Software Development Under Control

V-Tracker Features

V-Tracker was designed from the ground up to be a scalable platform capable of supporting large enterprise-wide initiatives now and into the foreseeable future. Leveraging our background in enterprise web application development, it was a natural fit for us to apply these technologies to the issue of stability, scalability, and performance.

The in-world features are composed of three primary script types: Event Sensors, Passive Scanners, and Chat Loggers. The V-Tracker system defines an Event as a single occurance that can be trapped by the Second Life event management interface. This translates to the events provided by LSL that are fired on a single instance; touching an object, paying an object, bringing up a URl from an object, taking an object, accepting an object, and several others. V-Tracker currently supports Touch, Pay, and URL navigation, with more event types coming online 3rd Quarter 2007.

Tracking visitors and visits is one of the primary uses for V-Tracker. As many scanners can be placed as necessary, in various ranges and campaign settings, in over lapping patterns if needed. Using campaigns is a handy way to isolate short range traffic from larger area traffic scans. This keeps overlapping scanner fields from becoming a problem and lets your numbers stay accurate.

A feature unique to V-Tracker is the ability to report across multiple campaigns and by selecting specific sensors or scanners from each campaign. This flexibility allows you to compare activity across campaigns and get a big-picture view of activity across your projects.

Capturing this metric data can be useful, but not if this data is trapped in our system. Your data is never trapped, as V-Tracker will let you export to Excel, PDF, XML, and other data types at will. It's your data, and you can take it with you.

V-Tracker provides powerful search interfaces and reporting options. You can view the collected data in a wide variety of ways giving you insight into your presence in the Metaverse. Average visit length by campaign, total visit minutes by campaign or scanner location, number of unique visitors, number of total visits, all selected by date range are just a few of the reporting options. Graphs are used extensively to assist in the analysis of what can be a very large amounts of data.