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OverviewWho 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. The book 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 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. About the series: The Marketing Science series makes difficult topics accessible to marketing students and practitioners by grounding them in business reality. Each book is written by an expert in the field and includes case studies and illustrations enabling marketers to gain confidence in applying the tools and techniques and in commissioning external research. Full Product DetailsAuthor: Mike GrigsbyPublisher: Kogan Page Ltd Imprint: Kogan Page Ltd ISBN: 9780749474188ISBN 10: 0749474181 Pages: 248 Publication Date: 03 June 2015 Audience: General/trade , College/higher education , Professional and scholarly , General , Tertiary & Higher Education Format: Electronic book text Publisher's Status: Active Availability: Available To Order ![]() We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsSection - Part One: Overview; Chapter - 1: Introduction; Chapter - 2: A Brief Review of Statistics; Chapter - 3: A Brief Review of Consumer Behavior and Marketing Strategy; Section - Part Two: Dependent Variable Techniques; Chapter - 4: Modeling - Dependent Variable Techniques with One Equation; Chapter - 5: What are Things That Drive Demand?; Chapter - 6: Modeling Elasticity; Section - a: Highlight: Segmentation and Elasticity Modeling Can Maximize Revenue in a Veterinarian Clinic Chain: Field Test Results; Chapter - 7: Who is Most Likely to Buy and How do I Target?; Chapter - 8: Lift Charts and Direct Marketing; Section - a: Hightlight: Predictive Lifetime Value is Superior to Descriptive Lifetime Value; Chapter - 9: Modeling - Dependent Variable Techniques with < One Equation; Chapter - 10: How Does Price (or Other Stimuli) Affect Brands (or Products)?; Section - Part Three: Inter-Relationship Techniques; Chapter - 11: Modeling - Inter-Relationship Techniques; Chapter - 12: What Does My Market Look Like?; Chapter - 13: Segmentation Tools and Techniques; Section - a: Highlight: Why go Beyond RFM?; Section - Part Four: Other; Chapter - 14: Marketing Research; Chapter - 15: Questionnaire Design; Chapter - 16: Missing Value Imputation; Chapter - 17: Brief Mention of Conjoint; Chapter - 18: Structural Equation Modeling; Chapter - 19: Testing; Chapter - 20: How Do I Know What Works?; Chapter - 21: An Alternative to Traditional Testing; Section - Part Five: Capstone; Chapter - 22: Capstone: Applying to Digital Analysis; Chapter - 23: Modeling Engagement; Chapter - 24: Modeling Social Media's Impact on Two Different Channels; Section - Part Six: Conclusion; Chapter - 25: Conclusion;ReviewsAuthor InformationMike 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. Tab Content 6Author Website:Countries AvailableAll regions |