Viewing the data we created
Last week you interacted with a simple 3-page website and created Google Analytics data. The results of this experiment for July 2019 will be displayed in this and the next step.
Results 14 to 21 July 2019
The graph in Figure 1 shows that 293 users visited the test website https://cs-dc.uk/flga_1.html. These users had 385 sessions, so some people visited the test website more than once :-) Our bounce rate was 11.952%, which means that 11.95% of our users just visited one page. The average session duration was two and a half minutes - unsurprisingly people do not spend a lot of time on our simple website.
Figure 1. Graph of visitors to our test website 14-21 July 2019
Figure 2 shows where we all came from. As you can see people from all around the world accessed our test website.
Figure 2. Map showing where we all came from, 14-21 July 2019
Figure 3 gives the country data in more detail. Our users came from the UK, Nigeria, USA, India, Spain, Australia, Canada, Malaysia, Brazil, Germany, Ireland, Ukraine, Vietnam, South Africa, China, Columbia, Egypt, Kenya, Netherlands, Pakistan, and many other countries worldwide.
Figure 3. User numbers by country, 14-21 July 2019
Figure 4 shows a display of the interests of the users of our website. Although these data came from about half of our users, they give remarkable insights.
Figure 4. User Interests, 12-20 January 2019
Searchenginewatch.com gives the following definitions:
In-Market Audiences: An In-Market Audience is composed of folks who are actively searching and comparing your product/service. Individuals in this audience have indicated that they are actively in-market for a specific category such as “Autos & Vehicles” or “Real Estate” or “Travel” or any of the other audiences currently available from Google.
Affinity Audiences: This targeting option takes more of a long-view in terms of audience creation. Rather than looking at one particular purchase intent, like In-Market, Affinity targeting analyzes someone’s overall interests, passions, and lifestyle to get a better sense of their overall identity.
Following this taste of the kind of information Google Analytics can collect and display, the next step considers how Google Analytics can answer questions about website use.