Makes complex data and predictive analytics techniques accessible for everyday marketing problems, delivering a practical, jargon-free guide to improve consumer insights and a directly informed strategy.Available to pre-order from 3rd January 2018
Who is most likely to buy and what is the best way to target them? How can businesses improve strategy without identifying the key influencing factors? The second edition of Marketing Analytics enables marketers and business analysts to leverage predictive techniques to measure and improve performance. By exploring real-world marketing challenges, it provides clear, jargon-free explanations on how to apply different analytical models for each purpose. From targeted list creation and data segmentation, to testing campaign effectiveness, pricing structures and forecasting demand, this book offers a welcome handbook on how statistics, consumer analytics and modelling can be put to optimal use.
The fully revised second edition of Marketing Analytics includes three new chapters on big data analytics, insights and panel regression, including how to collect, separate and analyze big data. All of the advanced tools and techniques for predictive analytics have been updated, translating models such as tobit analysis for customer lifetime value into everyday use. Whether an experienced practitioner or having no prior knowledge, methodologies are simplified to ensure the more complex aspects of data and analytics are fully accessible for any level of application. Complete with downloadable data sets and test bank resources, this book supplies a concrete foundation to optimize marketing analytics for day-to-day business advantage.
Mike Grigsby is vice president of customer insights and advanced analytics at Brierley and Partners in Texas, US. With more than 25 years of experience, he is the former vice president of strategic business analysis and advanced analytics at Targetbase, director of marketing science for Millward Brown and has held leadership positions at Hewlett-Packard and Gap.
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