A common misconception in the analysis of web sites is that the total number of new visitors and repeat visitors from the total number of visitors. This becomes clear when the guests are considered to be people on a small scale, but caused a significant number of complaints analytical software does not work due to a lack of understanding of statistics.

Here is guilty of a new visitor statistics. In fact, there is no such thing as a new visitor, when considering a place of the current point of view. When a visitor makes his first visit to a specific day and then go back to the spot on the same day and both are new visitors and repeat visitors per day. So, when we look at them as individuals, where are they? The answer is well, that the definition of metric is guilty.

Recent visitor is not an individual, it is the web measurement. For this reason it is easier to conceptualize the same side as the first visit (or first session). This solves the conflict, and thus the confusion. Nobody expected that the number of first add to the number of repeat visitors, the total number of visitors. Statistics will have the same number as the new visitors, but it is clear that it will not be added to this mode.

The day was first elected to the individual us. There was also the second visit to the same person. The number of first visits and the number should be repeated visits to the total number of visits per day.

Popularity: 76% [?]

Advanced Web Analytics, Tips, Techniques and Best Practices Avinash Kaushik, Author, Blogger, Analytics Evangelist

Popularity: 64% [?]

Popularity: 63% [?]

A common question in web analytics, since most tools use a cookie to identify returning visitors. Some tools fall back to IP-address and browser agent, but that will not help either when multiple computers are used.

In some cases website visitors have to login which is a great alternative to increase the recognition of returning visitors. But what to do when you do not require users to login and you feel that they might use multiple computers more than average?

A real-world example from an online insurance website shows you one of the solutions. Based on the conversion per marketing channel the people responsible for online advertising were sure that a lot of visitors hit one of their banners or links before converting. During the order process people have to fill in a specific registration number for a car insurance (legal requirement, many people don’t know this number), which increases the chance that they abort the order process. By proving an email link the visitor can choose to receive an email with a link to resume the order process. Unfortunately it is quite likely that this will be done on a computer at home, while the order process started on a computer at work. No cookie, no similar IP and thus no way to match a conversion with a previous marketing campaign response. As a result the reported ROI on campaigns is too low, because many orders cannot be matched with a campaign.

The solution is to use an identifier which is available in both parts of the order process. For this car insurance it is the license plate number. Before visitors have to fill in the code (which they can only find on their car registration papers) they always fill in their license plate number which shows the premium for their car. The license plate number is matched with all marketing campaigns they have responsed to (Google Adwords, MSN banner, etc.). When they complete the order process the license plate will be stored in the web analytics tool on the order confirmation page. By combining this information with the list of license plate numbers and corresponding marketing campaigns almost 50% of the orders without any campaign information could be allocated to one or more campaigns.

Disclaimer:

Sometimes a little out-of-the-box thinking is required to get valuable insights out of your web analytics tool. Adversitement is a premier European partner of Omniture and is specialized in advanced web analytics projects.

Met vriendelijke groet,

Mirte Romanillos

10-Jun-08 8:00 AM
View post: 
How can I recognize visitors if they use multiple computers?

Popularity: 29% [?]

Web analytics is the process of quantifying the behaviour of a website visitors. Web analytics have become a very important part of electronic commerce because they can show the site owner pages that are effective in persuading people to subscribe to services or purchase products. Web analytics can also be used to monitor and analyze how a site is achieving its objectives.

Web Analytics (also including Controlling Web, Web analysis, data traffic analysis, traffic analysis, clickstream analysis) is the collection and analysis of the behaviour of visitors to Web sites. Typically examines where the visitors come, what areas are visited and how often seen what pages. For professional websites operated this analysis is mainly to optimize the site and to improve the achievement of objectives of the website (such as frequency of visits, propagation of side calls, orders, newsletter subscriptions).

How often to new techniques is also available in the Web Analytics a certain confusion and disagreement on the terms and meanings. For discussions will also always the question of what procedure was used for data collection the best in a particular case or generally. Basic can be found at Web Analytics between evaluation mechanism to measure the permanent site effectiveness and methods to detect weaknesses in the site and possible improvements be made. Worldwide about 150 companies offer professional solutions for Web Analytics. The products the company may be partially or even be installed as an ASP offering (mostly) monthly usage fees without substantial internal hardware or software expenditures used

Web analytics through the analysis of logs
Logfile analysis is an important aspect of web analytics. Using the log file records of web servers, the popularity of a website can be determined. Analysis of web server logs can produce important marketing data such as the number of unique visitors to a site by monitoring the number of times the Web server applications are made by unique users. This has proved to be a powerful tool especially when websites are only composed of a single HTML file. With the influx of pagination multiple Web sites, however, this tool has become less useful and had to be updated with the page and considering visit in order to make it more effective in providing site to view statistics and popularity of information.

The growing popularity of search engines, however, has once again undermined the effectiveness of Web site analysis of log file analysis. This is mainly because the logfile analysis to distinguish between the demands of man and asks visitors to search engine robots and spiders. The difficulty has been compounded by the emergence of new changes as the Internet dynamically assigned IP addresses, Web and Web proxy caches. Logfile analysis successfully adapted to these new innovations somewhat integrating analyzers to exclude cookies and requests for spider.

The advantage of this method of analysis is that Web log files are easier to get that page tags; websites need to make certain changes before the collection of information through page tagging. The logs are also more precise than the tags because they do not require the cooperation of a visitor’s browser. Moreover, locks the page tag programs by its suppliers means that site owners could not easily switch to another method to view the required information while the files are easily compatible with all programs web analytics.

Web Analytics through page tagging
Page marking arose as an analytical tool Web mainly because of the need to resolve the problem created by the Web caches. This method uses Java Script to inform third of a single application server page human visitors. Web analytics firms awarded the visitor a cookie to distinguish it from other visitors and recognize him if he goes again in the future.

The advantage of using tagging Web page as an analytical tool is that it solves the problem of Web cache, collects more information and events that the analysis of newspapers and is even available for companies that do not have their own Web servers.

Both methods of analysis Web, however, may be provided by the companies web analytics so that website owners can obtain the best possible data.

Popularity: 72% [?]