Web Analytics Software to Predict the Behavior of Website Visitors<br />Constantine J. Aivalis<br />Technological Educatio...
Content<br />Introduction<br />The Problem<br />The Solution<br />Architecture<br />Functionality<br />DBMS<br />Results<b...
Introduction<br />WWW is today's  common business platform.<br />E-Commerce infrastructure must be reliable, robust and sc...
The Problem<br />E-shops often operate in “blind folded” fashion.<br />Only successful sales transactions are visible to t...
The Solution<br />Parsing and “cleaning” log files. Extraction and transfer into a DBMS. Information Generation.<br />Cros...
Architecture<br />25/9/2011<br />6<br />Web Analytics Software to Predict the Behavior of Website Visitors<br />
Functionality<br />25/9/2011<br />7<br />Web Analytics Software to Predict the Behavior of Website Visitors<br />
DBMS<br />25/9/2011<br />8<br />Web Analytics Software to Predict the Behavior of Website Visitors<br />
Results<br />Visitor Behavioral Analysis (including non registered visitors)<br />Dynamical generation of various statisti...
Customer Behavioral Model Graph <br />10<br />25/9/2011<br />Web Analytics Software to Predict the Behavior of Website Vis...
Measurements<br />25/9/2011<br />11<br />Web Analytics Software to Predict the Behavior of Website Visitors<br />
Measurements<br />Order Values/Numbers  <br />Visits  <br />Time spent per product or service<br />Accesses per product or...
Future Research<br />Analysis of bots and their search engine behavior concerning e-shops.<br />Recognition of anonymous b...
Thank You<br />Constantine Aivalis<br />costis.aivalis@gmail.com<br />25/9/2011<br />Web Analytics Software to Predict the...
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Costis Aivalis Web analytics Software IFITT Greece Hilton Athens Sept 2011

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Costis Aivalis Web analytics Software IFITT Greece Hilton Athens Sept 2011

  1. 1. Web Analytics Software to Predict the Behavior of Website Visitors<br />Constantine J. Aivalis<br />Technological Education Institute of Crete<br />University of Peloponnese <br />costis.aivalis@gmail.com<br />
  2. 2. Content<br />Introduction<br />The Problem<br />The Solution<br />Architecture<br />Functionality<br />DBMS<br />Results<br />Customer Behavioral Model Graph<br />Measurements <br />Future Work<br />Applications<br />Conclusion<br />25/9/2011<br />2<br />Web Analytics Software to Predict the Behavior of Website Visitors<br />
  3. 3. Introduction<br />WWW is today's common business platform.<br />E-Commerce infrastructure must be reliable, robust and scalable.<br />Web systems produce huge amounts of user activity data that are often unused.<br />User activity data must be converted to information.<br />Intelligent Customer classification allows better customized services.<br />25/9/2011<br />3<br />Web Analytics Software to Predict the Behavior of Website Visitors<br />
  4. 4. The Problem<br />E-shops often operate in “blind folded” fashion.<br />Only successful sales transactions are visible to the administration and management.<br />Most e-Commerce systems have no built-in performance measuring mechanisms.<br />Only registered-customer actions are taken into consideration. Visitor majority may not be customers yet. Their behavior has to be analyzed in order to make them.<br />Access log files include all interaction data details.<br />Manual access log file scrutinizing is too inconvenient to be performed on regular basis.<br />25/9/2011<br />4<br />Web Analytics Software to Predict the Behavior of Website Visitors<br />
  5. 5. The Solution<br />Parsing and “cleaning” log files. Extraction and transfer into a DBMS. Information Generation.<br />Cross correlation of log file and e-Commerce site data for seamless integration.<br />Anonymous and registered visitor hits can be analyzed through their IP-addresses.<br />Crawlers and Web-Bots can be recognized via IP-address and their behavioral patterns.<br />Implementation of a software tool that directly measures the operational performance of the e-shop in nearly real time.<br />25/9/2011<br />5<br />Web Analytics Software to Predict the Behavior of Website Visitors<br />
  6. 6. Architecture<br />25/9/2011<br />6<br />Web Analytics Software to Predict the Behavior of Website Visitors<br />
  7. 7. Functionality<br />25/9/2011<br />7<br />Web Analytics Software to Predict the Behavior of Website Visitors<br />
  8. 8. DBMS<br />25/9/2011<br />8<br />Web Analytics Software to Predict the Behavior of Website Visitors<br />
  9. 9. Results<br />Visitor Behavioral Analysis (including non registered visitors)<br />Dynamical generation of various statistics<br />Graph generation<br />Tendency Forecasts<br />Data Mining Possibilities<br />Exception Reports<br />Measurements and e-shop performance comparison<br />Time Period performance analysis<br />25/9/2011<br />9<br />Web Analytics Software to Predict the Behavior of Website Visitors<br />
  10. 10. Customer Behavioral Model Graph <br />10<br />25/9/2011<br />Web Analytics Software to Predict the Behavior of Website Visitors<br />
  11. 11. Measurements<br />25/9/2011<br />11<br />Web Analytics Software to Predict the Behavior of Website Visitors<br />
  12. 12. Measurements<br />Order Values/Numbers <br />Visits <br />Time spent per product or service<br />Accesses per product or service<br />Orders per Product or service<br />Bots visited<br />Visitors<br />Uncompleted ordering sessions<br />Profitable customer groups<br />Profitable products or services<br />Overall profits<br />Promotion impact<br />25/9/2011<br />Web Analytics Software to Predict the Behavior of Website Visitors<br />12<br />
  13. 13. Future Research<br />Analysis of bots and their search engine behavior concerning e-shops.<br />Recognition of anonymous bots and spiders through their access patterns.<br />Customer rating and evaluation application based on non purchase behavior.<br />Agent implementation in order to automatically promote the rank of less sought for products.<br />Methodology for RIAs <br />25/9/2011<br />Web Analytics Software to Predict the Behavior of Website Visitors<br />13<br />
  14. 14. Thank You<br />Constantine Aivalis<br />costis.aivalis@gmail.com<br />25/9/2011<br />Web Analytics Software to Predict the Behavior of Website Visitors<br />14<br />
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