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The Personalization Equation
   How the E-Commerce industry is using your information




                                                           productusp.com
Important Business
       Questions
1. How efficient is our web site in delivering
  information?

2. How do the users perceive the structure of
  the web site?

3. Can we predict the user's next visit?

4. Can we make our site meet user needs?

5. Can we increase user satisfaction?            superstock.com


6. Can we target specific groups of users and
  personalize web content for them?
Hall, C. (2001, April). THE Personalization = equation =.
(Cover story). Software Magazine, 21(2), 26.



                                                            ibm.com
“If I have 3 million customers on the Web, I should have 3
                    million stores on the web”

             - Jeff Bezos, CEO of Amazon.com
quot;Getting Personalquot; with Your Best Customers

Our Relationship Management solutions personalize
the entire online shopping experience, allowing
retailers to                     and
                                to present
assortments,                content, offers that reflect
their tastes and preferences, and relevant related items
for            and        opportunities.
Analysis and Segmentation
            Techniques
   Online Analytical Processing (OLAP):
    performs complex queries on the
    customer information store.

   Data Mining: applies pattern-
    matching, classification, and prediction
    algorithms to segment customers into
    categories.

   Statistical Tools: used to perform
    complex mathematical operations on
    data sets.                                 thomascheah.com
Analysis and Segmentation
           Techniques
 ClickstreamData: provides a detailed
  activity path that is generated when a user
  interacts with a website.

 Recommendation Systems
   Content-based Filtering: tracks the user's
     behavior and recommends similar items to
     those liked in the past.
   Collaborative Filtering: based on other users'
     ratings with similar preferences.
   Rule-based Filtering: asks the user questions
     and provides services tailored to his/her
     needs.                                          superstock.com
Customer Response to
                            Personalization
           57% of consumers would trade demographic information for
             personalized content.
              2006 eMarketer study

           77% of customers say they find product recommendations somewhat
             to extremely useful.
              Forrester survey

          • 59% of online shoppers would
              return to buy again if presented
              with special offers based on
              previous purchases.
              •DoubleClickPerformics survey




ana.net                                                                heatedmousepad.info
Privacy Concerns?
Dr. Amanda Reeve didn't know about data-miner
Choicepoint, but they know all about her... and you!

 http://www.youtube.com/watch?v=VrlO8WtZ-
              1Y&feature=channel




                                             getentrepreneurial.com
Discussion
 Have you ever noticed a website
  tailoring their site to you? Do you find
  this useful or disturbing?

 Do you believe that website
  personalization brings up privacy
  concerns?

 What do you see as the future of
  website personalization?
                                             corbis.com

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Com300 Ecommerce

  • 1. The Personalization Equation How the E-Commerce industry is using your information productusp.com
  • 2. Important Business Questions 1. How efficient is our web site in delivering information? 2. How do the users perceive the structure of the web site? 3. Can we predict the user's next visit? 4. Can we make our site meet user needs? 5. Can we increase user satisfaction? superstock.com 6. Can we target specific groups of users and personalize web content for them?
  • 3. Hall, C. (2001, April). THE Personalization = equation =. (Cover story). Software Magazine, 21(2), 26. ibm.com
  • 4. “If I have 3 million customers on the Web, I should have 3 million stores on the web” - Jeff Bezos, CEO of Amazon.com
  • 5.
  • 6. quot;Getting Personalquot; with Your Best Customers Our Relationship Management solutions personalize the entire online shopping experience, allowing retailers to and to present assortments, content, offers that reflect their tastes and preferences, and relevant related items for and opportunities.
  • 7. Analysis and Segmentation Techniques  Online Analytical Processing (OLAP): performs complex queries on the customer information store.  Data Mining: applies pattern- matching, classification, and prediction algorithms to segment customers into categories.  Statistical Tools: used to perform complex mathematical operations on data sets. thomascheah.com
  • 8. Analysis and Segmentation Techniques  ClickstreamData: provides a detailed activity path that is generated when a user interacts with a website.  Recommendation Systems  Content-based Filtering: tracks the user's behavior and recommends similar items to those liked in the past.  Collaborative Filtering: based on other users' ratings with similar preferences.  Rule-based Filtering: asks the user questions and provides services tailored to his/her needs. superstock.com
  • 9. Customer Response to Personalization  57% of consumers would trade demographic information for personalized content.  2006 eMarketer study  77% of customers say they find product recommendations somewhat to extremely useful.  Forrester survey • 59% of online shoppers would return to buy again if presented with special offers based on previous purchases. •DoubleClickPerformics survey ana.net heatedmousepad.info
  • 10. Privacy Concerns? Dr. Amanda Reeve didn't know about data-miner Choicepoint, but they know all about her... and you! http://www.youtube.com/watch?v=VrlO8WtZ- 1Y&feature=channel getentrepreneurial.com
  • 11. Discussion  Have you ever noticed a website tailoring their site to you? Do you find this useful or disturbing?  Do you believe that website personalization brings up privacy concerns?  What do you see as the future of website personalization? corbis.com