- Copyright 2014
- Dimensions: 7" x 9-1/8"
- Edition: 1st
-
EPUB (Watermarked)
- ISBN-10: 0-13-355257-8
- ISBN-13: 978-0-13-355257-7
Master practical strategic marketing analysis through real-life case studies and hands-on examples. In Cutting Edge Marketing Analytics, three pioneering experts integrate all three core areas of marketing analytics: statistical analysis, experiments, and managerial intuition. They fully detail a best-practice marketing analytics methodology, augmenting it with case studies that illustrate the quantitative and data analysis tools you'll need to allocate resources, define optimal marketing mixes; perform effective analysis of customers and digital marketing campaigns, and create high-value dashboards and metrics.
For each marketing problem, the authors help you:
- Identify the right data and analytics techniques
- Conduct the analysis and obtain insights from it
- Outline what-if scenarios and define optimal solutions
- Connect your insights to strategic decision-making
Each chapter contains technical notes, statistical knowledge, case studies, and real data you can use to perform the analysis yourself. As you proceed, you'll gain an in-depth understanding of:
- The real value of marketing analytics
- How to integrate quantitative analysis with managerial sensibility
- How to apply linear regression, logistic regression, cluster analysis, and Anova models
- The crucial role of careful experimental design
For all marketing professionals specializing in marketing analytics and/or business intelligence; and for students and faculty in all graduate-level business courses covering Marketing Analytics, Marketing Effectiveness, or Marketing Metrics
Table of Contents
- Section I: Resource Allocation
- Chapter 1: A Resource-Allocation Perspective for Marketing Analytics
- Chapter 2: Dunia Finance LLC
- Section II: Product Analytics
- Chapter 3: Cluster Analysis for Segmentation
- Chapter 4: Segmentation at Sticks Kebob Shop
- Chapter 5: A Practical Guide to Conjoint Analysis
- Chapter 6: Portland Trail Blazers
- Section III: Marketing-Mix Analytics
- Chapter 7: Multiple Regression in Marketing-Mix Models
- Chapter 8: Design of Price and Advertising Elasticity Models
- Chapter 9: SVEDKA Vodka
- Section IV: Customer Analytics
- Chapter 10: Customer Lifetime Value
- Chapter 11: Netflix: The Customer Strikes Back
- Chapter 12: Retail Relay
- Chapter 13: Logistic Regression
- Chapter 14: Retail Relay Revisited
- Section V: Digital Analytics
- Chapter 15: Designing Marketing Experiments
- Chapter 16: Transformation of Marketing at the Ohio Art Company
- Chapter 17: Paid Search Advertising
- Chapter 18: Motorcowboy: Getting a Foot in the Door
- Chapter 19: VinConnect, Inc.: Digital Marketing Strategy
- Chapter 20: Cardagin: Local Mobile Rewards
- Section VI: Resource Allocation Revisited
- Chapter 21: Dunia Finance LLC Revisited
- Chapter 22: Implementing Marketing Analytics
- Index