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Slide 1
My Journey to WAA BOD
• My background
   – MBA, Univ. of Michigan, 2002-2004
   – Pricing Analyst, Dell consumer, 2004-2006
   – Senior Marketing Consultant, Dell public segments, 2006-2008
   – Senior Web Analyst, Dell consumer online, Aug. 2008-
• The seed planted in Oct. 08 in DC
• Bryan Eisenberg sent me an email…
• Run the campaign with social media
   – Linkedin, Blog, WAA interview
   – Support from colleagues, friends and families
• “Underdog” theory proves to be true
• It’s a commitment, rather than recognition; after all, WAA
  is a member/volunteer driven non-profit organization

                                                                Slide 2
WAA Vision
The leading authority of excellence in digital
marketing measurement.


              WAA Mission
The Web Analytics Association leads and
supports the members by providing quality
education, developing standards and best
practices, conducting research and advocating
for issues that advance the industry

                                                 Slide 3
Strategic Priority

•Education
•Research
•Standards
•Membership
•Globalization


       Tell Us What You Need!
                                Slide 4
WAA Membership

• Three types: professional ($199), academic
  ($39) and corporate ($3K-$6K)
• Benefits varies but include
  –   Discounts to Industry Events & Conference
  –   Networking Opportunities
  –   Ground-floor Involvement
  –   Continuing Education
• More member exclusive benefits yet to
  come

       Join WAA Membership Now!
                                                  Slide 5
Join a Committee/SIG and
     Participate Now!
                           Slide 6
eMetrics Summit
   May 3-7, 2009, San Jose



     Network
      Learn
     Optimize

                             Slide 7
Competing on Web Analytics…a
      repeating theme
• Depends on operation interpretation and
  visualization, not data collection and
  reporting
• Managed globally for all processes and
  functions, not departmentally or in silos
• Requires continual monitoring and
  response based on observed changes, not
  episodic changes and re-engineering
• Powered by people and process, not just
  technology

                                          Slide 9
Web Analytics Maturity
                                                                                     5. Competing on analytics
                                                                                     4. Culture
                                                                   Management        3. Senior management
                                                                                     2. Director
                                                                           5         1. A project
                                                                                     0. No champion

                               Tools                                       4
                                                                                                                 Objectives
                             Strategic .5                                  3                                  5. Competing on analytics
                                 CRM .4
                                                                                                              4. Business Optimization
                           eMarketing .3
                                                                                                              3. eBusiness Optimization
                 Behavior Optimization .2                                  2                                  2. eMarketing Optimization
                          Web metrics .1
                                                                                                              1. Request list
                     No web analytics .0
                                                                                                              0. Undefined
                                                                           1




                    Methodology
                                                                                                                  Scope
                        Agile approach .5
             Agile methodology (online) .4
       Continuous improvement process .3
                                                                                                               5. Competing on analytics
               Department/team metho .2
                                                                                                               4. Online ecosystem
                         Analyst’s own .1
                                                                                                               3. Single website
                       No methodology .0
                                                                                                               2. Specific online activity/sector
                                                                                                               1. HiPPO
                                                                                                               0. Improvisation
                                     Experienced/multidisciplinary .5
                                                 Multidisciplinary .4
                                                                        Resources
                                                Distributed team .3
                                                   Single analyst .2
                                                Project approach .1
                                         No dedicated resources .0
Dell Confidential                                                                   Copyright (c) 2009, Stéphane Hamel, immeria.net, All rights reserved. shamel@immeria.net
Tools Maturity
                                                                                                                                           Level 5
                                                                                                               Level 4                     Corporate
                                                                                                                                          Performance
                                                                           Level 3                                                        Management
                                       Level 2                                                                  CRM                   • Multichannel
    Level 1                                                                                                                             sales report
                                                                         E-Marketing                                                  • Activity-based
                                                                                                        • Multichannel
                                      Behavior                                                                                          costing
                                                                                                          aggregation
                                     Optimization                                                                                     • Balanced
                                                                    • Merchandising                     • Cost-shifting
   Web Metrics                                                                                                                          scorecards
                                                                                                          analysis
                                                                    • Segmentation
                                 • Path analysis                                                                                      • Strategic
                                                                                                        • Lifetime value
                                                                    • Search Engine
                                 • Funnel reports                                                                                       planning
• Visitors, Visits,                                                   Optimization                      • Personalization
                                 • A/B testing
  Page Views                                                                                                                          • Predictive
                                                                    • Campaign                          • Analytics based
                                                                                                                                        Analytics
                                 • Key Performance
• Top 10’s                                                            Optimization                        content serving
                                   Indicators
• Demographic                                                       • Personas                          • Process analytics
                                 • Dashboards                                                                                               Strategic Web
• Technographics                                                                                          (decision support)
                                                                    • KPI alerts
• Top entry/exit
                                                           330° view of customer (30° of privacy)
• Performance
• Capacity
                                          Optimize the channel
• Security
                    Business driven, working on metrics, accuracy and process
IT driven, “feel good” information, few decisions, minimal value



                                                                                    Copyright (c) 2009, Stéphane Hamel, immeria.net, All rights reserved. shamel@immeria.net
                                                                                                                                                      Slide 11
      Adapted rfom Bill Gassman, Industry Analyst, Gartner, presented at eMetrics Summit 2007, San Francisco
Web Analytics 2.0

• With the proliferation of rich media, social network
 and mobile devices, measuring “total reach”
 becomes increasingly complex and “page centric”
 web analytics application often misses the big picture

• Companies like eBay, Nokia, MTV etc. have defined
 their strategy and process to overcome such
 challenges

• Invest in Technology / Process / People



                                                     Slide 12
                                      5/13/2009                 12
Web Analytics Strategy in Large Enterprise
• Nokia: Greg Dowling, Head of Analysis
  • OVI consumer brand: Music, Games, Media, Messaging, and Social
    Location
  • Mobile site vs. Fixed Site vs. Mobile Client
  • A combination of image tags, API and Cookie; capturing userID and using
    Omniture to aggregate and build a single view of all customer interactions


• Ebay: Deepak Nadig, Distinguished Architect
  • Complex interaction model beyond pages: tab, AJAX, mouse over, social
    networks, flash, desktop clients, APIs, Wii
  • Evolved its analytics infrastructure to support the new interaction
    paradigms


• MTV networks: Shari Cleary and Valeria Salley, Director of Digital
 Research
 • Viral, social, partners; digital, TV, console, mobile
 • Web analytics + consumer insights = strategic decision
                                                                          Slide 13
                                                      5/13/2009                      13
Customer Centricity—Just Let Them Book
for the Love of God
• Joe Megibow, VP, Global Analytics and Optimization,
 Expedia
  • Customer Voice and Customer Experience – How to Listen, Learn
   and Provide What Your Customers Really Want
• Solution
  • Technology: Omniture, Foresee, Opinion Labs, Tealeaf
  • Process: weekly meetings / execs briefings
  • People: dedicated team of web analysts, developers and customer
   advocates
• Overall results
  • Substantial increase in conversion in removing customer issues
    and improving process flows
  • Tons of good will in response to customer issues
  • Winning cultural shift inside the company
                                                                Slide 14
                                              5/13/2009                    14
Key Takeaways

5. Join WAA, grow the community and grow yourself
4. Attend eMetrics Summit if you can; if not, take
    advantage of any events like WAW, Webinars etc.
3. Don’t become reporting squirrel; connecting dots
    and driving actionable insights
2. Focus on three things: revenue, cost or customer
    experience
1. Think big but start small: little changes can have
    large impact


        Become a Super Web Analyst!
                                                   Slide 15
Contact

• Ed Wu, Senior Web Analyst, Dell Consumer Online;
 Director, Web Analytics Association

• ewu@webanalyticsassociation.org
• http://twitter.com/ed_wu
• http://www.linkedin.com/in/edwu06
• www.superwebanalyst.net




                                                Slide 16

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My Journey to Become a WAA Board Member

  • 2. My Journey to WAA BOD • My background – MBA, Univ. of Michigan, 2002-2004 – Pricing Analyst, Dell consumer, 2004-2006 – Senior Marketing Consultant, Dell public segments, 2006-2008 – Senior Web Analyst, Dell consumer online, Aug. 2008- • The seed planted in Oct. 08 in DC • Bryan Eisenberg sent me an email… • Run the campaign with social media – Linkedin, Blog, WAA interview – Support from colleagues, friends and families • “Underdog” theory proves to be true • It’s a commitment, rather than recognition; after all, WAA is a member/volunteer driven non-profit organization Slide 2
  • 3. WAA Vision The leading authority of excellence in digital marketing measurement. WAA Mission The Web Analytics Association leads and supports the members by providing quality education, developing standards and best practices, conducting research and advocating for issues that advance the industry Slide 3
  • 5. WAA Membership • Three types: professional ($199), academic ($39) and corporate ($3K-$6K) • Benefits varies but include – Discounts to Industry Events & Conference – Networking Opportunities – Ground-floor Involvement – Continuing Education • More member exclusive benefits yet to come Join WAA Membership Now! Slide 5
  • 6. Join a Committee/SIG and Participate Now! Slide 6
  • 7. eMetrics Summit May 3-7, 2009, San Jose Network Learn Optimize Slide 7
  • 8. Competing on Web Analytics…a repeating theme • Depends on operation interpretation and visualization, not data collection and reporting • Managed globally for all processes and functions, not departmentally or in silos • Requires continual monitoring and response based on observed changes, not episodic changes and re-engineering • Powered by people and process, not just technology Slide 9
  • 9. Web Analytics Maturity 5. Competing on analytics 4. Culture Management 3. Senior management 2. Director 5 1. A project 0. No champion Tools 4 Objectives Strategic .5 3 5. Competing on analytics CRM .4 4. Business Optimization eMarketing .3 3. eBusiness Optimization Behavior Optimization .2 2 2. eMarketing Optimization Web metrics .1 1. Request list No web analytics .0 0. Undefined 1 Methodology Scope Agile approach .5 Agile methodology (online) .4 Continuous improvement process .3 5. Competing on analytics Department/team metho .2 4. Online ecosystem Analyst’s own .1 3. Single website No methodology .0 2. Specific online activity/sector 1. HiPPO 0. Improvisation Experienced/multidisciplinary .5 Multidisciplinary .4 Resources Distributed team .3 Single analyst .2 Project approach .1 No dedicated resources .0 Dell Confidential Copyright (c) 2009, Stéphane Hamel, immeria.net, All rights reserved. shamel@immeria.net
  • 10. Tools Maturity Level 5 Level 4 Corporate Performance Level 3 Management Level 2 CRM • Multichannel Level 1 sales report E-Marketing • Activity-based • Multichannel Behavior costing aggregation Optimization • Balanced • Merchandising • Cost-shifting Web Metrics scorecards analysis • Segmentation • Path analysis • Strategic • Lifetime value • Search Engine • Funnel reports planning • Visitors, Visits, Optimization • Personalization • A/B testing Page Views • Predictive • Campaign • Analytics based Analytics • Key Performance • Top 10’s Optimization content serving Indicators • Demographic • Personas • Process analytics • Dashboards Strategic Web • Technographics (decision support) • KPI alerts • Top entry/exit 330° view of customer (30° of privacy) • Performance • Capacity Optimize the channel • Security Business driven, working on metrics, accuracy and process IT driven, “feel good” information, few decisions, minimal value Copyright (c) 2009, Stéphane Hamel, immeria.net, All rights reserved. shamel@immeria.net Slide 11 Adapted rfom Bill Gassman, Industry Analyst, Gartner, presented at eMetrics Summit 2007, San Francisco
  • 11. Web Analytics 2.0 • With the proliferation of rich media, social network and mobile devices, measuring “total reach” becomes increasingly complex and “page centric” web analytics application often misses the big picture • Companies like eBay, Nokia, MTV etc. have defined their strategy and process to overcome such challenges • Invest in Technology / Process / People Slide 12 5/13/2009 12
  • 12. Web Analytics Strategy in Large Enterprise • Nokia: Greg Dowling, Head of Analysis • OVI consumer brand: Music, Games, Media, Messaging, and Social Location • Mobile site vs. Fixed Site vs. Mobile Client • A combination of image tags, API and Cookie; capturing userID and using Omniture to aggregate and build a single view of all customer interactions • Ebay: Deepak Nadig, Distinguished Architect • Complex interaction model beyond pages: tab, AJAX, mouse over, social networks, flash, desktop clients, APIs, Wii • Evolved its analytics infrastructure to support the new interaction paradigms • MTV networks: Shari Cleary and Valeria Salley, Director of Digital Research • Viral, social, partners; digital, TV, console, mobile • Web analytics + consumer insights = strategic decision Slide 13 5/13/2009 13
  • 13. Customer Centricity—Just Let Them Book for the Love of God • Joe Megibow, VP, Global Analytics and Optimization, Expedia • Customer Voice and Customer Experience – How to Listen, Learn and Provide What Your Customers Really Want • Solution • Technology: Omniture, Foresee, Opinion Labs, Tealeaf • Process: weekly meetings / execs briefings • People: dedicated team of web analysts, developers and customer advocates • Overall results • Substantial increase in conversion in removing customer issues and improving process flows • Tons of good will in response to customer issues • Winning cultural shift inside the company Slide 14 5/13/2009 14
  • 14. Key Takeaways 5. Join WAA, grow the community and grow yourself 4. Attend eMetrics Summit if you can; if not, take advantage of any events like WAW, Webinars etc. 3. Don’t become reporting squirrel; connecting dots and driving actionable insights 2. Focus on three things: revenue, cost or customer experience 1. Think big but start small: little changes can have large impact Become a Super Web Analyst! Slide 15
  • 15. Contact • Ed Wu, Senior Web Analyst, Dell Consumer Online; Director, Web Analytics Association • ewu@webanalyticsassociation.org • http://twitter.com/ed_wu • http://www.linkedin.com/in/edwu06 • www.superwebanalyst.net Slide 16