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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

Customer loyalty and NPS methodology

Currently, the most commonly known metric for customer loyalty is the net promoter score, or NPS. It is a metric that measures customer loyalty. It is based on the idea that customers can be divided into three categories:

  • Promoters are customers who are loyal to the brand and will recommend it to others
  • Passives are customers who are satisfied with the brand but are not loyal to it
  • Detractors are customers who are dissatisfied with the brand and will not recommend it to others

NPS is used by many of the world’s leading companies, including Apple, Amazon, and Netflix.

It is calculated by taking the proportion of promoters and subtracting from it the proportion of detractors, where promoters are respondents who answer 9 or 10 to the question “How likely are you to recommend this company to a friend or colleague?” and detractors are respondents who answer 0 to 6 to the same question.

Issues with NPS...

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