA players' heights used to explain mean, median, and mode. She even shares a behavioral change worksheet for A/B testing.

Succint and easily understandable, this book is an exciting intro for new folks in product analytics and an everlasting reference for long term practitioners.

[Lauren · Rating 5 out of 5]

I just going to finish 2nd chapter of the book but I definitely find this book impressive and extremely helpful. For anyone who are product analyst (especially in app or web), this book is like a bible (in my opinion). Thank you Joanne for this masterpiece. Definitely a must-read for any PA.

[Andrea Kilin · Rating 5 out of 5]

Definitely one of the best curriculum books I've read for my Data Analytics program.

[Adrianna Woltmann]

Not worth wasting time.

[Sophiepedia · Rating 3 out of 5]

Buen inicio de libro pero cuando se necesitó A/B testing perdí el interés.