Web Analytics: An Hour A Day (W/Cd)

Wiley India Pvt. Limited, 18 jun. 2007 - 480 pagina's
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Written by an in-the-trenches practitioner, this step-by-step guide shows you how to implement a successful Web analytics strategy. Web analytics expert Avinash Kaushik, in his thought-provoking style, debunks leading myths and leads you on how to gain actionable insights from your analytics efforts. It also tells how to move beyond click stream 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.∑ A Brief History Of Web Analytics ∑ Current Landscape And Challenges ∑ Traditional Web Analytics Is Dead ∑ What Web Analytics Should Be ∑ Understanding The Data Landscape ∑ Clickstream Data ∑ Outcomes Data ∑ Research Data ∑ Competitive Data ∑ The Essence Of Customer Centricity ∑ Lab Usability Testing ∑ Heuristic Evaluations ∑ Site Visits (Follow-Me-Home Studies) ∑ Surveys (Questionnaires) ∑ Summary ∑ Focus On Customer Centricity ∑ Solve For Business Questions ∑ Follow The 10/90 Rule ∑ Hire Great Web Analysts ∑ Identify Optimal Organizational Structure And Responsibilities ∑ 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 ∑ 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 ∑ 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 ∑ 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 ∑ Week 1: Email Marketing Fundamentals And A Bit More ∑ Week 2: Email Marketing-Advanced Tracking ∑ Weeks 3 And 4: Multichannel Marketing, Tracking, And Analysis ∑ 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 ∑ 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 ∑ Competitive Intelligence Analytics ∑ Web 20 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 ∑ 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 ∑ 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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