Counters and Trackers

Get a free Blog tracker from IceRocket
http://www.icerocket.com/
http://tracker.icerocket.com/
Blog Statistics for Free
What is the IceRocket™ Blog Tracker?
It is an invisible tracker that will count your blog visits and other blog statistics. This product is completely free! We will not put any ads on your blog.

How to start?
All you need to do is register for an account and insert a small piece of code into your blog so we will start gathering statistics for your blog. Then you will be able to analyse and monitor all the visits to your blog in real-time!

also you will need a hit counter

i use http://www.website-hit-counters.com/ because it is free and easy

Free Website Hit Counter and Webmaster Resources!
Welcome to Website-Hit-Counters.com! We provide one of the most comprehensive selections of free, attractive and very reliable website hit counters, web page counters, traffic counters and web master tools and resources available anywhere on the Internet. Our website hit counters are extremely quick and easy to install on your website. So get started today by selecting a web site hit traffic counter below or from our website counter menu to the left and start tracking hits to your website today!


You could also use Google Analytics

Google Analytics (abbreviated GA) is a free service offered by Google that generates detailed statistics about the visitors to a website. Its main highlight is that the product is aimed at marketers as opposed to webmasters and technologists from which the industry of web analytics originally grew.

GA can track visitors from all referrers, including search engines, display advertising, pay-per-click networks, email marketing and digital collateral such as links within PDF documents.

Integrated with AdWords, users can review online campaigns by tracking landing page quality and conversions (goals). Goals might include sales, lead generation, viewing a specific page, or downloading a particular file. These can also be monetized. By using GA, marketers can determine which ads are performing, and which are not, providing the information to optimise or cull campaigns.

GA's approach is to show high level dashboard-type data for the casual user, and more in-depth data further into the report set. Through the use of GA analysis, poor performing pages can be identified using techniques such as funnel visualization, where visitors came from (referrers), how long they stayed and their geographical position. It also provides more advanced features, including custom visitor segmentation.

Users can officially add up to 50 site profiles. Each profile generally corresponds to one website. It is limited to sites which have a traffic of less than 5 million pageviews per month (roughly 2 pageviews per second), unless the site is linked to an Adwords campaign.
www.google.com/analytics/


Web analytics is the measurement, collection, analysis and reporting of internet data for purposes of understanding and optimizing web usage.

There are two categories of web analytics; off-site and on-site web analytics.

Off-site web analytics refers to web measurement and analysis irrespective of whether you own or maintain a website. It includes the measurement of a website's potential audience (opportunity), share of voice (visibility), and buzz (comments) that is happening on the Internet as a whole.

On-site web analytics measure a visitor's journey once on your website. This includes its drivers and conversions; for example, which landing pages encourage people to make a purchase. On-site web analytics measures the performance of your website in a commercial context. This data is typically compared against key performance indicators for performance, and used to improve a web site or marketing campaign's audience response.

Historically, web analytics has referred to on-site visitor measurement. However in recent years this has blurred, mainly because vendors are producing tools that span both categories.

The remainder of this article concerns on-site web analytics.


On-site web analytics technologies

Many different vendors provide on-site web analytics software and services. There are two main technological approaches to collecting the data. The first method, logfile analysis, reads the logfiles in which the web server records all its transactions. The second method, page tagging, uses JavaScript on each page to notify a third-party server when a page is rendered by a web browser. Both collect data that can be processed to produce web traffic reports.


AWStats is an open source Web analytics reporting tool, suitable for analyzing data from Internet services such as web, streaming media, mail and FTP servers. AWstats parses and analyzes server log files, producing HTML reports. Data is visually presented within reports by tables and bar graphs. Static reports can be created through a command line interface, and on-demand reporting is supported through a web browser CGI program.

AWStats supports most major web server log file formats including Apache (NCSA combined/XLF/ELF log format or common/CLF log format), WebStar, IIS (W3C log format) and many other common web server log formats. Developers can contribute to the AWStats project through SourceForge.net.
http://awstats.sourceforge.net/


The Webalizer is a GPL application that generates web pages of analysis, from access and usage logs, i.e. it is web log analysis software. It is one of the most commonly used web server administration tools. It was initiated by Bradford L. Barrett in 1997. Statistics commonly reported by Webalizer include: hits; visits; referrers; the visitors' countries; and the amount of data downloaded. These statistics can be viewed graphically and presented by different time frames, such as per day, hour, or month.
http://www.webalizer.org/


Web log analysis software (also called a web log analyzer) is a simple kind of Web analytics software that parses a log file from a web server, and based on the values contained in the log file, derives indicators about who, when, and how a web server is visited. Usually reports are generated from the log files immediately, but the log files can alternatively be parsed to a database and reports generated on demand.