Product Analytics: Applied Data Science Techniques for Actionable Consumer Insights

Product Analytics: Applied Data Science Techniques for Actionable Consumer Insights
ePUB
  • eBook:
    Product Analytics: Applied Data Science Techniques for Actionable Consumer Insights
  • Author:
    Joanne Rodrigues-Craig
  • Edition:
    1 edition
  • Categories:
  • Data:
    September 10, 2020
  • ISBN:
    0135258529
  • ISBN-13:
    9780135258521
  • Language:
    English
  • Pages:
    360 pages
  • Format:
    ePUB

Book Description
Use Product Analytics to Understand Consumer Behavior and Change It at Scale

Product 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 projection
Whatever your product or service, this guide can help you create precision-targeted marketing campaigns, improve consumer satisfaction and engagement, and grow revenue and profits. 

Content

I: Qualitative Methodology
1. Data in Action: A Model of a Dinner Party
2. Building a Theory of the Social Universe
3. The Coveted Goalpost: How to Change Human Behavior

II: Basic Statistical Methods
4. Distributions in User Analytics
5. Retained? Metric Creation and Interpretation
6. Why Are My Users Leaving? The Ins and Outs of A/B Testing

III: Predictive Methods
7. Modeling the User Space: k-Means and PCA
8. Predicting User Behavior: Regression, Decision Trees, and Support Vector Machines
9. Forecasting Population Changes in Product: Demographic Projections

IV: Causal Inference Methods
10. In Pursuit of the Experiment: Natural Experiments and Difference-in-Difference Modeling
11. In Pursuit of the Experiment, Continued
12. Developing Heuristics in Practice
13. Uplift Modeling

V: Basic, Predictive, and Causal Inference Methods in R
14. Metrics in R
15. A/B Testing, Predictive Modeling, and Population Projection in R
16. Regression Discontinuity, Matching, and Uplift in R

Download Product Analytics: Applied Data Science Techniques for Actionable Consumer Insights PDF or ePUB format free


Free sample


Download in .ePUB format


Add comments
Прокомментировать
Введите код с картинки:*
Кликните на изображение чтобы обновить код, если он неразборчив
Copyright © 2019