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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

Customer Survey Analysis

Analyzing customer surveys is a vital part of market research, enabling organizations to grasp their customers’ needs, preferences, and levels of satisfaction. This process, which involves gathering data via surveys and dissecting the outcomes, aims to enhance the customer experience. By understanding customer sentiments, businesses can pinpoint improvement areas and make strategic decisions to bolster customer satisfaction and loyalty, ultimately improving customer experience, in order to increase customer satisfaction and loyalty. It can also lead to insights into how to improve the product or service and how to better target and acquire new customers.

In this chapter, we will discuss the steps involved in conducting a customer survey and analyzing the results. You will gain a good understanding of the different types of survey methods, how to design a survey, and how to analyze the results. You will also learn about the different types of measurement...

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