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TOC
Current
Table of Contents
About the Author
Acknowledgments
Preface
1
What Is Marketing Analytics?
1.1
Marketing Analytics: More Than Just Crunching Numbers
1.2
A Closer Look: LuxeUnique
1.3
Analytics and the 4Ps
1.4
How to Use This Book
1.5
Core Concepts in Marketing Analytics
1.6
A Closer Look: Optimizing for Our Top Customers
1.7
From Data to Strategy: Using Data Sources
1.8
Case Study: Impact Hub Boston
1.9
Do the Math: ROAS—An Example of How Marketing Metrics Works
1.10
Conclusion
1.11
Questions for Further Study
2
Internal Data: Many Sources, One Goal
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2.1
Types of Internal Data
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2.2
A Closer Look: Hannah’s Hardware
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2.3
Conducting an Internal Data Audit
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2.4
Marketing Attribution, Customer Lifetime Value, and Average Order Value
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2.5
Do the Math: Web Analytics—Acquisition Data and Conversion Rate by Channel
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2.6
Case Study: Credit Union Association
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2.7
Conclusion
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2.8
Questions for Further Study
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3
From Direct Mail to Ad Platforms: Supplementing Internal Data with External Databases and Research
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3.1
External Data and Marketing
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3.2
A Closer Look: Finding the Right Markets
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3.3
Types of External Data
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3.4
Integrating External and Internal Data
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3.5
A Closer Look: Entering a New Market
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3.6
Do the Math: Estimating Market Size
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3.7
Conclusion
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3.8
Questions for Further Study
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4
The Data Engine of Search
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4.1
The Data Engine of Search
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4.2
A Closer Look: AccountCo
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4.3
Core Types of Search Data
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4.4
Strategic Paid Search Data
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4.5
Using Search Data to Optimize Search Marketing
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4.6
Using Search Data for Marketing Strategy
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4.7
A Closer Look: Keywords and Product Optimization
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4.8
Do the Math: The SEO Audit
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4.9
Case Study: Winning the Local Search Rankings
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4.10
Conclusion
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4.11
Questions for Further Study
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5
Understanding Your Landscape
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5.1
Traditional Sources of Competitive Data
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5.2
A Closer Look: Building a Brand
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5.3
Digital Sources of Competitive Data
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5.4
A Closer Look: Launching a New Product
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5.5
Industry Data
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5.6
Benchmarking
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5.7
Do the Math: Conjoint Analysis
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5.8
Conclusion
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5.9
Questions for Further Study
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6
Measuring the Social Web
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6.1
Basic Metrics
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6.2
A Closer Look: Post or Profile Metrics?
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6.3
Social Listening
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6.4
Paid Social Media Metrics
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6.5
Advanced Social Media Metrics
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6.6
Growth and Conversion Metrics
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6.7
Sentiment Analysis
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6.8
A Closer Look: Turning Sentiment Analysis into Consumer Insights
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6.9
Do the Math: Sentiment by Reach
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6.10
Case Study: Tweets for Seats
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6.11
Conclusion
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6.12
Questions for Further Study
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7
Over 100 Billion Emails a Day?
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7.1
Basic Email and Marketing Automation Techniques
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7.2
A Closer Look: Building a Loyal Base
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7.3
List Health Metrics
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7.4
A Closer Look: Shopping Cart Abandonment Campaign
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7.5
Advanced Email Metrics
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7.6
Marketing Automation Data
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7.7
Message Testing and Optimization
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7.8
Do the Math: Revenue by Subscriber
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7.9
Conclusion
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7.10
Questions for Further Study
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8
Measuring the Web’s Data
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8.1
What Is Web Analytics?
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8.2
A Closer Look: Hats Off to a Great Launch
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8.3
Basic Web Metrics
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8.4
User Behavior and Marketing Effectiveness Data
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8.5
Conversion Data
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8.6
Content Data
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8.7
A Closer Look: What Do They Want to See?
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8.8
Do the Math: Page Conversions
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8.9
Conclusion
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8.10
Questions for Further Study
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9
Going Beyond the Basics
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9.1
A Closer Look: Is Our Site Really Optimized?
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9.2
Advanced Conversion Metrics
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9.3
E-Commerce Data
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9.4
Technology Information
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9.5
Behavior Data
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9.6
Demographic and Psychographic Data
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9.7
A Closer Look: Bounce Rate and Event Tracking
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9.8
Conclusion
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9.9
Questions for Further Study
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10
Offline Research Matters, Even in an Online World
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10.1
Surveying Consumers to Learn Their Preferences
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10.2
A Closer Look: Finding Our Market
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10.3
Types of Research
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10.4
Survey Design and Deployment
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10.5
Questionnaire Design
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10.6
Qualitative, In-Depth Research
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10.7
Analyzing Market Research Data
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10.8
A Closer Look: Creating the Right Interface
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10.9
Do the Math: Standard Deviation
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10.10
Conclusion
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10.11
Questions for Further Study
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11
The Engagement Economy
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11.1
Understanding Video Metrics
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11.2
Video Content Metrics
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11.3
Video Ad Metrics
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11.4
A Closer Look: Forget the Stage Fright—Go Live
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11.5
Mobile App Metrics
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11.6
A Closer Look: Do We Want to Keep Them Entertained or Loyal?
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11.7
Do the Math: Measuring Net Engagement Growth
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11.8
Conclusion
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11.9
Questions for Further Study
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12
Predictive Analytics, Data Visualizations, and Dashboards
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12.1
Data Mining in Marketing Analytics
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12.2
A Closer Look: The Next Must-Have Product?
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12.3
Data Mining and Predictive Analytics in Marketing
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12.4
How Does Data Mining and Predictive Analytics Work?
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12.5
Basic Concepts of Predictive Analytics: A Primer for Marketers
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12.6
Natural Language Processing for Data Mining
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12.7
Using Predictive Analytics
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12.8
Data Visiualization
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12.9
Making Data Actionable: Creating Dashboards
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12.10
Tools of Dashboard Management and Data Visualization
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12.11
A Closer Look: Can We Trust the Numbers?
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12.12
Do the Math: Bag-of-Words
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12.13
Conclusion
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12.14
Questions for Further Study
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