Web Analytics: An Hour A Day Book/CD Package
An Hour a Day
av Avinash Kaushik
- Format:
- Mixed media product
- Utgiven:
- 2007-05-01
- Språk:
- Engelska
Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
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Bloggat om Web Analytics: An Hour A Day Book/CD Package
Övrig information
Avinash Kaushik is the author of the highly rated web analytics blog Occam's Razor (www.kaushik.net/avinash). He is an independent consultant and currently the Analytics Evangelist for Google. Prior to that he was the Director of Web Research & Analytics for Intuit, where he was responsible for the business, technical, and strategic elements of the analytics platform that supported more than 70 Intuit websites. Avinash is a frequent speaker at such conferences as Emetrics Summits and Ad-Tech, and he is often quoted in the media as a web metrics expert. Avinash is donating all proceeds from this book to two charities, The Smile Train and Doctors Without Borders.
(Computer Bookshops Limited)
Innehållsförteckning
Foreword.
Introduction.
Chapter 1 Web AnalyticsPresent 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 CollectionImportance 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 AnalyticsInternal 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 MarketingAdvanced Tracking.
Weeks 3 and 4: Multichannel Marketing, Tracking, and Analysis.
Chapter 10 Month 5:Website Experimentation and TestingShifting the Power to Customers and Achieving Significant Outcomes.
Weeks 1 and 2: Why Test and What Are Your Options?
Week 3: What to TestSpecific 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 ...
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