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Web Analytics An Hour a Day

Author: Avinash Kaushik
Publisher: New York, NY John Wiley & Sons 2009
Edition/Format:   eBook : Document : English : 1., AuflageView all editions and formats
Database:WorldCat
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Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Avinash Kaushik
ISBN: 9780470525517 0470525517
OCLC Number: 897581354
Notes: Lizenzpflichtig
Description: Online-Ressource.
Contents: Foreword. Introduction. Chapter 1 Web Analytics-Present and Future. A Brief History of Web Analytics. Current Landscape and Challenges. Traditional Web Analytics Is Dead. What Web Analytics Should Be. Chapter 2 Data Collection-Importance and Options. Understanding the Data Landscape. Clickstream Data. Outcomes Data. Research Data. Competitive Data. Chapter 3 Overview of Qualitative Analysis. The Essence of Customer Centricity. Lab Usability Testing. Heuristic Evaluations. Site Visits (Follow-Me-Home Studies). Surveys (Questionnaires). Summary. Chapter 4 Critical Components of a Successful Web Analytics Strategy? Focus on Customer Centricity. Solve for Business Questions. Follow the 10/90 Rule. Hire Great Web Analysts. Identify Optimal Organizational Structure and Responsibilities. Chapter 5 Web Analytics Fundamentals. Capturing Data: Web Logs or JavaScript tags? Selecting Your Optimal Web Analytics Tool. Understanding Clickstream Data Quality. Implementing Best Practices. Apply the "Three Layers of So What" Test. Chapter 6 Month 1: Diving Deep into Core Web Analytics Concepts. Week 1: Preparing to Understand the Basics. Week 2: Revisiting Foundational Metrics. Week 3: Understanding Standard Reports. Week 4: Using Website Content Quality and Navigation Reports. Chapter 7 Month 2: Jump-Start Your Web Data Analysis. Prerequisites and Framing. Week 1: Creating Foundational Reports. E-commerce Website Jump-Start Guide. Support Website Jump-Start Guide. Blog Measurement Jump-Start Guide. Week 4: Reflections and Wrap-Up. Chapter 8 Month 3: Search Analytics-Internal Search, SEO, and PPC. Week 1: Performing Internal Site Search Analytics. Week 2: Beginning Search Engine Optimization. Week 3: Measuring SEO Efforts. Week 4: Analyzing Pay per Click Effectiveness. Chapter 9 Month 4: Measuring Email and Multichannel Marketing. Week 1: Email Marketing Fundamentals and a Bit More. Week 2: Email Marketing-Advanced Tracking. Weeks 3 and 4: Multichannel Marketing, Tracking, and Analysis. Chapter 10 Month 5:Website Experimentation and Testing-Shifting the Power to Customers and Achieving Significant Outcomes. Weeks 1 and 2: Why Test and What Are Your Options? Week 3: What to Test-Specific Options and Ideas. Week 4: Build a Great Experimentation and Testing Program. Chapter 11 Month 6: Three Secrets Behind Making Web Analytics Actionable. Week 1: Leveraging Benchmarks and Goals in Driving Action. Week 2: Creating High Impact Executive Dashboards. Week 3: Using Best Practices for Creating Effective Dashboard Programs. Week 4: Applying Six Sigma or Process Excellence to Web Analytics. Chapter 12 Month 7: Competitive Intelligence and Web 2.0 Analytics. Competitive Intelligence Analytics. Web 2.0 Analytics. Chapter 13 Month 8 and Beyond: Shattering the Myths of Web Analytics. Path Analysis: What Is It Good For? Absolutely Nothing. Conversion Rate: An Unworthy Obsession. Perfection: Perfection Is Dead, Long Live Perfection. Real-Time Data: It's Not Really Relevant, and It's Expensive to Boot. Standard KPIs: Less Relevant Than You Think. Chapter 14 Advanced Analytics Concepts-Turbocharge Your Web Analytics. Unlock the Power of Statistical Significance. Use the Amazing Power of Segmentation. Make Your Analysis and Reports "Connectable". Use Conversion Rate Best Practices. Elevate Your Search Engine Marketing/Pay Per Click Analysis. Measure the Adorable Site Abandonment Rate Metric. Measure Days and Visits to Purchase. Leverage Statistical Control Limits. Measure the Real Size of Your Convertible "Opportunity Pie". Chapter 15 Creating a Data-Driven Culture-Practical Steps and Best Practices. Key Skills to Look for in a Web Analytics Manager/Leader. When and How to Hire Consultants or In-House Experts. Seven Steps to Creating a Data-Driven Decision-Making Culture. Index.
Responsibility: Avinash Kaushik

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