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Christine Kaufmann, Samanta Ciannamea, Jinsu Jacob, Serena Savarise, Gregory Papadopoulos, Julia Petruchik New Media For Tourism Communication MT 2008-2010.

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Presentation on theme: "Christine Kaufmann, Samanta Ciannamea, Jinsu Jacob, Serena Savarise, Gregory Papadopoulos, Julia Petruchik New Media For Tourism Communication MT 2008-2010."— Presentation transcript:

1 Christine Kaufmann, Samanta Ciannamea, Jinsu Jacob, Serena Savarise, Gregory Papadopoulos, Julia Petruchik New Media For Tourism Communication MT 2008-2010 Prof. Cantoni 03.12.2008

2 4th Pillar USERSUSERS Personalization Understanding who is using my service

3 Personalization In tourism business we need to find out information about users in order to offer them personalized services.

4 Personalization An example is Mappy (www.mappy.it),www.mappy.it where users can create a personal trip based on their needs:   Itineraries   Type of vehicle   Calculate the expenses   Send e-mails, print, save and customize

5 How do we get information?

6 Who is using my service Webserver Webserver  keeps information of what is happening in the website  produces a log file Software analyser Software analyser  tool that reads and analyses all the log files written by the webserver (e.g. Google analytics, Click tracks) by the webserver (e.g. Google analytics, Click tracks)

7 Google Analytics

8 What kind of information? Number of visits Number of visits  each access to the webpage from the same IP number without interruption no longer than 20 minutes (Session) Number of visitors Number of visitors  single visitor of each page https://www.google.com/analytics/reporting/?reset=1&id=11653416&scid=3865334

9 Number of page views Number of page views  access to a page: useful to improve your website (e.g. least visited page: more links, put it in a prominent position, use pop-up windows) Distribution of time access Distribution of time access  make hypothesis about when and where the users are surfing (e.g. office time, lunch break, leisure time): possibility to define your target (professional visitors, students, housewives, etc.) 7.0013.0018.00 Office Time https://www.google.com/analytics/reporting/?reset=1&id=11653416&scid=3865334

10 Bounce rate: Bounce rate:  how many people are leaving the website on that particular page (the last page before leaving) Map overlay: Map overlay:  geographical distribution of visitors (country ranking) Visitor loyalty: Visitor loyalty:  how many times the same people come back to the website (first timers, second timers, etc.) https://www.google.com/analytics/reporting/?reset=1&id=11653416&scid=3865334

11 Traffic sources: Traffic sources: 1. direct traffic: using the URL 2. referring sites: via backlinks 3. search engines: with key words Key words: Key words:  most used and searched https://www.google.com/analytics/reporting/?reset=1&id=11653416&scid=3865334

12 Google Analytics Advantage Free service: lot of information about users through an inferential activity you can redefine your objectives and improve your service Disadvantage In some countries: problem of privacy

13 Click tracks  www.clicktracks.com/ www.clicktracks.com/  E.g. www.silversea.com www.silversea.com Secured area: permits to make distinctions (visitors using secured area vs. new users)


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