Analysis of my blog - Dylan O'Regan 10343212
The analysis of my blog "Dylan's Digital Dealings Diary", an alliteration based name, was conducted on Februrary 26th and encompassed the data on my blog between January 26th 2020 up until February 26th 2020.
Figure 1: Realtime metrics
When this data was taken, there was 1 active user on the website. 100% of my traffic was coming from Blogger, where other students would find my account to provide comments and insights and main source of traffic was my first blog, which was an introduction to big data.
Figure 2: Audience metrics
The audience metrics provided a closer look into the analytics of the users interaction on the website. I had 38 users on my website in total, encompassing 103 sessions. On average these sessions lasted 3 minutes and 10 seconds with users exploring 3.61 pages per session. I had 372 pageviews across my blogs and a bounce rate of 39.81% which is an encouraging performance.
Figures 3 & 4: Language and Country metrics
As my course, Msc in Digital Marketing undertaken in Dublin Business School, is quite diverse, I wanted to highlight this using the country and language metrics. As we can see English as the chosen language makes up 83.78% of the user's on my blog. And 86.49% were commenting/providing insights from Ireland, with the other countries being Bosnia & Herzegovina, United Kingdom, France and India. This further highlights the diversity of my blog and the reach it has.
Figure 5: Acquisition metrics
The acquisition metrics show the range of where users came from, whereas 11 were from referral but 26 were direct to blog. The direct users represented the highest bounce rate of 42.11%.
Figure 6: Device metrics
The device metrics showed that 65.22% were from desktop whereas 34.78% were from mobile. I believe the mobile numbers would have been higher if users were able to comment on blogs via iPhone.
This is a brief analysis of my blog in the short life it had. The blog showed good engagement and good bounce rate. My blog showed good engagement with an average of 9.6 comment per blog, of which I replied to all, and I found this to be a very useful and rewarding assessment.
Figure 1: Realtime metrics
When this data was taken, there was 1 active user on the website. 100% of my traffic was coming from Blogger, where other students would find my account to provide comments and insights and main source of traffic was my first blog, which was an introduction to big data.
Figure 2: Audience metrics
Figures 3 & 4: Language and Country metrics
As my course, Msc in Digital Marketing undertaken in Dublin Business School, is quite diverse, I wanted to highlight this using the country and language metrics. As we can see English as the chosen language makes up 83.78% of the user's on my blog. And 86.49% were commenting/providing insights from Ireland, with the other countries being Bosnia & Herzegovina, United Kingdom, France and India. This further highlights the diversity of my blog and the reach it has.
Figure 5: Acquisition metrics
The acquisition metrics show the range of where users came from, whereas 11 were from referral but 26 were direct to blog. The direct users represented the highest bounce rate of 42.11%.
Figure 6: Device metrics
The device metrics showed that 65.22% were from desktop whereas 34.78% were from mobile. I believe the mobile numbers would have been higher if users were able to comment on blogs via iPhone.
This is a brief analysis of my blog in the short life it had. The blog showed good engagement and good bounce rate. My blog showed good engagement with an average of 9.6 comment per blog, of which I replied to all, and I found this to be a very useful and rewarding assessment.
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