Marketing Analytics: A practical guide to real marketing science

Marketing Analytics: A practical guide to real marketing science

by Mike Grigsby
Marketing Analytics: A practical guide to real marketing science

Marketing Analytics: A practical guide to real marketing science

by Mike Grigsby

Paperback(New Edition)

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Overview

Who is most likely to buy and what is the best way to target them? Marketing Analytics enables marketers and business analysts to answer these questions by leveraging proven methodologies to measure and improve upon the effectiveness of marketing programs.

Marketing Analytics demonstrates how statistics, analytics and modeling can be put to optimal use to increase the effectiveness of every day marketing activities, from targeted list creation and data segmentation to testing campaign effectiveness and forecasting demand. The author explores many common marketing challenges and demonstrates how to apply different data models to arrive at viable solutions. Business cases and critical analysis are included to illustrate and reinforce key concepts throughout.

Beginners will benefit from clear, jargon-free explanations of methodologies relating to statistics, marketing strategy and consumer behaviour. More experienced practitioners will appreciate the more complex aspects of data analytics and data modeling, discovering new applications of various techniques in every day practice. Readers of Marketing Analytics will come away with a firm foundation in markets analytics and the tools they need to gain competitive edge and increase market share. Online supporting resources for this book include a bank of test questions as well as data sets relating to many of the chapters.


Product Details

ISBN-13: 9780749474171
Publisher: Kogan Page, Ltd.
Publication date: 06/03/2015
Series: Marketing Science
Edition description: New Edition
Pages: 248
Product dimensions: 5.90(w) x 8.90(h) x 0.50(d)

About the Author

Mike Grigsby has been involved in marketing science for over 25 years. He was marketing research director at Millward Brown and has held leadership positions at Hewlett-Packard and the Gap. With a wealth of practitioner experience at the forefront of marketing science and data analytics, he now heads up the strategic retail analysis practice at Targetbase. Mike is also known for academic work, having written articles for academic and trade journals and taught at both the graduate and undergraduate levels. He is a regular speaker at trade conventions and seminars.

Table of Contents

** Chapter - 00: Introduction; * Section - ONE: Overview; ** Chapter - 01: A (little) statistical review; ** Chapter - 02: Brief principles of consumer behaviour and marketing strategy; * Section - TWO: Dependent variable techniques; ** Chapter - 03: Modelling dependent variable techniques (with one equation): what are the things that drive demand?; ** Chapter - 04: Who is most likely to buy and how do I target?; ** Chapter - 05: When are my customers most likely to buy?; ** Chapter - 06: Modelling dependent variable techniques (with more than one equation); * Section - THREE: Inter-relationship techniques; ** Chapter - 07: Modelling inter-relationship techniques: what does my (customer) market look like?; ** Chapter - 08: Segmentation: tools and techniques; * Section - FOUR: Other; ** Chapter - 09: Marketing research; ** Chapter - 10: Statistical testing: how do I know what works?; * Section - FIVE: Capstone; ** Chapter - 11: Capstone: focusing on digital analytics; * Section - SIX: Conclusion; ** Chapter - 12: The Finale: what should you take away from this? Any other stories/soap box rants?
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