Both logfile analysis programs and page tagging solutions are readily available to companies that wish to perform web analytics. In many 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.

Advantages of logfile analysis

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

1. The web server normally already produces logfiles, so the raw data is already available. To collect data via page tagging requires changes to the website.
2. The web server reliably records every transaction it makes. Page tagging relies on the visitors’ browsers co-operating, which a certain proportion may not do (for example, if JavaScript is disabled).
3. 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. Page tagging solutions involve vendor lock-in.
4. Logfiles contain information on visits from search engine spiders. Although these should not be reported as part of the human activity, it is important data for performing search engine optimization.
5. Logfiles contain information on failed requests; page tagging only records an event if the page is successfully viewed.

Advantages of page tagging

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

1. The JavaScript is automatically run every time the page is loaded. Thus there are fewer worries about caching.
2. It is easier to add additional information to the JavaScript, which can then be collected by the remote server. For example, information about the visitors’ screen sizes, or the price of the goods they purchased, can be added in this way. With logfile analysis, information not normally collected by the web server can only be recorded by modifying the URL.
3. Page tagging can report on events which do not involve a request to the web server, such as interactions within Flash movies.
4. The page tagging service manages the process of assigning cookies to visitors; with logfile analysis, the server has to be configured to do this.
5. Page tagging is available to companies who do not run their own web servers.

Economic factors

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.

1. 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.
2. Page tagging most often involves a monthly fee, although some vendors offer installable page tagging solutions with no additional page view costs.

Which solution is cheaper often 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.

Hybrid methods
Some companies are now producing programs which collect data through both logfiles and page tagging. By using a hybrid method, they aim to produce more accurate statistics than either method on its own. The first Hybrid solution was produced in 1998 by Rufus Evison who then spun the product out to create a company based upon the increased accuracy of hybrid methods.
Other methods
Other methods of data collection have been used, but are not currently widely deployed. These include integrating the web analytics program into the web server, and collecting data by sniffing the network traffic passing between the web server and the outside world.

There is also another method of the page tagging analysis. Instead of getting the information from the user side, when he / she opens the page, it’s also possible to let the script work on the server side. Right before a page is sent to a user it then sends the data.

Popularity: 55% [?]

There are two main technological approaches to collecting web analytics data. The first method, logfile analysis, reads the logfiles in which the web server records all its transactions. The second method, page tagging, uses JavaScript on each page to notify a third-party server when a page is rendered by a web browser.
Read the full story

Popularity: 13% [?]

Web analytics is the study of the behaviour of website visitors. In a commercial context, web analytics especially refers to the use of data collected from a web site to determine which aspects of the website work towards the business objectives; for example, which landing pages encourage people to make a purchase.

Data collected almost always includes web traffic reports. It may also include e-mail response rates, direct mail campaign data, sales and lead information, user performance data such as click heat mapping, or other custom metrics as needed. This data is typically compared against key performance indicators for performance, and used to improve a web site or marketing campaign’s audience response.

When collecting data tracking or metrics web analyst should always ask themselves what actions they will take based on knowing this information? If the answer is none, then the data is not worth tracking or collecting.

Popularity: 13% [?]

Mario Fantoni of TaguchiNow answers questions about:

• Taguchi and choice modeling
• Multivariate testing in general
• Methodology, technology and creativity
• Whether small, large, new or old companies are the early adopters
• Small, large and niche markets
• Case studies (Nordax Finans, IntelliQuote, WebEx and Dell)
• Corporate identities
• Focus groups
• The 80/20 rule applied to testing
• Avinash’s 10/90 rule applied to testing
• Head-to-head tests with competitors

Podcast with Mario Fantoni of TaguchiNow

10-Aug-07 11:00 AM
View original here: 
A podcast with Mario Fantoni of TaguchiNow

Popularity: 6% [?]