"This book is an invaluable aid in the journey from big data to smart data usage, which is where competitive advantage rests. Leventhal delivers lashings of common sense based on erudition and experience, making this a very pragmatic and useful work." * Jane Frost CBE, Chief Executive Office, Market Research Society * "A comprehensive, engaging and accessible introduction to the increasingly important field of predictive analytics and marketing from one of the leading practitioners. Leventhal takes each of the main application areas in turn and focuses on how to generate value from data for your organization." * Tom Smith, Managing Director, Office for National Statistics (ONS) Data Science Campus. * "Leventhal masterfully presents a complex subject in a highly accessible way, liberally illustrating the material with real-life examples from his own experience." * Professor David J. Hand, Emeritus Professor of Mathematics, Imperial College London and Chief Scientific Advisor, Winton Group * "Leventhal has distilled his wealth of rich practical experience into a clear and comprehensive text, sharing best practice in methods for collecting data, building models, and operationalizing and leveraging the power of data to maximize economic value. A mandatory book for anyone working with customer data or predictive analytics." * Paul Cushion, Customer and Digital Associate, KPMG Management Consultancy * "I highly recommend this book both to those starting out in a career in marketing and to those seasoned marketers in need of some new tricks if they are to stay relevant." * Giles Pavey, Head of Data Strategy at the Department for Work & Employment and Former Chief Data Scientist at dunnhumby Ltd * "In a world teeming with data, competitive advantage now firmly lies in how effectively data is analysed. This book provides a comprehensive guide on how to approach, execute, evaluate and get the most out of predictive analytics. It is very easy to read - even for the non-statistically minded." * Lynne Robinson, Research Director, Institute of Practitioners in Advertising (IPA) * "If you think predictive analytics is not for you, think again. It is vital for anyone in any management capacity. Leventhal's Predictive Analytics for Marketers is required reading for anyone who needs to understand the latest practical methods to segment and analyse data, whether for the public or the private sector, or to predict future success or understand reasons for failure." * Roger Holland, Executive Chairman, JICPOPS (the Joint Industry Committee for Population Standards) * "Throughout, this is a very practical guide, with a number of marketing-focused case studies bringing the power of the analytical techniques discussed to life. A book that's very definitely not just for the shelf!" * Paul Cresswell, Head of Data Governance, Experian Marketing Services - Targeting * "Predictive Analytics for Marketers clearly explains the analytics process and its commercial context in language understandable to managers, marketers, IT specialists and analysts. It addresses the essential areas of communication between these specialisms, giving lucid accounts of the process of planning an analytics project, the importance of framing the business problem, and the need for its alignment with appropriate methods. Leventhal's book is a welcome addition, covering current topics in analytics clearly and insightfully." * David Harris, Product Development Partner, CACI Ltd. * "This is much more than a lucid and comprehensive textbook on predictive analytics. Leventhal's profound expertise shines through as he shares his thoughts from a practical as well as technical point of view. For businesses who wish to be data driven, this unambiguous and wise advice will provide an accelerated path to success." * Gordon Farquharson, Director of Analytics, more2 ltd * "Leventhal helpfully clarifies key concepts and gives sound and practical advice, drawing on his extensive experience in marketing. No matter how much you think you know about analytics, I suggest you read this book, apply it, and benefit from it!" * Paul Allin, Visiting Professor in Statistics, Imperial College London *