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Many different vendors provide on-site web analytics software and services. There are two main technical ways of collecting the data. The first and traditional method, server log file analysis , reads the logfiles in which the web server records file requests by browsers. The second method, page tagging , uses JavaScript embedded in the webpage to make image requests to a third-party analytics-dedicated server, whenever a webpage is rendered by a web browser or, if desired, when a mouse click occurs.
Both collect data that can be processed to produce web traffic reports. The fundamental goal of web analytics is to collect and analyze data related to web traffic and usage patterns. The data mainly comes from four sources: [4]. Web servers record some of their transactions in a log file.
It was soon realized that these log files could be read by a program to provide data on the popularity of the website. Thus arose web log analysis software. In the early s, website statistics consisted primarily of counting the number of client requests or hits made to the web server. This was a reasonable method initially since each website often consisted of a single HTML file. Two units of measure were introduced in the mids to gauge more accurately the amount of human activity on web servers.
These were page views and visits or sessions. A page view was defined as a request made to the web server for a page, as opposed to a graphic, while a visit was defined as a sequence of requests from a uniquely identified client that expired after a certain amount of inactivity, usually 30 minutes. The emergence of search engine spiders and robots in the late s, along with web proxies and dynamically assigned IP addresses for large companies and ISPs , made it more difficult to identify unique human visitors to a website.
Log analyzers responded by tracking visits by cookies , and by ignoring requests from known spiders. The extensive use of web caches also presented a problem for log file analysis.
If a person revisits a page, the second request will often be retrieved from the browser’s cache, and so no request will be received by the web server. This means that the person’s path through the site is lost. Caching can be defeated by configuring the web server, but this can result in degraded performance for the visitor and bigger load on the servers. Concerns about the accuracy of log file analysis in the presence of caching, and the desire to be able to perform web analytics as an outsourced service, led to the second data collection method, page tagging or ” web beacons “.
In the mids, Web counters were commonly seen — these were images included in a web page that showed the number of times the image had been requested, which was an estimate of the number of visits to that page. In the late s, this concept evolved to include a small invisible image instead of a visible one, and, by using JavaScript, to pass along with the image request certain information about the page and the visitor. This information can then be processed remotely by a web analytics company, and extensive statistics generated.
The web analytics service also manages the process of assigning a cookie to the user, which can uniquely identify them during their visit and in subsequent visits. Cookie acceptance rates vary significantly between websites and may affect the quality of data collected and reported. Collecting website data using a third-party data collection server or even an in-house data collection server requires an additional DNS lookup by the user’s computer to determine the IP address of the collection server.
On occasion, delays in completing successful or failed DNS lookups may result in data not being collected. With the increasing popularity of Ajax -based solutions, an alternative to the use of an invisible image is to implement a call back to the server from the rendered page.
In this case, when the page is rendered on the web browser, a piece of JavaScript code would call back to the server and pass information about the client that can then be aggregated by a web analytics company. Both logfile analysis programs and page tagging solutions are readily available to companies that wish to perform web analytics.
In some cases, the same web analytics company will offer both approaches. The question then arises of which method a company should choose. There are advantages and disadvantages to each approach. Logfile analysis is almost always performed in-house.
Page tagging can be performed in-house, but it is more often provided as a third-party service. Inflation bill could be “game-changing” for millions of U. Google data center near Omaha explodes, causing service outages Three Google employees were injured and taken to a nearby hospital after an apparent electrical explosion. Online prices fall for the first time in two years Drop in online prices, driven by discounts on electronics and apparel, raises hopes inflation may be turning the corner.
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