Data Analytics for Marketing
eBook Details:
- Paperback: 452 pages
- Publisher: WOW! eBook (May 10, 2024)
- Language: English
- ISBN-10: 1803241608
- ISBN-13: 978-1803241609
eBook Description:
Data Analytics for Marketing: A practical guide to analyzing marketing data using Python. Conduct data-driven marketing research and analysis with hands-on examples using Python by leveraging open-source tools and libraries.
Most marketing professionals are familiar with various sources of customer data that promise insights for success. There are extensive sources of data, from customer surveys to digital marketing data. Moreover, there is an increasing variety of tools and techniques to shape data, from small to big data. However, having the right knowledge and understanding the context of how to use data and tools is crucial.
In this book, you’ll learn how to give context to your data and turn it into useful information. You’ll understand how and where to use a tool or dataset for a specific question, exploring the “what and why questions” to provide real value to your stakeholders. Using Python, this book will delve into the basics of analytics and causal inference. Then, you’ll focus on visualization and presentation, followed by understanding guidelines on how to present and condense large amounts of information into KPIs. After learning how to plan ahead and forecast, you’ll delve into customer analytics and insights. Finally, you’ll measure the effectiveness of your marketing efforts and derive insights for data-driven decision-making.
- Understand the basic ideas behind the main statistical models used in marketing analytics
- Apply the right models and tools to a specific analytical question
- Discover how to conduct causal inference, experimentation, and statistical modeling with Python
- Implement common open source Python libraries for specific use cases with immediately applicable code
- Analyze customer lifetime data and generate customer insights
- Go through the different stages of analytics, from descriptive to prescriptive
By the end of this Data Analytics for Marketing book, you’ll understand the tools you need to use on specific datasets to provide context and shape your data, as well as to gain information to boost your marketing efforts.
