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Guide to Web Analytics Solutions 05/06
Ideal Observer, March 2006
For businesses, finding the right Web Analytics System is presumably as easy as if you are looking for the best pizza in Italy. An uncountable number of products and providers can be found on the market; the labelling of products (Web Analytics, Logfile-Analysis, Clickstream-Analysis, Web Controlling etc.) and of the used concepts (Hits, PageViews, PageImpressions, Unique Visitors, Vistors etc) is confusing and inconsistent.
Moreover, selecting the right system takes a lot of time. Determining the scope of potential products, arranging presentations, meetings and test runs, plus evaluating the functionalities – the process is time-consuming. Web Analytics is important for businesses that want to use the internet successfully and effectively. A blind flight without paying attention to the behaviour of the website’s visitors leads to misconceptions – and your online commitment could quickly become a misinvestment.
This ‘Guide To Web Analytics Solutions’ is supposed to help businesses finding the appropriate solution for their individual demands. The Guide lists and compares 73 web analytics solutions. Detailed information about solutions concerning features, interfaces, prices, support options and much more are provided. Solutions are rated out of a total of 190 items. Information is presented in tables and graphic profiles for each solution.
The study is divided into three parts:
In the first part you will find some general information on web analytics – the “how and why” of web analytics, as well as help in selecting a solution and in optimizing your website.
In the second part you will find graphical profiles of all 73 solutions. The graphics provide a quick overview of a solution’s potential. Information on functions, details on the company and on support options and more are all supplied. All fields in the profile are indicated. It must be admitted that these are not always easy to read, but where this is the case, the captions of the circular segments on pages 144-151 provide further explanation. The individual evaluation points are defined on pages 137ff. Solutions are listed in order of their overall rating results – from 1st – SAS Web Analytics, to 73rd - Analog. An overview of the results can be found on pages 152ff. The weighting factors are described in the segment captions.
In the third part all solutions and their functions are listed in a table. It is not usually important for a company what rating result a solution has achieved, or whether all the possible fields are marked in green, rather it is important that a solution meets the company’s individual requirements. This type of quick comparison can be made using the lists. Here the solutions are also divided into three groups according to price: High-Level, Mid-level and Low-Level solutions.
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