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080327s2007 inua s 001 0 eng d |
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|a 2008272725
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|a 9780470130650
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|a 0470130652
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|a (OCoLC)144566695
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|a (OCoLC)ocn144566695
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|a ZA4235
|b .K38 2007
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|a 025.04
|2 22
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|a Kaushik, Avinash.
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|a Web analytics :
|b an hour a day /
|c Avinash Kaushik.
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| 260 |
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|a Indianapolis, Ind. :
|b Sybex :
|b Wiley,
|c c2007.
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| 300 |
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|a xxxiii, 443 p. :
|b il. ;
|c 24 cm. +
|e 1 CD-ROM (4 3/4 plg.)
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| 490 |
1 |
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|a Serious skills
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| 500 |
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|a Incluye índice.
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|a Foreword -- Introduction -- 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 -- 2. Data collection: importance and options: Understanding the Data Landscape ; Clickstream Data ; Outcomes Data ; Research Data ; Competitive Data -- 3. Overview of qualitative analysis: The Essence of Customer Centricity ; Lab Usability Testing ; Heuristic Evaluations ; Site Visits (Follow-Me-Home Studies) ; Surveys (Questionnaires) ; Summary -- 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 -- 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 -- 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 -- 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 -- 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 -- 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 --
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|a 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 -- 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 -- 12. Month 7: Competitive intelligence and Web 2.0 Analytics: Competitive Intelligence Analytics ; Web 2.0 Analytics -- 13. Month 8 and beyond: Shattering the myths of Web analytics: Path Analysis: What Is It Good For? Absolutely Nothing ; Conversion rate: 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 -- 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" -- 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.
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| 520 |
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|a "Develop a Successful Web Analytics Strategy. A Step-by-Step Guide. Learn web analytics the right way with this unique, thoroughly modern guide to today's web analytics challenges and opportunities. Written by an in-the-trenches practitioner, this book goes beyond concepts and definitions to challenge prevalent thinking about the field and provide a step-by-step guide to implementing a successful web analytics strategy. Web analytics expert Avinash Kaushik, in his thought-provoking style, debunks leading myths and leads you on a path to gaining actionable insights from your analytics efforts. Discover how to move beyond clickstream analysis, why qualitative data should be your focus, and more insights and techniques that will help you develop a customer-centric mindset without sacrificing your company's bottom line. Learn the pros and cons of data collection methodologies; Find out how you can stop counting page views and still get a rich understanding of your customers; Discover how to identify valuable metrics with the "three layers of so what" test; Optimize your organizational structure and choose the right analytics tool; Understand and apply advanced analytics concepts, including SEM/PPC analysis, the power of segmentation, conversion-rate best practices, and others; Leverage quick-start solutions for blogs and e-commerce, support, and small business websites; Learn the key ingredients of a great experimentation and testing platform; Use competitive-intelligence analysis to glean insights and drive actions. You'll also find: Ten steps to turbocharge your web analytics; Seven steps for creating a data-driven culture in your organization; Six ways to measure the success of a blog; Three secrets behind making web analytics actionable; Ten signs of a great web analyst. Valuable CD included. The innovative CD includes more than three hours of insightful audio podcasts, a 45-minute video, PowerPoint presentations that mirror key topics in the book, and other useful analytics resources." --Descripción del editor.
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| 650 |
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0 |
|a Web usage mining.
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| 650 |
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0 |
|a Internet users
|x Statistics
|x Data processing.
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| 650 |
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0 |
|a Internet marketing.
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| 650 |
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0 |
|a Web site development.
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| 650 |
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7 |
|a Uso de la minería de datos Web.
|2 UDESA
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| 650 |
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7 |
|a Usuarios de Internet
|x Estadísticas
|x Procesamiento de datos.
|2 UDESA
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| 650 |
|
7 |
|a Mercadeo por Internet.
|2 UDESA
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| 650 |
|
7 |
|a Sitios en Internet
|x Desarrollo.
|2 UDESA
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| 830 |
|
0 |
|a Serious skills
|