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Knowing everything you can about each click to your Web site can help you make strategic decisions regarding your business. This book is about the why, not just the how, of web analytics and the rules for developing a "culture of analysis" inside your organization. Why you should collect various types of data. Why you need a strategy. Why it must remain flexible. Why your data must generate meaningful action. The authors answer these critical questions--and many more--using their decade of experience in Web analytics.
Autorentext
Jason Burby is Chief Analytics and Optimization Officer for
ZAAZ, Inc., a web design and analytics consulting firm. His clients
have included eTrade, Ford, Sony, PayPal/eBay, Washington Mutual,
Reuters, T-Mobile, Levi Strauss, and Microsoft.
Shane Atchison, co-founder and CEO of ZAAZ, Inc., leads
its long-term strategic vision of helping companies realize the
potential of the Internet and its impact on their business. Among
his client list have been Converse, Sony, Ford, Microsoft, and
National Geographic.
Klappentext
Getting ROI from the Web Is Everyone's Job
Right now someone is clicking on your website, and knowing everything you can about those clicks and the people that make them is a business imperative. That's the first of a set of compelling business lessons distilled from the authors' decade of experience with the world's most powerful online brands. These lessons help executives, marketers, web managers, designers, and developers take action based on the actual behavior of site visitors.
This book is about the why, not just the how, of web analytics and the rules for developing a "culture of analysis" inside your organization. Why you should collect various types of data. Why you need a strategy. Why it must remain flexible. Why your data must generate meaningful action. Inside you'll learn to demonstrate real ROI from your website.
Ask the right questions when planning your website
Recognize how your data reflects the perceptions of your customers, information on your competitors, and your marketing costs
Develop criteria for choosing an agency to help you interpret your data
Discover how successful your marketing efforts have been
Create a culture of analysis within your organization
"Relationship marketing continues to evolve in new and exciting ways, and Actionable Web Analytics provides a clear and concise guidebook for the marketing executive. Burby and Atchison have captured the essence of creating relationships online, which lead to meaningful customer dialogues, and then measuring the success of those efforts."
Lester Wunderman, Founder and Chairman Emeritus, Wunderman
"We have been fortunate enough during the past decade to see our business grow in parallel with and in partnership with the team at ZAAZ. As true thought leaders in the web analytics and marketing space, Burby and Atchison have captured the important issues facing marketers and business people every day and explained them eloquently in Actionable Web Analytics."
Josh James, CEO and Co-Founder, Omniture
"Burby and Atchison have spent close to a decade helping a wide variety of companies optimize their advertising spend, supersize their website value, and maximize their online marketing ROI. These guys are in an amazing position to help you figure out all of the above. But that's just the half of it. While their position is nice, their scary IQ, their awesome curiosity, and their uncanny ability to drill down to bona fide business value make this book a must read."
Jim Sterne, President of the Web Analytics Association and Producer of Emetrics Summit
Inhalt
Foreword xv
Introduction xxvii
Part I The Changing Landscape of Marketing Online 1
Chapter 1 The Big Picture 3
New Marketing Trends 4
The Consumer Revolution 5
The Shift from Offline to Online Marketing 8
Instant Brand Building (and Destruction) 10
Rich Media and Infinite Variety 12
The Analysis Mandate 13
ROI Marketing 14
Innovation 15
Some Final Thoughts 16
Chapter 2 Performance Marketing 17
Data vs. Design 18
Web Design Today 18
The Web Award Fallacy 19
When Visual Design Goes Wrong 19
Where Data Goes Wrong 21
Performance-Driven Design: Balancing Logic and Creativity 22
Case Study: Dealing with Star Power 23
Case Study: Forget Marketing at All 24
Recap 25
Part II Shifting to a Culture of Analysis 27
Chapter 3 What Culture of Analysis Means 29
What Is a Data-Driven Organization? 30
Data-Driven Decision Making 31
Dynamic Prioritization 32
Perking Up Interest in Web Analytics 34
Establishing a Web Analytics Steering Committee 34
Starting Out Small with a Win 35
Empowering Your Employees 36
Managing Up 36
Impact on Roles beyond the Analytics Team 37
Cross-Channel Implications 40
Questionnaire: Rating Your Level of Data Drive 41
Recap 42
Chapter 4 Avoiding Stumbling Points 43
Do You Need an Analytics Intervention? 44
Analytics Intervention Step 1: Admitting the Problem 44
Analytics Intervention Step 2: Admit That You Are the Problem 46
Analytics Intervention Step 3: Agree That This Is a Corporate Problem 47
The Road to Recovery: Overcoming Real Gaps 48
Issue #1: Lack of Established Processes and Methodology 49
Issue #2: Failure to Establish Proper KPIs and Metrics 49
Issue #3: Data Inaccuracy 50
Issue #4: Data Overload 52
Issue #5: Inability to Monetize the Impact of Changes 53
Issue #6: Inability to Prioritize Opportunities 54
Issue #7: Limited Access to Data 54
Issue #8: Inadequate Data Integration 55
Issue #9: Starting Too Big 56
Issue #10: Failure to Tie Goals to KPIs 57
Issue #11: No Plan for Acting on Insight 58
Issue #12: Lack of Committed Individual and Executive Support 58
Recap 59
Part III Proven Formula for Success 61
Chapter 5 Preparing to Be Data-Driven 63
Web Analytics Methodology 64
The Four Steps of Web Analytics 65
Defining Business Metrics (KPIs) 65
Reports 66
Analysis 67
Optimization and Action 67
Results and Starting Again 68
Recap 68
Chapter 6 Defining Site Goals, KPIs, and Key Metrics 71
Defining Overall Business Goals 72
Defining Site Goals: The Conversion Funnel 73
Awareness 73
Interest 73
Consideration 74
Purchase 74
Website Goals and the Marketing Funnel 74
Understanding Key Performance Indicators (KPIs) 75
Constructing KPIs 76
Creating Targets for KPIs 79
Common KPIs for Different Site Types 80
E-Commerce 80
Lead Generation 82
Customer Service 83
Content Sites 85
Branding Sites 87
Recap 88
Chapter 7 Monetizing Site Behaviors 89
The Monetization Challenge 90
Case Study: Monetization and Motivation 90
Web-Monetization Models 93
Top 10 Ways Monetization Models Can Help Your Company 94
How to Create Monetization Models 95
Assembling a Monetization Model 97 Monetization Models for Different S...