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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 FREE CHAPTER
2. Chapter 1: What is Marketing Analytics? 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

Heuristic attribution models

Heuristic attribution models are based on rules of thumb. They are easy to implement and understand but are not data-driven. The rules are simple, such as, “Let’s give full credit to the last ad the user saw,” and not being data-driven means that regardless of the user journey, we always apply the same rule or heuristic to give credit to a channel for a conversion. In Figure 11.2, you can see a summary of the different heuristic attribution models, where credit refers to what channel we give value for the conversion, and to what degree:

Figure 11.2 – Different heuristic attribution models

Figure 11.2 – Different heuristic attribution models

Let’s have a look at each one of them:

  • Last touch attribution: In this model, full credit is given to the last touchpoint in the customer journey. This model will maximize efficiency and ROI for Bottom of Funnel (BoFu) channels, such as a paid search. If the focus of the marketing team is conversion...
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