Ebrf2009

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    1. Faceless seller and customer profiling on the Internet
      Outi-Maaria Palo-oja
      Presentation at EBRF on 24.9.2009
    2. 22.9.2009
      Faceless seller and customer profiling / Outi-Maaria Palo-oja
      2
      eTourismProfiler
      From log data analysis to customer profiling on the Internet
      To identify typical customer profiles and customer needs among the internet users
      This information is utilised in targeting marketing efforts according to customer profiles.
      The customer profiles are identified from the log file that is collected mainly from the travel web sites.
      Problem
      Partnering organisations identified that customers still tend to phone and book their trip
    3. Purpose
    4. Supplementary study on phone based profiling
      How sales personnel identify customer needs and typical profiles?
      What are the critical events during the sales talk?
      Could we simulate these events on the internet?
      Is it possible to utilise the phone conversation based profiles on the Internet?
      How internet marketing is adapted according to customer profiles?
      22.9.2009
      Faceless seller and customer profiling / Outi-Maaria Palo-oja
      4
    5. Data and Analysis
    6. Data and Analysis
      Data
      Call center in travel industry
      27 conversations between travel agent and buyer
      Video, screen capture, phone recording
      Analysis
      Video annotation through VICTOR
      Web based multi-user video annotation tool
      Time sensitive comments
      22.9.2009
      Faceless seller and customer profiling / Outi-Maaria Palo-oja
      6
    7. Multi-user video annotation
      22.9.2009
      Faceless seller and customer profiling / Outi-Maaria Palo-oja
      7
    8. Tentative findings
    9. Study in progress
      Seller provides alternative options to choose from
      Product placement on the Internet
      Byuing decision as an indicator about customer profile
      Customers who bought this, bought also…
      Age, gender, demographics as indicators
      How to know gender on the net?
      Content as indicator
      Referring sites, search terms, link paths
      22.9.2009
      Faceless seller and customer profiling / Outi-Maaria Palo-oja
      9
    10. More information on eTourismProfilerhttp://etourism.joensuu.fi
      www.uef.fi
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