Advanced Marketing Analytics: Transform Data into Insights

Nasir Salarihas written a definitive guide for the modern analytics era. While the book is rigorously focused on marketing, its frameworks are so robust that I found it equally valuable for two distinct purposes: refining a complex corporate marketing report and adopting it for my Master’s level Management Information Simulation module.
The inclusion of real-world datasets, such as the bike-sharing case studies, alongside critical topics like Exploratory Data Analysis and unsupervised learning, makes this an invaluable resource. It is rare to find a text that bridges the gap between industry application and academic curriculum so effectively.

” ― Dr Soroosh Sharifi, Lecturer in Water Engineering, University of Birmingham

“Advanced Marketing Analytics is a clear, practical, and well-structured guide to data-driven decision-making. It equips readers with the essential analytical skills and confidence needed to make informed decisions in today’s digital marketplace. A valuable resource for students, educators and professionals.” ― Dr Isik Akin, Senior Lecturer in Accounting and Finance, Bath Spa University

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Nasir Salari’s new book ‘Advanced Marketing Analytics’ is relatively concise yet is very rich in content: ranging from simpler to complicated techniques and from structured to unstructured data processing. I have come across many marketing analytics books in the market but Dr Salari’s new book offers something unique. It integrates the three pillars – concepts, techniques and software packages – of advanced marketing analytics brilliantly and is written in a very clear and logical language. What’s more, the book is properly arranged so that readers can choose to follow it from start to end to learn the totality of knowledge delivered in the book or choose to focus on one or more separate chapters for their specific task purpose. Similarly, readers can also choose to learn and follow the Python language embedded in the book or choose the no-code or point-and-click route if they prefer to skip the programme language.
To summarise, Dr Salari‘s new book’s richness in content, seamless integration of concepts, techniques and software packages as well as modularity arrangement makes it a potential stand-out winner in the market.

” ― Dr Eric Shiu, Assistant Professor in Marketing and Innovation Management, University of Birmingham

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Advanced Marketing Analyticspresents a comprehensive and contemporary examination of the role of data, technology, and advanced analytical tools in understanding consumer behaviour and supporting informed marketing decision-making in today’s dynamic business environment. The book effectively bridges theory and practice, enabling students and professionals to transform large volumes of digital data into actionable insights for strategy development, performance measurement, customer prediction, and marketing optimization.
The inclusion of dedicated chapters on Segmentation and Clustering and Advanced Regression in Marketing significantly enhances the book’s academic depth and practical relevance by introducing modern machine learning concepts such as supervised and unsupervised learning, K-Nearest Neighbours (KNN), and advanced regression techniques aligned with current industry standards. Furthermore, the clear and engaging treatment of natural language processing (NLP) and A/B testing demonstrates the author’s strong command of contemporary analytical methods and their real-world marketing applications. Overall, the book is highly relevant and well-positioned to prepare readers for advanced studies and professional roles in an increasingly data-driven and analytics-focused marketing landscape.

” ― Dr M.N Brohi, Campus Director, Future Education World Academic Centre RAK, Bath Spa University, United Arab Emirates

Dr Nasir Salari joined Bath Spa University in 2013 after completing his PhD in Marketing at the University of Birmingham. He is currently the Academic Research Lead and Partnership Leader at Bath Spa University.
Dr Salari has extensive teaching experience in various aspects of Business Management, including Marketing Analytics, Data Science and Innovation Adoption Behaviour. His teaching is informed by a deep understanding of both marketing and data science, ensuring that students gain a contemporary and practical education that bridges these crucial fields.
His expertise lies at the intersection of marketing and data science, with a particular focus on the application of advanced analytical techniques to marketing challenges. Dr Salari holds professional certificates in Data Science from the Data Incubator and Cambridge Spark and is actively engaged in research exploring the integration of data science into marketing practices. His research interests include Natural Language Processing (NLP) for sentiment analysis and machine learning techniques such as Approximate Nearest Neighbours, Random Forests, t-SNE, and K-Means clustering, among others.
In his role as Academic Research Lead, Dr Salari focuses on advancing the research activities within the Business School’s research centre. As Partnership Leader, he is responsible for developing and managing strategic partnerships that enhance the Business School’s academic and professional network.