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“Lots of companies have spent lots of time and money collecting data—and sadly do little with it. In Web Analytics 2.0, Avinash Kaushik helps us grasp the importance of this underused resource and shows us how...
“Lots of companies have spent lots of time and money collecting data—and sadly do little with it. In Web Analytics 2.0, Avinash Kaushik helps us grasp the importance of this underused resource and shows us how to make the most of online data and experimentation.”
—Dan Ariely, Professor of Behavioral Economics, Duke University, and author of Predictably Irrational
“Kaushik takes the witchcraft out of analytics. If venture capitalists read this book, they would fire half of the CEOs that they've funded.”
—Guy Kawasaki, Co-founder of Alltop & Garage Technology Ventures
“When people ask, ‘who is the smartest guy in the room when it comes to online marketing?’ only one name comes to mind: Avinash Kaushik. His new book Web Analytics 2.0 should be on every marketer’s desk. It’s powerful, awesome and actionable.”
—Mitch Joel, President of Twist Image & author of Six Pixels of Separation
Shift to Data-Driven Decision Making and Leverage the Complete Power of All Web Data
The Web, online marketing, and advertising have been revolutionized in the last few years, yet the approach to using data has remained largely the same as a decade ago. Web analytics thought leader Avinash Kaushik presents the next-generation framework of web analytics in this exciting book that will dramatically enhance the ability of your organization to think smart and move fast.
In this book, Avinash lays out specific strategies and execution models to evolve from simply leveraging clickstream tools to incorporating the insightful elixir of qualitative data, experimentation and testing, and competitive intelligence tools.
While expanding upon the industry-shaping lessons from his bestselling book Web Analytics: An Hour a Day, Avinash explains how to measure, analyze, and act upon today's quickly evolving web technologies and trends—including social media, video, mobile, and online user-centric design options. As he updates traditional approaches, Avinash debunks myths, identifies traps, and reveals specific, simple and advanced methodologies to transform your thinking, making this book the ultimate guide for all web professionals.
Chapter 1 The Bold New World of Web Analytics 2.0.
State of the Analytics Union.
State of the Industry.
Rethinking Web Analytics: Meet Web Analytics 2.0.
Change: Yes We Can!
Chapter 2 The Optimal Strategy for Choosing Your Web Analytics Soul Mate.
Predetermining Your Future Success.
Step 1: Three Critical Questions to Ask Yourself Before You Seek an Analytics Soul Mate!
Q1: "Do I want reporting or analysis?"
Q2: "Do I have IT strength, business strength, or both?"
Q3: "Am I solving just for Clickstream or for Web Analytics 2.0?"
Step 2: Ten Questions to Ask Vendors Before You Marry Them.
Q1: "What is the difference between your tool/solution and free tools from Yahoo! and Google?"
Q2: "Are you 100 percent ASP, or do you offer a software version? Are you planning a software version?"
Q3: "What data capture mechanisms do you use?"
Q4: "Can you calculate the total cost of ownership for your tool?"
Q5: "What kind of support do you offer? What do you include for free, and what costs more? Is it free 24/7?"
Q6: "What features in your tool allow me to segment the data?"
Q7: "What options do I have for exporting data from your system into our company's system?"
Q8: "What features do you provide for me to integrate data from other sources into your tool?"
Q9: "Can you name two new features/tools/acquisitions your company is cooking up to stay ahead of your competition for the next three years?"
Q10: "Why did the last two clients you lost cancel their contracts? Who are they using now? May we call one of these former clients?"
Comparing Web Analytics Vendors: Diversify and Conquer.
The Three-Bucket Strategy.
Step 3: Identifying Your Web Analytics Soul Mate (How to Run an Effective Tool Pilot) .
Step 4: Negotiating the Prenuptials: Check SLAs for Your Web Analytics Vendor Contract.
Chapter 3 The Awesome World of Clickstream Analysis: Metrics.
Standard Metrics Revisited: Eight Critical Web Metrics.
Web Metrics Demystified.
Strategically-aligned Tactics for Impactful Web Metrics.
Chapter 4 The Awesome World of Clickstream Analysis: Practical Solutions.
A Web Analytics Primer.
The Best Web Analytics Report.
Foundational Analytical Strategies.
Everyday Clickstream Analyses Made Actionable.
Reality Check: Perspectives on Key Web Analytics Challenges.
Chapter 5 The Key to Glory: Measuring Success.
Focus on the "Critical Few".
Five Examples of Actionable Outcome KPIs.
Moving Beyond Conversion Rates.
Measuring Macro and Micro Conversions.
Quantifying Economic Value .
Measuring Success for a Non-ecommerce Website.
Measuring B2B Websites.
Chapter 6 Solving the “Why” Puzzle: Leveraging Qualitative Data.
Lab Usability Studies: What, Why, and How Much?
Usability Alternatives: Remote and Online Outsourced.
Surveys: Truly Scalable Listening.
Web-Enabled Emerging User Research Options.
Chapter 7 Failing Faster: Unleashing the Power of Testing and Experimentation.
A Primer on Testing Options: A/B and MVT.
Actionable Testing Ideas.
Controlled Experiments: Step Up Your Analytics Game!
Creating and Nurturing a Testing Culture.
Tip 1: Your First Test is "Do or Die".
Tip 2: Don't Get Caught in the Tool/Consultant Hype.
Tip 3: "Open the Kimono"—Get Over Yourself.
Tip 4: Start with a Hypothesis.
Tip 5: Make Goals Evaluation Criteria and Up-Front Decisions.
Tip 6: Test For and Measure Multiple Outcomes.
Tip 7: Source Your Tests in Customer Pain.
Tip 8: Analyze Data and Communicate Learnings.
Tip 9: Two Must-Haves: Evangelism and Expertise.
Chapter 8 Competitive Intelligence Analysis.
CI Data Sources, Types, and Secrets.
Website Traffic Analysis.
Search and Keyword Analysis.
Audience Identification and Segmentation Analysis.
Chapter 9 Emerging Analytics: Social, Mobile, and Video.
Measuring the New Social Web: The Data Challenge.
Analyzing Offline Customer Experiences (Applications).
Analyzing Mobile Customer Experiences.
Measuring the Success of Blogs.
Quantifying the Impact of Twitter.
Analyzing Performance of Videos.
Chapter 10 Optimal Solutions for Hidden Web Analytics Traps.
Accuracy or Precision?
A Six-Step Process for Dealing with Data Quality.
Building the Action Dashboard.
Nonline Marketing Opportunity and Multichannel Measurement.
The Promise and Challenge of Behavior Targeting.
Online Data Mining and Predictive Analytics: Challenges.
Path to Nirvana: Steps Toward Intelligent Analytics Evolution.
Step 1: Tag, Baby, Tag!
Step 2: Configuring Web Analytics Tool Settings.
Step 3: Campaign/Acquisition Tracking.
Step 4: Revenue and Uber-intelligence.
Step 5: Rich-Media Tracking (Flash, Widgets, Video).
Chapter 11 Guiding Principles for Becoming an Analysis Ninja.
Context Is Queen.
Comparing KPI Trends Over Time.
Beyond the Top 10: What’s Changed.
True Value: Measuring Latent Conversions and Visitor Behavior.
Four Inactionable KPI Measurement Techniques.
Search: Measuring the Value of Upper Funnel Keywords.
Search: Advanced Pay-per-Click Analyses.
Chapter 12 Advanced Principles for Becoming an Analysis Ninja.
Multitouch Campaign Attribution Analysis.
Multichannel Analytics: Measurement Tips for a Nonline World.
Chapter 13 The Web Analytics Career.
Planning a Web Analytics Career: Options, Salary Prospects, and Growth.
Cultivating Skills for a Successful Career in Web Analysis.
An Optimal Day in the Life of an Analysis Ninja.
Hiring the Best: Advice for Analytics Managers and Directors.
Chapter 14 HiPPOs, Ninjas, and the Masses: Creating a Data-Driven Culture.
Transforming Company Culture: How to Excite People About Analytics.
Deliver Reports and Analyses That Drive Action.
Changing Metric Definitions to Change Cultures: Brand Evangelists Index.
Slay the Data Quality Dragon: Shift from Questioning to Using Data.
Five Rules for Creating a Data-Driven Boss.
Need Budget? Strategies for Embarrassing Your Organization.
Strategies to Break Down Barriers to Web Measurement.
Who Owns Web Analytics?
Appendix About the Companion CD.
Posted January 6, 2010
So read this book & it literally changed my life. I get it: segment, test, experiment (or die!!) :)
I highly recommend this book for those seeking a clear cut way to improve website performance and online marketing.
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Posted February 26, 2010
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