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Marketing Analytics

Marketing Analytics

A Practical Guide to Improving Consumer Insights Using Data Techniques

Mike Grigsby

£29.99

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
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About the book

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.


Table Of Contents

    • Chapter - 00: Introduction to Marketing Analytics;
  • Section - ONE: Overview - How Can Marketing Analytics Help You?;
    • Chapter - 01: A Brief Statistics Review;
    • Chapter - 02: Brief Principles of Consumer Behaviour and Marketing Strategy;
    • Chapter - 03: What is an Insight?;
  • Section - TWO: Dependent Variable Techniques;
    • Chapter - 04: What Drives Demand? Modelling Dependent Variable Techniques
    • Chapter - 05: Who is Most Likely to Buy and How Do I Target Them?;
    • Chapter - 06: When are My Customers Most Likely to Buy?;
    • Chapter - 07: How to Incorporate Cross-Sectional Time Series;
    • Chapter - 08: Systems of Equations;
  • Section - THREE: Inter-Relationship Techniques;
    • Chapter - 09: What Does My Customer Market Look Like?;
    • Chapter - 10: Segmentation - Tools and Techniques;
  • Section - FOUR: More Important Topics for Everyday Marketing;
    • Chapter - 11: Statistics Testing – How Do I Know What Works?;
    • Chapter - 12: Implementing Big Data and Big Data Analytics;
  • Section - FIVE: Conclusion;
    • Chapter - 13: The Finale – What Should You Take Away From This?



Book Details

  • EAN: 9780749482169
  • Edition: 2
  • Published: 3rd April 2018
  • Paperback
  • Format: 234x156
  • 248 pages

About the Author

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.


Mike Grigsby