click path ( clickstream ) is the sequence of hyperlinks on a given site, presented in the order viewed. [1] A visitor’s click through the website or a separate website, often a search engine results page, and it continues as a sequence of successive webpages visited by the user. [2] Click here to take a look at this article, and to search for sources, keywords , and / or referring domains, in order to capture data. [3]

Information Storage

While browsing the World Wide Web , a “user agent” ( web browser ) makes requests to another computer, known as a web server , every time the user selects a hyperlink . Most web servers store information about the sequence of links that a user “clicks through” while visiting the websites that they host in log files for the site operator’s benefit. Information webpages visited afterwards, webpage visited afterwards, webpage visited afterwards, etc. The information is most useful when the customer is identified by the customer’s Internet service provider(ISP). [4]

Privacy

As the world of online shopping grows, it is becoming easier for the privacy of individuals to become exploited. There are many cases of email addresses , phone numbers , and other personal information that have been stolen illegally from shoppers, customers, and many more to be used by third parties. These third parties can range from advertisers to hackers . There are consumers who are more likely to be affected by this problem, but are more likely to be poor. As the world of technology grows, consumers are more at risk of losing privacy. [5]

Applications

The growing e-commerce industry has made it necessary to tailor the needs and preferences of consumers. [6] Click path data can be used to personalize product offerings. By using previous click path data, websites can predict which products are likely to purchase. Click path data can contain information about the user ‘s goals, interests, and knowledge and can be used to predict their future actions and decisions. By using statistical models , websites can potentially increase their operating profits by streamlining results based on what is most likely to purchase. [7]

Opinions

Researchers who stand behind click on the path of the pathology of the pathology of the pathological process. Further click paths enable searchers to break down correlationsamong direct and indirect variables and spurious components. Finally, “pathways” helpers say “the most important pathways involved in predicting outcomes”. But even with these advantages the technique is still critiqued by many due to its large margin of error. The model must assume that each variable is “an exact manifestation of the theoretical concepts underlying them and reasonably free of measurable error”. Another “casualty in the hypothesized model is that the pathways of behavior or otherwise, otherwise the model can not be solved with ordinary least technical regression squares”. Lastly, because models are based on correlations, path analysis ” can not demonstrate causality or the direction of causal effects “. Due to these limitations, many believe that click path analysis tends to be a waste of time, money, and resources.[8]

Implications

Most websites store by click path. The information is typically used to improve the quality of life. [9] In addition, the data results can not be used by a designer to review, improve or redesign their website, but can also be used to model a user’s browsing behavior. [10] In the online world of e-commerce, information collected through the Internet; as a result, advertisers create more relevant advertising and efficiently spend advertising dollars. [11] Meanwhile, in the wrong hands click on the image of a serious threat to personal privacy.[12]

Challenges

The number of paths a user can take Potentially Greatly Increases DEPENDING on the number of pages it That Particular website. Many tools to determine the path of linear behavior In most cases, less than 5% of users follow the most common path. However, even if users use the same path, there is no way to tell which one is most influential in determining behavior. Even in more linear forms of path analysis, where are they most likely to drop off, the “why?” Factor is still missed. The main challenge of pathology lies in the fact that it tries to regulate and force users to follow a certain path, when in reality users are very different and have specific preferences.and opinions. [13]

See also

  • Keystroke logging
  • Real-time Marketing
  • clickstream

References

  1. Jump up^ “Glossary” . opentracker . Retrieved 12 March 2014 .
  2. Jump up^ Filimonov, Yura. “Show clear click path” .
  3. Jump up^ “How It Works” . ClickPath . Who’s Calling, Inc.
  4. Jump up^ “Controlling Your Clickstream” . Learn the Net . Retrieved 12 March 2014.
  5. Jump up^ “Data Protection; Online shopping, privacy, data protection and third-party tracking” . NewsRx . April 23, 2011 . Retrieved 12 March 2014 .
  6. Jump up^ Menasalvas, Ernestina; Millán, Peña; Hadjimichael, Marbán (May 26, 2004). “Subsessions: A Granular Approach to Click Path Analysis”. International Journal of Intelligent . 19 (7): 619-637. doi : 10.1002 / int.20014 .
  7. Jump up^ Montgomery, Alan; Shibo Li; Kannan Srinivasan; John C. Liechty (Fall 2004). “Modeling Online Browsing and Path Analysis using Clickstream Data”. Marketing Science . 23 (4): 579-595. doi : 10.1287 / mksc.1040.0073 .
  8. Jump up^ Lleras, Christy (2005). “Path analysis”. Encyclopedia of social measurement . 3 : 25-30. doi : 10.1016 / b0-12-369398-5 / 00483-7 .
  9. Jump up^ “Controlling Your Clickstream” . Learn the Net . Retrieved 12 March 2014.
  10. Jump up^ Ting, I-Hsien; Kimble, Kudenko (2005). “UBB Mining: Finding Unexpected Browsing Behavior in Clickstream Data to Improve Web Site’s Design”. International Conference on Web Intelligence : 179-185.
  11. Jump up^ “Data Protection; Online shopping, privacy, data protection and third-party tracking” . NewsRx . April 23, 2011 . Retrieved 12 March 2014 .
  12. Jump up^ “Controlling Your Clickstream” . Learn the Net . Retrieved 12 March 2014.
  13. Jump up^ Kaushik, Avinash. “Path Analysis: A Good Use of Time?” . Retrieved 12 March 2014 .