Another way to measure the success of a website is with crawl frequency. This can be a quick way to measure the success of fresh content sources added to your site. Task completion rates are another helpful tool. This tool helps you see if visitors to your site perform an action to complete a task found on a web page. An example would be if someone went to your FAQs page and clicked on a link to see an article. This is a great way to see if the content placed on each page works.

With all the metrics tools that are used, web traffic data may well be the most effective and useful. Reasons for this is that it has a lot of valuable information such as the volume of visitors that come to your website, the number of bytes sent and received, what pages were seen, the page the visitor came from, date and time of request made and many other helpful information. Web transactional data is another way to measure a website. When a transaction occurs on a site, the data is recorded and becomes viewable as part of the web metric tools. Data that becomes available are the number of orders process, the number of customers, the size of the order and the total of daily revenues.

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To find out a website’s size and credibility there are several great tools that can help. One such tool is Google Page Rank. Page Rank is a system that was developed by Google; it is an algorithm that ranks websites for Google’s Search Engine results. In truth, it reflects how valuable Google believes a website is. Another is Alexa Ranking. Alexa is the ranking system of a subsidiary company of Amazon. It represents the visitor traffic of a certain website. Alexa ranks websites based on how much traffic they have. You can create an account at

WOT, which stands for Web of Trust, is a User Rating based number which shows the trustworthiness of a website. Interestingly, WOT displays two metrics: appropriateness for children and website trustworthiness. Then, there is Compete. Compete is a free online tool that helps you measure how many visitors come to your website and then be able to compare it to other websites. Data is collected from user behavior across various devices and from a mixed sample of the population studies.