| Intelligent
interpretation
Even with these limitations of both log file analysis
and the use of cookies, a statistical interpretation
of the data is currently the most effective form of
analysis available. While the number of visitors is
directly tied to the revenue that can be generated from
a site, it is important to understand that this number
has a varying number of interpretations from the data
that is either collected from the log file or cookies.
While there is no ideal solution for getting precise
site visitor statistics, one can seek a solution that
is congruent with your organization's business plan.
Two of the more popular web site analysis software products
are Webtrends and Site Statistics. Site Statistics is
sold by NetPromoter, which has a suite of Search Engine
Optimization products that are designed to optimize
commercial websites according to the missions and strategies
of an organization (see Figure 1). The corporate mission
is realized through execution of its strategies, which
are influenced by the data and statistics that are collected
from the log statistics and tracking counter modules.
This information in turn is used to adjust the web site's
use of keywords, phrases, and navigation paths. The
Site Statistics' Top-ten Analyzer and Site Analyzer
modules are designed to provide feedback to support
any successful design efforts. This in turn, is an iterative
process that is fed back to re-evaluate the mission
and strategies of the overall ecommerce initiative.

Figure 1 How Site Statistics Supports a Successful
Web Site
Log Analyzer
The log analyzer module parses and analyzes the log
files and presents the results in a useful format. It
displays information on visitor IP addresses, referring
pages, requested pages, user paths through the site,
and more. In Figure 2 a sample report displays the number
of hits (unique visitors), the number of visitors and
pages viewed, and the bandwidth used by browser type.

Figure 2 A Sample report by the Site Statistics Log
Analyzer
Cookie-based module (Script Generator)
The cookie based module places JavaScript based tracking
counters on pages on the web site. When a user requests
a page, the JavaScript counter places a cookie on the
user's computer, which serves as a unique user ID and
helps identify subsequent visits and paths through the
site even when users are working through a proxy server
or are using dynamic IP addresses. The Site Statistics
counter can discriminate between different users working
through a proxy server, and even different users on
the same computer (provided each of them is logged in
under his own username).
The statistics does not require the installation of
any additional software on either the web server or
the client. However, potential drawbacks include site
visits by users with disable cookies or instances when
the counter is not allowed to function correctly when
the page is not allowed to load completely.
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