Absolute Log Analyzer
|Op. System:||Win98, WinME, WinNT 4.x, WinXP, Windows2000, Windows2003|
|File size:||2.46 MB|
Publisher description for Absolute Log Analyzer
Absolute Log Analyzer is a client-based log processing solution designed for web traffic analysis. This easy for use and feature-rich tool can generate fast, effective reports of any kind and display them in a format that's easy to read and understand. Absolute Log Analyzer's reports gives you an opportunity to look at all of the aspects of your web site traffic including what draws visitors to your web site, what are people searching on your site, which country is most active and so on. There are more then 60 different reports and all of this information can be fine-tuned to meet your particular needs. Standard version provides you with instant filters so you can refine report data by one or more conditions (e.g. selecting visits from a particular search engine or country) in seconds. Our log analysis solution recognizes more than 100 search engines so you will get complete information about search words and phrases. Absolute Log Analyzer's unique Advanced Visit Detection technology greatly increases quality of visit's recognition. Absolute Log Analyzer brings intuitive user interface along with advanced features. Traffic statistics appear in attractive charts and tables. All reports are in the report tree so you can easily find them. Original GetStats interface and support for FTP protocol will allow you to retrieve and analyse remote log files with a few mouse clicks. Analyzer can recognize majority of log file formats (Microsoft IIS, Apache combined, W3C Extended) automatically, you can specify your own format for non standard log files. It will analyse log files compressed with GZip or bzip2 and can recompress log files to minimize drive space usage. The analyzer imports data into the highly optimized proprietary database. This allows to incrementally update the statistics as new log files arrives and makes it simple to zoom in on a particular quarter,month,week, or day and even view all of this stats in a same table so you will be able to see the trend.