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Principles of Marketing Analytics
Understand Data-Driven Decision-Making
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About the book
This practical undergraduate textbook is ideal for understanding data-driven, analytical marketing skills.
Principles of Marketing Analytics is an introductory textbook for undergraduate and postgraduate marketing students. Ijeoma Onwumere takes readers from foundational principles to applied insights of marketing analytics, developing the analytical mindset and confidence to make evidence-based marketing decisions.
This textbook explains how data drives segmentation, targeting, campaign optimization, and forecasting, bridging marketing theory with analytical practice. Students will learn to collect, analyse and interpret data and explore how technologies such as machine learning and generative AI are transforming the discipline.
Designed for both classroom learning and independent study, this textbook aligns with undergraduate modules in marketing analytics and digital marketing. It includes:
- Frameworks including AIDA Model (Awareness, Interest, Desire, Action), CRO (conversion rate optimization) and TBL (triple bottom line) for applying analytics to marketing challenges
- Real-world examples from Netflix, Walmart, Airbnb, Sephora, Nike and more that connect theory and practice and shows how data-driven insights power measurable impact
- Exercises, discussion questions, and chapter summaries to consolidate learning
- Key terms list and key learning points for quick review
- Online resources for lecturers, including slides and a teaching guide
Whether studying marketing analytics or preparing for a data-informed career, Principles of Marketing Analytics equips students with the skills to make confident, data-driven marketing decisions.
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Table of contents
- Chapter - 00: Introduction;
- Section - ONE:  Foundations of marketing analytics;
- Chapter - 01: Introduction to marketing analytics;
- Chapter - 02: Data collection and measurement – best practices for collecting, organizing and storing marketing data;
- Chapter - 03: Key marketing metrics;
- Section - TWO:  Marketing analytics in action;
- Chapter - 04: Marketing analytics in action – customer segmentation and targeting;
- Chapter - 05: Marketing campaign optimization – leveraging data to improve campaign effectiveness;
- Chapter - 06: Social media analytics – tracking performance and engaging customers online;
- Chapter - 07: Web analytics – analysing website traffic and user behaviour to optimize user experience;
- Section - THREE: Advanced marketing analytics – predictive modelling and beyond;
- Chapter - 08: Predictive modelling – forecasting trends and customer behaviour;
- Chapter - 09: Marketing attribution – evaluating channels and touchpoints;
- Chapter - 10: Machine learning for marketing – automating and enhancing decisions;
- Chapter - 11: The rise of generative AI in marketing;
- Chapter - 12: Answers to the multiple-choice quizzes;
Reviews
Principles of Marketing Analytics is a clear, authoritative and highly practical guide to understanding data-driven decision-making. The book breaks down complex concepts with exceptional clarity, offering a solid foundation in analytics, metrics and performance measurement. Each chapter is structured to build real competence, from data collection and organization to segmentation, optimisation and strategic interpretation.
What truly sets this text apart is its balance of theory and application, supported by exercises, real-world scenarios and actionable frameworks. Whether you're a student, marketer or business leader, this book equips you with the skills and confidence to turn data into meaningful insight and measurable results. A valuable resource for anyone committed to modern, evidence-based marketing.
- Principles of Marketing Analytics is an outstanding guide for any organization aiming to master data-driven decision-making. It expertly brings together the core principles and practical exercises needed to harness data for strategic decisions, making it an invaluable resource for forward-looking businesses. It does a wonderful job of outlining the key challenges facing marketing professionals when dealing with data on a daily basis.
- Dr. Abdul Jabbar, Associate Professor in Data Strategy and Analytics, University of Leicester, UK
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