// Workers AI · dad joke modeWhat did click analytics say to the mouse? You're a great click.
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Click analytics is a special type of web analytics that gives attention to clicks (Point-and-click) which constitute the first stage in the conversion funnel. Commonly, click analytics focuses on on-site analytics. An editor of a web site uses click analytics to determine the performance of his or her particular site, with regard to where the users of the site are clicking.[1][2]
Information
[edit]Click analytics may happen in real-time or "unreal"-time, depending on the type of information sought. Typically, front-page editors on high-traffic news media sites will want to monitor their pages in real-time, to optimize the content. Editors, designers and other stakeholders may analyze clicks on a wider time frame to aid them in assessing the performance of written passages, design elements or advertisements etc.
Click data may be gathered in at least two ways. Ideally, a click is "logged" when it occurs, and this method requires some functionality that picks up relevant information when the event occurs. Alternatively, one may institute the assumption that a page view is a result of a click, and therefore log a simulated click that leads to that page view.
See also
[edit]References
[edit]- ↑ Farney, Tabatha A. (September 2, 2011). "Click Analytics: Visualizing Website Use Data". Information Technology and Libraries. 30 (3). doi:10.6017/ital.v30i3.1771. ISSN 2163-5226.
- ↑ Buschek, Daniel; Auch, Alexander; Alt, Florian (June 23, 2015). "A toolkit for analysis and prediction of touch targeting behaviour on mobile websites". Proceedings of the 7th ACM SIGCHI Symposium on Engineering Interactive Computing Systems. EICS '15. New York, NY, USA: Association for Computing Machinery: 54–63. doi:10.1145/2774225.2774851. ISBN 978-1-4503-3646-8.
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