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Tuesday, 14 May 2013

On-site web analytics - definitions

Hit - A request for a file from the web server. Available only in log analysis. The number of hits received by a website is frequently cited to assert its popularity, but this number is extremely misleading and dramatically overestimates popularity. A single web-page typically consists of multiple (often dozens) of discrete files, each of which is counted as a hit as the page is downloaded, so the number of hits is really an arbitrary number more reflective of the complexity of individual pages on the website than the website's actual popularity. The total number of visits or page views provides a more realistic and accurate assessment of popularity.

Page view - A request for a file, or sometimes an event such as a mouse click, that is defined as a page in the setup of the web analytics tool. An occurrence of the script being run in page tagging. In log analysis, a single page view may generate multiple hits as all the resources required to view the page (images, .js and .css files) are also requested from the web server.

Visit / Session - A visit or session is defined as a series of page requests or, in the case of tags, image requests from the same uniquely identified client. A visit is considered ended when no requests have been recorded in some number of elapsed minutes. A 30 minute limit ("time out") is used by many analytics tools but can, in some tools, be changed to another number of minutes. Analytics data collectors and analysis tools have no reliable way of knowing if a visitor has looked at other sites between page views; a visit is considered one visit as long as the events (page views, clicks, whatever is being recorded) are 30 minutes or less closer together. Note that a visit can consist of one page view, or thousands.

First Visit / First Session - (also called 'Absolute Unique Visitor' in some tools) A visit from a uniquely identified client that has theoretically not made any previous visits. Since the only way of knowing whether the uniquely identified client has been to the site before is the presence of a persistent cookie that had been received on a previous visit, the First Visit label is not reliable if the site's cookies have been deleted since their previous visit.

Visitor / Unique Visitor / Unique User - The uniquely identified client that is generating page views or hits within a defined time period (e.g. day, week or month). A uniquely identified client is usually a combination of a machine (one's desktop computer at work for example) and a browser (Firefox on that machine). The identification is usually via a persistent cookie that has been placed on the computer by the site page code. An older method, used in log file analysis, is the unique combination of the computer's IP address and the User Agent (browser) information provided to the web server by the browser. It is important to understand that the "Visitor" is not the same as the human being sitting at the computer at the time of the visit, since an individual human can use different computers or, on the same computer, can use different browsers, and will be seen as a different visitor in each circumstance. Increasingly, but still somewhat rarely, visitors are uniquely identified by Flash LSO's (Local Shared Object), which are less susceptible to privacy enforcement.

Repeat Visitor - A visitor that has made at least one previous visit. The period between the last and current visit is called visitor recency and is measured in days.

New Visitor - A visitor that has not made any previous visits. This definition creates a certain amount of confusion (see common confusions below), and is sometimes substituted with analysis of first visits.

Impression - The most common definition of "Impression" is an instance of an advertisement appearing on a viewed page. Note that an advertisement can be displayed on a viewed page below the area actually displayed on the screen, so most measures of impressions do not necessarily mean an advertisement has been viewable.

Single Page Visit / Singleton - A visit in which only a single page is viewed (a 'bounce').

Bounce Rate - The percentage of visits that are single page visits.

Exit Rate / % Exit - A statistic applied to an individual page, not a web site. The percentage of visits seeing a page where that page is the final page viewed in the visit.

Page Time Viewed / Page Visibility Time / Page View Duration - The time a single page (or a blog, Ad Banner...) is on the screen, measured as the calculated difference between the time of the request for that page and the time of the next recorded request. If there is no next recorded request, then the viewing time of that instance of that page is not included in reports.

Session Duration / Visit Duration - Average amount of time that visitors spend on the site each time they visit. This metric can be complicated by the fact that analytics programs can not measure the length of the final page view.

Average Page View Duration - Average amount of time that visitors spend on an average page of the site.

Active Time / Engagement Time - Average amount of time that visitors spend actually interacting with content on a web page, based on mouse moves, clicks, hovers and scrolls. Unlike Session Duration and Page View Duration / Time on Page, this metric can accurately measure the length of engagement in the final page view, but it is not available in many analytics tools or data collection methods.

Average Page Depth / Page Views per Average Session - Page Depth is the approximate "size" of an average visit, calculated by dividing total number of page views by total number of visits.

Frequency / Session per Unique - Frequency measures how often visitors come to a website in a given time period. It is calculated by dividing the total number of sessions (or visits) by the total number of unique visitors during a specified time period, such as a month or year. Sometimes it is used interchangeable with the term "loyalty."

Click path - the chronological sequence of page views within a visit or session.

Click - "refers to a single instance of a user following a hyperlink from one page in a site to another".
Site Overlay is a report technique in which statistics (clicks) or hot spots are superimposed, by physical location, on a visual snapshot of the web page.
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Customer lifecycle analytics

Customer lifecycle analytics is a visitor-centric approach to measuring that falls under the umbrella of lifecycle marketing. Page views, clicks and other events (such as API calls, access to third-party services, etc.) are all tied to an individual visitor instead of being stored as separate data points. Customer lifecycle analytics attempts to connect all the data points into a marketing funnel that can offer insights into visitor behavior and website optimization.

Reference By: en.wikipedia.org/wiki/Web_analytics#On-site_web_analytics_technologies
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Click analytics

Click analytics is a special type of web analytics that gives special attention to clicks.

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 regards to where the users of the site are clicking.

Also, click analytics may happen 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 or other types of stakeholders may analyze clicks on a wider time frame to aid them assess performance of writers, design elements or advertisements etc.

Data about clicks 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 led to that page view.

Reference By: en.wikipedia.org/wiki/Web_analytics#On-site_web_analytics_technologies
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Geolocation of visitors analytics

With IP geolocation, it is possible to track visitors location. Using IP geolocation database or API, visitors can be geolocated to city, region or country level.

IP Intelligence, or Internet Protocol (IP) Intelligence, is a technology that maps the Internet and catalogues IP addresses by parameters such as geographic location (country, region, state, city and postcode), connection type, Internet Service Provider (ISP), proxy information, and more. The first generation of IP Intelligence was referred to as geotargeting or geolocation technology. This information is used by businesses for online audience segmentation in applications such online advertising, behavioral targeting, content localization (or website localization), digital rights management, personalization, online fraud detection, geographic rights management, localized search, enhanced analytics, global traffic management, and content distribution.

Reference By: en.wikipedia.org/wiki/Web_analytics#On-site_web_analytics_technologies
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Hybrid methods logfiles and page tagging analyze

Some companies produce solutions that collect data through both logfiles and page tagging and can analyze both kinds. By using a hybrid method, they aim to produce more accurate statistics than either method on its own. 

Reference By: en.wikipedia.org/wiki/Web_analytics#On-site_web_analytics_technologies
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Economic factors Logfile analysis

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. The economic difference between these two models can also be a consideration for a company deciding which to purchase.

Logfile analysis typically involves a one-off software purchase; however, some vendors are introducing maximum annual page views with additional costs to process additional information. In addition to commercial offerings, several open-source logfile analysis tools are available free of charge.
For Logfile analysis you have to store and archive your own data, which often grows very large quickly. Although the cost of hardware to do this is minimal, the overhead for an IT department can be considerable.
For Logfile analysis you need to maintain the software, including updates and security patches.
Complex page tagging vendors charge a monthly fee based on volume i.e. number of pageviews per month collected.

Which solution is cheaper to implement depends on the amount of technical expertise within the company, the vendor chosen, the amount of activity seen on the web sites, the depth and type of information sought, and the number of distinct web sites needing statistics.

Reference By: en.wikipedia.org/wiki/Web_analytics#On-site_web_analytics_technologies
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Advantages of page tagging

The main advantages of page tagging over logfile analysis are as follows:
Counting is activated by opening the page (given that the web client runs the tag scripts), not requesting it from the server. If a page is cached, it will not be counted by the server. Cached pages can account for up to one-third of all pageviews. Not counting cached pages seriously skews many site metrics. It is for this reason server-based log analysis is not considered suitable for analysis of human activity on websites.

Data is gathered via a component ("tag") in the page, usually written in JavaScript, though Java can be used, and increasingly Flash is used. Ajax can also be used in conjunction with a server-side scripting language (such as PHP) to manipulate and (usually) store it in a database, basically enabling complete control over how the data is represented.

The script may have access to additional information on the web client or on the user, not sent in the query, such as visitors' screen sizes and the price of the goods they purchased.

Page tagging can report on events which do not involve a request to the web server, such as interactions within Flash movies, partial form completion, mouse events such as onClick, onMouseOver, onFocus, onBlur etc.

The page tagging service manages the process of assigning cookies to visitors; with logfile analysis, the server has to be configured to do this.

Page tagging is available to companies who do not have access to their own web servers.
Lately page tagging has become a standard in web analytics

Reference By: en.wikipedia.org/wiki/Web_analytics#On-site_web_analytics_technologies
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Advantages of logfile analysis

The main advantages of logfile analysis over page tagging are as follows:

The web server normally already produces logfiles, so the raw data is already available. No changes to the website are required.

The data is on the company's own servers, and is in a standard, rather than a proprietary, format. This makes it easy for a company to switch programs later, use several different programs, and analyze historical data with a new program.

Logfiles contain information on visits from search engine spiders, which generally do not execute JavaScript on a page and are therefore not recorded by page tagging. Although these should not be reported as part of the human activity, it is useful information for search engine optimization.

Logfiles require no additional DNS lookups or TCP slow starts. Thus there are no external server calls which can slow page load speeds, or result in uncounted page views.

The web server reliably records every transaction it makes, e.g. serving PDF documents and content generated by scripts, and does not rely on the visitors' browsers cooperating.

Reference By: en.wikipedia.org/wiki/Web_analytics#On-site_web_analytics_technologies
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Logfile analysis vs page tagging

LogFile analysis programs and page tagging solutions to both web analytics that companies are easily available. In some cases, the same web analytics company will offer both approaches. The question then should choose a company that is causing the system. Each approach has advantages and disadvantages.
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Web Page tagging

LogFile accuracy analysis in the presence of caching, and other data collection method, page tagging or 'Web bugs' leads to an outsourced service, web analytics as a desire to be able to worry about

Web analytics service during his visit and subsequent visits to uniquely identify the user to manage the process of assigning a cookie.

Third party data storage server (or even an in-house data storage server), using the Web site to determine the IP address of the server to store the data collected from the user's computer to the DNS look-up is required. On occasion, a successful delay or failure to complete DNS look-ups can result in data not being collected.
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Web server logfile analysis

Web servers LogFile some records of their transactions. It soon popularity in the logfiles on the website to provide information that can be read by the program was realized. This web log analysis software have emerged.

The page views and visits (or sessions) said. After a certain amount of inactivity expired visit that uniquely identified client, usually 30 minutes was defined as a sequence of requests, the page View, as opposed to a graphic of a page, the Web server is defined as a request was. The page views and visits are still commonly displayed metrics, but rather by those who are considered to be primary.
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On-site web analytics technologies

Many different vendors provide on-site web analytics software and services.

The data collected are two main technical ways.

The first and older method, the server log file analysis, web server requests a file recorded by browsers which reads logfiles.

The second method, page tagging, if desired page when the mouse is clicked, a web browser or by a third party analytics - image requests to a dedicated server in order to use this site to embed JavaScript in the page code. Both to generate web traffic reports can proceed to collect the data.
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Web Analytics

What is Google Web Analytics?

Web Analytics measurement, collection, analysis and reporting of Internet data for the purposes of understanding and optimizing web usage is

Web analytics programs to measure the results of traditional print or broadcast advertising campaign can help. It launched a new ad campaign for changes to the website, which helps to estimate how traffic. Web analytics and page views of a website that provides information about the number of visitors. Market research can be used to gauge the traffic and popularity trends which helps.

Off-site On-site web analytics, two categories of web analytics.

Off-site web analytics, regardless of ownership or maintenance of a website that takes you to a web measurement and analysis. If a website's potential audience (opportunity), share voice (visibility), and is happening on the Internet Buzz (tips) are included in the measure.

On-site web analytics measures the behavior of visitors to your website at a time. For example, different landing pages that are associated with the amount of online shopping; This includes its drivers and conversions. On-site web analytics professional to measure your website's performance. Against key performance indicators for the performance of this data, in relation to the web site or marketing campaign's audience is used to improve performance. Google Analytics is the most widely used on-site web analytics service, new equipment, including heat maps, and session replay levels to provide additional information, which is emerging.
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