Performance Analysis - Carla Martins de Oliveira (10532392)
This is the analysis of my personal blog for the lecturer of Data & Digital Marketing
Analytics, as part of the Master of Science in Digital Marketing.
Analytics, as part of the Master of Science in Digital Marketing.
During this short period of time, from 27th of January, when the first post was
released, we can check the analytic for this period of time.
released, we can check the analytic for this period of time.
The graphic above can tell us the following topics about the audience:
The amount of unique users visiting the blog
- The amount of sessions - During the period of these past six weeks, I had 195 sessions made. Considering the fact that I was not sharing a lot the content, it is an acceptable number.
- Number of session per user - The average of session per user was 2.60 - Nearly 3 users used to return to read my content.
- Page views - And the total amount of page views was 454. Considering the fact that five articles was being published, not accounting this one.
- Pages/sessions - With an average of 2.33 page sessions.
- Average session duration - 01:36 - proper amount of time to read the content.
- Bounce rate - 63.59%
- Location and language from the visitors - We could identify people mostly in Ireland, which was the country focused on.
- The amount of new and returning visitors which was 75 new visitors and 73 returning visitors.
With the analysis below we can see where the visitors come from. It was mainly shared
through social media (mostly LinkedIn) - 34.8%, direct (through URL shared) - 53.6% and
some referral - 11.6%.
Organic search is not measurable, as SEO was not used to this project itself.
through social media (mostly LinkedIn) - 34.8%, direct (through URL shared) - 53.6% and
some referral - 11.6%.
Organic search is not measurable, as SEO was not used to this project itself.
Conversions were not the main goal of the creation of this blog, as it cannot be
measurable either.
measurable either.
Behaviour overview tell us more about the page view and a bit of detail about the
performance of each of them.
performance of each of them.
As newest the post, the last interaction we can see on it, as this is an analysis of a
short period of time (27th January until 26th February).
short period of time (27th January until 26th February).
As mentioned before, we are not analysing conversions, as it does not apply.
As the articles were being posted, we can clearly see the amount of users being increased
every week (articles were being posted weekly).
And also, a bit more in detail how new and returning user were performing.
every week (articles were being posted weekly).
And also, a bit more in detail how new and returning user were performing.
The mobile overview shows us the percentage of people using mobile and desktop to
access the blog. And we clearly see that the visitors were using mobile more than desktop.
I deeply conclusion was not able to be provided, as for that, we would have to compare
competitor and go further with the analysis.
For the purpose of the project, it was a satisfactory performance, considering the minimum
requirement, which was 3 comment on each post, and for that we would need at least 10
visitors per page as we can clearly see that was successfully reached.
access the blog. And we clearly see that the visitors were using mobile more than desktop.
I deeply conclusion was not able to be provided, as for that, we would have to compare
competitor and go further with the analysis.
For the purpose of the project, it was a satisfactory performance, considering the minimum
requirement, which was 3 comment on each post, and for that we would need at least 10
visitors per page as we can clearly see that was successfully reached.
Source: Google Analytics
This is the blog of Carla Martins de Oliveira.
Student number 10532392
Msc in Digital Marketing.
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