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Product Analytics: Applied Data Science Techniques for Actionable Consumer Insights (Addison-wesley Data & Analytics)

 
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Product Analytics: Applied Data Science Techniques for Actionable Consumer Insights (Addison-wesley Data & Analytics)

Description

This guide shows how to combine data science with social science to gain unprecedented insight into customer behavior, so you can change it. Joanne Rodrigues-Craig bridges the gap between predictive data science and statistical techniques that reveal why important things happen -- why customers buy more, or why they immediately leave your site -- so you can get more behaviors you want and less you don't.

Drawing on extensive enterprise experience and deep knowledge of demographics and sociology, Rodrigues-Craig shows how to create better theories and metrics, so you can accelerate the process of gaining insight, altering behavior, and earning business value. You'll learn how to:
  • Develop complex, testable theories for understanding individual and social behavior in web products
  • Think like a social scientist and contextualize individual behavior in today's social environments
  • Build more effective metrics and KPIs for any web product or system
  • Conduct more informative and actionable A/B tests
  • Explore causal effects, reflecting a deeper understanding of the differences between correlation and causation
  • Alter user behavior in a complex web product
  • Understand how relevant human behaviors develop, and the prerequisites for changing them
  • Choose the right statistical techniques for common tasks such as multistate and uplift modeling
  • Use advanced statistical techniques to model multidimensional systems
  • Do all of this in R (with sample code available in a separate code manual)
  • Build better theories and metrics, and drive more of the behaviors you want
  • Model, understand, and alter customer behavior to increase revenue and retention
  • Construct better frameworks for examining why your customers do what they do
  • Develop core metrics for user analytics, and conduct more effective A/B tests
  • Master key techniques that most books ignore, including statistical matching and uplift modeling
  • Use R and this book's many R examples to implement these techniques yourself
Use data science and social science to generate real changes in customer behavior
  • Build better theories and metrics, and drive more of the behaviors you want
  • Model, understand, and alter customer behavior to increase revenue and retention
  • Construct better frameworks for examining why your customers do what they do
  • Develop core metrics for user analytics, and conduct more effective A/B tests
  • Master key techniques that most books ignore, including statistical matching and uplift modeling
  • Use R and this book's many R examples to implement these techniques yourself

Product details

EAN/ISBN:
9780135258521
Medium:
Paperback
Number of pages:
448
Publication date:
2020-10-01
Publisher:
Addison-Wesley Professional
EAN/ISBN:
9780135258521
Medium:
Paperback
Number of pages:
448
Publication date:
2020-10-01
Publisher:
Addison-Wesley Professional

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