• Ecommerce Analytics Creates Business Value and Drives Business Growth
• The Ecommerce Analytics Value Chain
✔ Identifying and Prioritizing Demand
✔ Developing an Analytical Plan
✔ Activating the Ecommerce Analytics Environment
✔ Preparing and Wrangling Data
✔ Analyzing, Predicting, Optimizing, and Automating with Data
✔ Socializing Analytics
✔ Communicating the Economic Impact of Analytics
• Methods and Techniques for Ecommerce Analysis
✔ Understanding the Calendar for Ecommerce Analysis
✔ Storytelling Is Important for Ecommerce Analysis
✔ Tukey’s Exploratory Data Analysis Is an Important Concept in Ecommerce Analytics
✔ Types of Data: Simplified
✔ Looking at Data: Shapes of Data
✔ Analyzing Ecommerce Data Using Statistics and Machine Learning
✔ Using Key Performance Indicators for Ecommerce
• Visualizing, Dashboarding, and Reporting Ecommerce Data and Analysis
✔ Understanding Reporting
✔ Explaining the RASTA Approach to Reporting
✔ Understanding Dashboarding
✔ Explaining the LIVEN Approach to Dashboarding
✔ What Data Should I Start With in an Ecommerce Dashboard?
✔ Understanding Data Visualization
• Ecommerce Analytics Data Model and Technology
✔ Understanding the Ecommerce Analytics Data Model: Facts and Dimensions
✔ Explaining a Sample Ecommerce Data Model
✔ Understanding the Inventory Fact
✔ Understanding the Product Fact
✔ Understanding the Order Fact
✔ Understanding the Order Item Fact
✔ Understanding the Customers Fact
✔ Understanding the Customer Order Fact
✔ Reviewing Common Dimensions and Measures in Ecommerce
• Marketing and Advertising Analytics in Ecommerce
✔ Understanding the Shared Goals of Marketing and Advertising Analysis
✔ Reviewing the Marketing Lifecycle
✔ Understanding Types of Ecommerce Marketing
✔ Analyzing Marketing and Advertising for Ecommerce
✔ What Marketing Data Could You Begin to Analyze?
• Analyzing Behavioral Data
✔ Answering Business Questions with Behavioral Analytics
✔ Understanding Metrics and Key Performance Indicators for Behavioral Analysis
✔ Reviewing Types of Ecommerce Behavioral Analysis
• Optimizing for Ecommerce Conversion and User Experience
✔ The Importance of the Value Proposition in Conversion Optimization
✔ The Basics of Conversion Optimization: Persuasion, Psychology, Information Architecture, and Copywriting
✔ The Conversion Optimization Process: Ideation to Hypothesis to Post-Optimization Analysis
✔ The Data for Conversion Optimization: Analytics, Visualization, Research, Usability, Customer, and Technical Data
✔ The Science Behind Conversion Optimization
✔ Succeeding with Conversion Optimization
• Analyzing Ecommerce Customers
✔ What Does a Customer Record Look Like in Ecommerce?
✔ What Customer Data Could I Start to Analyze?
✔ Questioning Customer Data with Analytical Thought
✔ Understanding the Ecommerce Customer Analytics Lifecycle
✔ Defining the Types of Customers
✔ Reviewing Types of Customer Analytics
✔ Segmenting Customers
✔ Performing Cohort Analysis
✔ Calculating Customer Lifetime Value
✔ Determining the Cost of Customer Acquisition
✔ Analyzing Customer Churn
✔ Understanding Voice-of-the-Customer Analytics
✔ Doing Recency, Frequency, and Monetary Analysis
✔ Determining Share of Wallet
✔ Scoring Customers
✔ Predicting Customer Behavior
✔ Clustering Customers
✔ Predicting Customer Propensities
✔ Personalizing Customer Experiences
• Analyzing Products and Orders in Ecommerce
✔ What Are Ecommerce Orders?
✔ What Order Data Should I Begin to Analyze?
✔ What Metrics and Key Performance Indicators Are Relevant for Ecommerce Orders?
✔ Approaches to Analyzing Orders and Products
✔ Analyzing Products in Ecommerce
✔ Analyzing Merchandising in Ecommerce
✔ What Merchandising Data Should I Start Analyzing First?
• Attribution in Ecommerce Analytics
✔ Attributing Sources of Buyers, Conversion, Revenue, and Profit
✔ Understanding Engagement Mapping and the Types of Attribution
✔ The Difference between Top-Down and Bottom-Up Approaches to Attribution
✔ A Framework for Assessing Attribution Software
• What Is an Ecommerce Platform?
✔ Understanding the Core Components of an Ecommerce
✔ Understanding the Business Functions Supported by an Ecommerce Platform
✔ Determining an Analytical Approach to Analyzing the Ecommerce Platform
• Integrating Data and Analysis to Drive Your Ecommerce Strategy
✔ Defining the Types of Data, Single-Channel to Omnichannel
✔ Integrating Data from a Technical Perspective
✔ Integrating Analytics Applications
✔ Integrating Data from a Business Perspective
• Governing Data and Ensuring Privacy and Security
✔ Applying Data Governance in Ecommerce
✔ Applying Data Privacy and Security in Ecommerce
✔ Governance, Privacy, and Security Are Part of the Analyst’s Job
• Building Analytics Organizations and Socializing Successful Analytics
✔ Suggesting a Universal Approach for Building Successful Analytics Organizations
✔ Determine and Justify the Need for an Analytics Team
✔ Gain Support for Hiring or Appointing a Leader for Analytics
✔ Hire the Analytics Leader
✔ Gather Business Requirements
✔ Create the Mission and Vision for the Analytics Team
✔ Create an Organizational Model
✔ Hire Staff
✔ Assess the Current State Capabilities and Determine the Future State Capabilities
✔ Assess the Current State Technology Architecture and Determine the Future State Architecture
✔ Begin Building an Analytics Road Map
✔ Train Staff
✔ Map Current Processes, Interactions, and Workflows
✔ Build Templates and Artifacts to Support the Analytics Process
✔ Create a Supply CONTENTS xi -and-Demand Management Model
✔ Create an Operating Model for Working with Stakeholders
✔ Use, Deploy, or Upgrade Existing or New Technology
✔ Collect or Acquire New Data
✔ Implement a Data Catalog, Master Data Management, and Data Governance
✔ Meet with Stakeholders and Participate in Business Processes, and Then Socialize Analysis on a Regular Cadence and Periodicity
✔ Do Analysis and Data Science and Deliver It
✔ Lead or Assist with New Work Resulting from Analytical Processes
✔ Document and Socialize the Financial Impact and Business Outcomes Resulting from Analysis
✔ Continue to Do Analysis, Socialize It, and Manage Technology While Emphasizing the BusinessImpact Ad Infinitum
✔ Manage Change and Support Stakeholders
• The Future of Ecommerce Analytics
✔ The Future of Data Collection and Preparation
✔ The Future Is Data Experiences
✔ Future Analytics and Technology Capabilities