Wouldn’t it be nice to have an idea of where your website is doing great and where it’s losing users? That’s what web analytics software offers, and Google Analytics is by far the most popular option.
Google Analytics is a service used to track and analyze website traffic. It monitors data on things like sessions duration, referring website, browser type, and bounce rate. That data can then be distilled into 78 different reports so you can make the best marketing decisions possible regarding your website.
Google Analytics reports are amazing at telling you what is happening on your site or app, but they’re not so good at telling you why. The quantitative data that you can get from a Google Analytics Report can be extremely insightful if you understand it. If you want an even deeper dive into Google Analytics and how to use it to improve marketing, you can hire an expert.
How Does Google Analytics Work?
Properties sounds like it would be obvious, but in this situation, the Sri Lanka Phone Number property ID tells the software how to break up the data. A property in the web analytics sense is an identifier tag add to the code. Several sites can use the same property ID if that’s what works best, or they can use more than one on a single site, app, or blog.
This is similar to the way addresses are broken up in a strip mall. Each unit can receive its own mail individually or several stores with the same owner can receive mail at one storefront location.
A reporting view is where you can see the data and access reports in a Google Analytics account. Google Analytics automatically creates an unfiltered view with all of the data on it. You can create as many views as you like to help you see traffic data for visitors from certain countries, formats like apps or websites, or restricted views that only people with certain permissions can see.
Making multiple views is encouraged. If you use a filter to exclude data on the original view, that data isn’t track or stor at all. If you delete a filter, the historical data is go as well. The best practice is to copy and create multiple views.
A dimension is an attribute of the data. The primary dimension is the default attribute by which the data is sorte. The report will make a row for each of the dimension’s values. If the primary dimension is “city,” then the data for New York, Denver, and Los Angeles will be separat into rows for each of those locations.