Request to load a web page, tracked for web analytics
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In web analytics and website management, a pageview or page view, abbreviated in business to PV and occasionally called page impression, is a request to load a single HTML file (web page) of an Internet site.[1] On the World Wide Web, a page request would result from a web surfer clicking on a link on another page pointing to the page in question.
On balance, page views refer to a number of pages viewed or clicked on the site during the given time.[2]
Page views may be counted as part of web analytics. For the owner of the site, this information can be useful to see if any change in the "page" (such as the information or the way it is presented) results in more visits. If there are any advertisements on the page, the publishers would also be interested in the number of page views to determine their expected revenue from the ads. For this reason, it is a term that is used widely for Internet marketing and advertising.[3]
Feature
The page impression has long been a measure of user activity on a website. However, the activity is not necessarily associated with loading a complete HTML page. Modern programming techniques can serve pages by other means that don't show as HTTP requests.
Advertisement
Since page views help estimate the popularity of sites, it helps determine their value for advertising revenue. The most common metric is CPM. It stands for 'Cost per thousand'(the M is the Roman numeral for 1,000)[4] and it is commonly used metrics to measure page views divided by the thousands, that is, cost per 1000 views, used for the ad rates and thus, the less CPM is, the better deal it offers to advertisers.[5] However, there has been a growing concern that CPM is not as trustworthy as it looks in the advertising market because, although, with CPM arrangement, everyone who visits a site makes publishers’ money, for an advertiser's view, CPM is being challenged in comparison to CPC or CPA in terms of adverts’ efficiency because visiting does not mean clicking the ads.[6]
Measurement
The preferred way to count page views is using a web analytics software. They can measure the number of pages on any site and therefore, it helps people to receive a rough estimate of page views on web sites.[7] There are also many other page view measurement tools available including open source ones as well as licensed products.
Hit ratio
Hit ratio refers to the percentage of computer memory accesses (number of HTTPS requests delivered per requests received) that are found in certain levels of the memory hierarchy. In other words, it is a measure of content requests that a web caching system can deliver successfully from its cache storage, compared to how many requests it receives.[8][9] There are two types of hit ratios:
Cache hit ratio, referring to number of requests made;[10]
Byte hit ratio, referring to amount of bandwidth that a browser's caching system has saved.[10][11]
Criticism and concerns
Despite a wide range of uses of page view, it has come in for criticisms.
Page view can be manipulated or boosted for specific purposes.[12] For example, a recent incident, called 'page view fraud', compromised the accuracy of measurement of page view by boosting the page view. Perpetrators used a tool called 'a bot' to buy fake page-views for attention, recognition, and feedback, increasing the site's value.[13] As a result, some people already started building alternatives to measure audiences, such as "Ophan", saying that the page view is becoming passe.[14]
Humans vs. machines
Fake page views can reflect bots instead of humans.[15]
Wikipedia provides tools that allow one to see how many people have visited a Wikipedia article during a given time period. Such have been used for tools that for instance display the most popular articles of the day.[16] Wikipedia pageviews of certain types of articles correlate with changes in stock market prices,[17] box office success of movies,[18] spread of disease[19][20] among other applications of datamining. Since search engines directly influence what is popular on Wikipedia such statistics may provide a more unfiltered and real-time view into what people are searching for on the Web[21] and societal interests.[22] For instance they can be used to gain insights into public anxiety and information seeking after or during events[23] or for the identification of concepts with significant increase of interest from the public.[24] In 2015, a study conducted by the Association for the Advancement of Artificial Intelligence (AAAI) examined the influence of Reddit posts on Wikipedia pageviews.[25]
↑ Tausczik, Yla; Faasse, Kate; Pennebaker, James W.; Petrie, Keith J. (1 February 2012). "Public Anxiety and Information Seeking Following the H1N1 Outbreak: Blogs, Newspaper Articles, and Wikipedia Visits". Health Communication. 27 (2): 179–185. doi:10.1080/10410236.2011.571759. ISSN1041-0236. PMID21827326. S2CID3783651.
↑ Ciglan, Marek; Nørv\a ag, Kjetil (1 January 2010). "WikiPop". Proceedings of the 19th ACM international conference on Information and knowledge management. pp.1931–1932. doi:10.1145/1871437.1871769. ISBN9781450300995. S2CID15890386.
Schurman, Kyle (June 1997). "Is Your Web Site a Hit?". SmartComputing.com. Archived from the original on 2012-02-05. Retrieved 2018-04-29.
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