Predictive Marketing (eBook)

ÖMER ARTUN, PhD is the founder and CEO of AgilOne. He aims to help marketers understand and predict customer behavior and make marketing personal again. He previously held executive roles in marketing at Best Buy, CDW and was a consultant with McKinsey & Company. He holds a PhD in Physics and Computational Neuroscience from Brown University. DOMINIQUE LEVIN is a business and consumer marketing executive and an early adopter of data-driven marketing. Before building the marketing efforts of numerous startups, often from the ground up, she was an executive at Philips Consumer Electronics and Nippon Telegraph and Telephone. She holds an MBA with distinction from Harvard University.

Introduction: Who Should Read This Book ix

PART 1 A Complete Predictive Marketing Primer 1

Chapter 1 Big Data and Predictive Analytics Are Now Easily Accessible to All Marketers 3

Chapter 2 An Easy Primer to Predictive Analytics for Marketers 23

Chapter 3 Get to Know Your Customers First: Build Complete Customer Profiles 43

Chapter 4 Managing Your Customers as a Portfolio to Improve Your Valuation 63

PART 2 Nine Easy Plays to Get Started with Predictive Marketing 75

Chapter 5 Play One: Optimize Your Marketing Spending Using Customer Data 77

Chapter 6 Play Two: Predict Customer Personas and Make Marketing Relevant Again 93

Chapter 7 Play Three: Predict the Customer Journey for Life Cycle Marketing 103

Chapter 8 Play Four: Predict Customer Value and Value-Based Marketing 115

Chapter 9 Play Five: Predict Likelihood to Buy or Engage to Rank Customers 123

Chapter 10 Play Six: Predict Individual Recommendations for Each Customer 137

Chapter 11 Play Seven: Launch Predictive Programs to Convert More Customers 145

Chapter 12 Play Eight: Launch Predictive Programs to Grow Customer Value 155

Chapter 13 Play Nine: Launch Predictive Programs to Retain More Customers 169

PART 3 How to Become a True Predictive Marketing Ninja 183

Chapter 14 An Easy-to-Use Checklist of Predictive Marketing Capabilities 185

Chapter 15 An Overview of Predictive (and Related) Marketing Technology 197

Chapter 16 Career Advice for Aspiring Predictive Marketers 209

Chapter 17 Privacy and the Difference Between Delightful and Invasive 215

Chapter 18 The Future of Predictive Marketing 221

Appendix: Overview of Customer Data Types 229

Index 237