Marketing Analytics: A Comprehensive Guide

Key Features

• Comprehensive and Practical. Efficiently covers general topics such as
  • Roles of analytics and data
  • Appropriate analytical tools and how to use them
  • How to accurately measure and evaluate results of marketing activities
  • Clear explanations of data models
  • The minimum level of math necessary to accomplish key analytic goals
• Real-World Focus. Reveals how working marketers actually do their jobs. Models the application of analytics to specific marketing channels and roles. Each chapter opens with a compelling case study to engage students and set the stage for the chapter to come. Stories based on real-life experiences are peppered throughout to bring data to life.
• Organized by Marketing Channel. Students learn exactly how to measure activity and results in core marketing channels according to their distinct attributes. For example, Chapter 6 presents a comprehensive breakdown of all the social media measurements that matter. It explains engagement really is, why it should be measured, and then exactly how to measure it. In a similar way, each core chapter (Chapters 3–11) tackles a different area of marketing, from email to advertising, goes through all of the specific data related to that area of chapter focus, and details how it’s best measured.
• Supportive Learning Features
  • “Learning Objectives” at the beginning of every main section preview the material to come.
  • “A Closer Look” is a short, engaging accounts of real-world situations sprinkled throughout the chapter that bring data to life.
  • “Do the Math” guides students to “crunch the numbers” based on just the amount of mathematics necessary to complete the operation. Scenarios are based on an examples or cases introduced within the same chapter.
  • “Conclusion” at the end of every chapter mirrors the chapter’s learning objectives and summarizes key points.
  • “Questions for Further Study” present real-world cases that prompt students to think critically about information the encountered in the preceding chapter.
  • Embedded video links throughout support visual learning, highlight key analytics operations, and bring concepts to life.
• Superior Coverage of qualitative and quantitative information (Chapter 1), introduction of marketing and non-marketing data (Chapter 2), Google Search (Chapter 3), data brokers (Chapter 3), data sources (Chapter 5), benchmarking data (Chapter 5), social listening and sentiment analysis (Chapter 6), search data and search marketing (Chapter 6), A/B testing (Chapter 7), email marketing (Chapter 7), flowcharts (Chapter 7), metrics categories (Chapter 8), Google Analytics (Chapter 8), using data for decision making (Chapter 9), conversion paths (Chapter 9), shopping behavior (Chapter 9), types of survey questions (Chapter 10), marketing research (Chapter 10), video advertising and video content (Chapter 11), conversion marketing (Chapter 11), data visualization techniques (Chapter 12).