Harness the full power of the behavioral data in your company by learning tools specifically designed for behavioral data analysis. Common data science algorithms and predictive analytics tools treat customer behavioral data, such as clicks on a website or purchases in a supermarket, the same as any other data. Instead, this practical guide introduces powerful methods specifically tailored for behavioral data analysis. Advanced experimental design helps you get the most out of your A/B tests, while causal diagrams allow you to tease out the causes of behaviors even when you can't run experiments. Written in an accessible style for data scientists, business analysts, and behavioral scientists, this practical book provides complete examples and exercises in R and Python to help you gain more insight from your data--immediately. Understand the specifics of behavioral data - Explore the differences between measurement and prediction - Learn how to clean and prepare behavioral data - Design and analyze experiments to drive optimal business decisions - Use behavioral data to understand and measure cause and effect - Segment customers in a transparent and insightful way "Whereas some data science books seek to teach their readers a list of new techniques, Florent's goal is different and more profound. He seeks to teach us data-centric wisdom: how to build a detailed and nuanced understanding of the data footprints of human behavior." Steve Wendel, Head of Behavioral Science, Morningstar "Behavioral Data Analysis will help you make sense of data even when you can't run controlled experiments." Colin McFarland, Dir. of Experimentation Platform, Netflix "We are awash with data and this is a long-needed resource to guide practitioners in using that data for building valid causal models to predict and explain real-world behaviors." David Lewis, President, BEworks Research Institute at BEworks "For anyone looking to apply behavioral science to guide business decision making, this book provides a valuable in-depth introduction on how to leverage causal diagrams in experimentation and behavioral analysis." Matt Wright, Dir. of Behavioral Science, WiderFunnel "Part of what makes behavioral science work is seamlessly blending quantitative and qualitative insights to support our understanding of why people do what they do. This book can help anyone with some basic data skills to meaningfully participate in that behavioral science process." Matt Wallaert, Head of Behavioral Science at frog, Author of Start at the End: How to Build Products That Create Change Florent Buisson is a behavioral economist with 10 years of experience in business, analytics, and behavioral science. He most recently started and led for four years the behavioral science team of Allstate Insurance Company. Florent has published academic articles in journals such as the peer-reviewed Journal of Real Estate Research. He holds a Master’s degree in econometrics as well as a Ph.D. in behavioral economics from the Sorbonne University in Paris.