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Data Analytics for Marketing

You're reading from   Data Analytics for Marketing A practical guide to analyzing marketing data using Python

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Product type Paperback
Published in May 2024
Publisher Packt
ISBN-13 9781803241609
Length 452 pages
Edition 1st Edition
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Author (1):
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Guilherme Diaz-Bérrio Guilherme Diaz-Bérrio
Author Profile Icon Guilherme Diaz-Bérrio
Guilherme Diaz-Bérrio
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Table of Contents (20) Chapters Close

Preface 1. Part 1: Fundamentals of Analytics
2. Chapter 1: What is Marketing Analytics? FREE CHAPTER 3. Chapter 2: Extracting and Exploring Data with Singer and pandas 4. Chapter 3: Design Principles and Presenting Results with Streamlit 5. Chapter 4: Econometrics and Causal Inference with Statsmodels and PyMC 6. Part 2: Planning Ahead
7. Chapter 5: Forecasting with Prophet, ARIMA, and Other Models Using StatsForecast 8. Chapter 6: Anomaly Detection with StatsForecast and PyMC 9. Part 3: Who and What to Target
10. Chapter 7: Customer Insights – Segmentation and RFM 11. Chapter 8: Customer Lifetime Value with PyMC Marketing 12. Chapter 9: Customer Survey Analysis 13. Chapter 10: Conjoint Analysis with pandas and Statsmodels 14. Part 4: Measuring Effectiveness
15. Chapter 11: Multi-Touch Digital Attribution 16. Chapter 12: Media Mix Modeling with PyMC Marketing 17. Chapter 13: Running Experiments with PyMC 18. Index 19. Other Books You May Enjoy

Design Principles and Presenting Results with Streamlit

Design is not just what it looks like and feels like. Design is how it works.

– Steve Jobs

When discussing how to present your results, few things are more ubiquitous than the trusty dashboard. A dashboard is, at its simplest, a screen that attempts to condense key metrics and KPIs in an easy and intuitive way, to allow for easy digestion of numerical information. We call them dashboards because, just like in a car, the key factor is to display only the fundamental and critical information needed by the user. It can provide a home screen for critical information, be it strategic or operational in nature.

In this chapter, we will go over the types of dashboards and their design principles, how to design good metrics and dimensions, and an example of using Streamlit to build a small dashboard. Specifically, we will cover the following topics:

  • Types of dashboards and their design
  • Generating effective...
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