Web Analytics 101: What You Need to Know
There’s one truth that shapes the Internet, one law that can’t be denied: all sites are dependent upon the goodwill of their visitors. No page can survive without readers; no business can be sustained without clients.
Web analytics is a process that all must recognize. Defined simply: it’s the examination of various elements (such as traffic, bookmarking and server locations) so that a site can be optimized. All data is tracked in real time, ensuring that the facts are relevant. It utilizes different tools – such as counters and map clusters – to easily explain numbers…and spare individuals the need to trawl through facts on their own.
Here are some free tools and tips for using each one you may find useful when picking the best web analytics utility for your blog. Don’t forget that you can actually use all of them, compare and ultimately stick to what seems most useful and usable!
1. Google Analytics
Google Analytics is your obvious first choice. It can be used both by newbies (like most of us are) as well as by advanced SEO experts. It has tons of features (which you can ignore if you don’t know how to use them). Here’s a quick video overview:
2. Get Clicky
Do you want to know who is using your website right now? Get Clicky is great for tracking real-time visitors. But besides that, it can also be used to collect web analytics data over time, analyze it and monitor the progress.
3. Site Meter
This is one of the most popular blog analytics tools. It is free and provides details information for the last 100 visitors. The best thing about the tool is that it is really easy to use, so I suggest everyone give it a try at least for educational purposes (and to be able to compare):
The desire to generate profits from pages is a common one. Users seek to form their own companies, create their own rules – but those rules must be complemented with logic. All statistics must be noted and all traffic must be followed. No business, website or online customer service can be effective when it’s not fully understood.