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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

Modern challenges in the world of privacy-centric marketing

Marketers and marketing analysts have had the chance to swim in a world of data in the last 20 years. In fact, that was one of the main drivers of the spread of marketing analytics in the field, especially in the area of digital marketing, which accounts for almost two thirds of all marketing spending worldwide. However new trends in the attitude toward privacy and tracking online are making it harder for us, as analysts, to quickly derive insights from available data.

As we can see from Figure 1.4, for years the trend was clear. The largest proportion of marketing budgets went to online and digital marketing:

Figure 1.4 – Evolution of digital marketing spend as a percentage of global marketing spend

Figure 1.4 – Evolution of digital marketing spend as a percentage of global marketing spend

At our disposal, we had highly granular and vast datasets on our users, encompassing their behaviors, which ads they saw, when they saw them, and how they reacted to them. Clickstream data...

You have been reading a chapter from
Data Analytics for Marketing
Published in: May 2024
Publisher: Packt
ISBN-13: 9781803241609
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