Analysing Data from Google Analytics



It is with great joy that today I write the last post of this blog. It was 12 posts that I wrote with a lot of research, learning a lot from the posts of my colleagues in the Digital Marketing course at Dublin Business School. In my last post, I will analyse the most useful data that Google Analytic provided to understand what the behaviour of the audience for the blog was, in this case, the primary audience was all classmates.

GA can capture several numbers regarding the audience's behaviour and characteristics. That data is highly valuable for the blog's strategy always to remain efficient. I considered 4 main Google Analytics metrics to monitor my blog.

New Visitors

Having loyal readers is always positive for any type of blog, but we also need to have new visitors regularly.

This is one of the metrics of Google Analytics that we must monitor closely because it shows the real strength of attraction of the content.

If that rate is falling, it is necessary to implement an action plan as soon as possible.

Through GA I realised that since the creation of this blog in March 2020, I had 19 new users (61.3%) and 12 (38.7%) were returning visitors.



 Conversion Goals / Bounce rate

 At the beginning of this blog, goals were set to analyze how effective the content I wrote was to attract the audience. The primary goal was Engagement Time, where I set a goal for my audience to stay at least 3 minutes on my blog. I was able to analyze that the Engagement Time per user was 3:32 minutes. The second goal was to get the audience to collaborate with the content. I intended to analyze how many people entered the blog and commented on any of the posts, I realized that I must not have activated the goal correctly because the classmates commented on the blog, but I couldn't get data for that.


The goal of a blog or website should be to ensure that people spend more and more time on the site - preferably visiting multiple pages.

So, I kept an eye on the bounce rate to see if the content was being able to satisfy visitors and engage them in other posts. The Bounce Rate for my blog was 33.76%.


Most Popular Pages

One of the best metrics in Google Analytics is being able to analyze which pages are most popular.

These data are highly important because they can dictate the direction of the editorial strategy for the future.

The image below shows what were the most visited pages on my blog.

Traffic Sources

By knowing where the hits come from, I can stay on top of which channels are contributing to the blog's success - such as search engines, social networks, among others.

In the analysis of my blog, I noticed that most of the blog visits came as a reference through the DBS eLearning platform.

If I decide to keep this blog, this is one of the Google Analytics metrics that offer a faithful diagnosis about how the content is impacting the internet. From there, strategic partnerships or opportunities can arise that cannot be missed.


To generate better results each month, we need to be updated with the strategy's performance data. Analysing the best Google Analytics metrics is the ideal way to stay on a route to success. Therefore, we must make regular surveys of these numbers to follow our own evolution over time. 

References:

Mateus Chiavassa (2017) Quais são as 5 principais métricas do Google Analytics para blog?, Available at: https://vooozer.com/blog/marketing-digital/principais-metricas-do-google-analytics/ (Accessed: 21 th June 2020).


Comentários

  1. Anônimo21 de junho de 2020 às 12:33

    Congrats on the last blog Lucas! Nice one on the most popular pages, I hadn't thought of that one!

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