About ClickTracks Analyzer
Analyzes the webserver log file and displays how users interact with the site by overlaying data directly on the HTML pages of your site. Each link on your site is superimposed with a chart indicating the number of people...
A visual approach to understanding how visitors interact with your website. Fundamentally different website analytics that displays visitors behavior in context with the site itself. Ideal for right-brained thinkers and those who are tired of long tables of numbers produced by other analytics software.
Your actual HTML pages are displayed overlaid with data that visually shows how many people navigate any link. The pages of your site are live: click a link and the data for the next page is displayed. ClickTracks goes even further by displaying the time spent and other data, along with a map of your site and how people navigate. Different groups of visitors can be compared through the use of 'tagging'. Tagging is simple to use and require no database or programming. A user population is tagged with a single click, selecting the criteria to identify those users - such as referring site name. Once tagged the data for those users is broken out seperately and can be compared to other users at a glance. ClickTracks can focus in on the most important visitor groups and highlight their behavior.
ClickTracks works by importing the web server log file. It supports Apache and IIS web servers among others.
It's simple to setup - taking on average 10 minutes. Complex analysis and ad-hoc reporting can be performed through a powerful wizard based tool. It's blazing fast - processing 1Gb of log data in 5 minutes.
Previous Versions
Here you can find the changelog of ClickTracks Analyzer since it was posted on our website on 2015-04-25 03:00:00.
The latest version is 6.5.2 and it was updated on 2024-04-22 19:50:47. See below the changes in each version.
ClickTracks Analyzer version 6.5.2
Updated At: 2007-04-03
Changes: New architecture, browser based reports, splits, funnel
Disclaimer
External Download
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