Web analytics is the collection, analysis and reporting of
website data. Website data to determine the success or failure
of those goals and to drive strategy and improve the user’s
Site visitors’ goals, identifying key performance indicators (KPIs)
to measure the success or failures for those objectives and calls-to-action.
Web Analytics Best Practices: Web analytics can strongly support the qualitative research.
Some best practices to keep in mind related to this field are:
• Data-driven for decision making.
• Providing traffic reports.
• Always provide insights with the data.
• Communicate clearly with stakeholders.
Onsite Web Analytics Definitions:
Hits: Really browsing pages, that means page is downloaded to view it.
Count of hits will indicate web traffic.
Page Views: How many pages are viewed by visitors.
Unique Visitors: Based on the ip address, we can make unique visitors count.
Impression: How many page impressions. While browsing how many pages are getting viewed.
Bounce Rate: That is count of single page visits.
Average page view duration: By time count it will come.
Clicks: If any one clicks on any add of the page, then it will be counted as click.
Cookies: For every page some images or image will be with that, those images should have a folder in the server, that folder should be specific, simple and subjective.
Those also should be verified properly. For example in a website all icons should be one folder, images will be one folder likewise.
Generally web analysis websites will maintain software to count all these for each website.