Performance analysis of Maël Salmon's Blog (Student number : 10532297)

       As part of Module B9DM105 Data and Digital Marketing Analytics, we were tasked with creating and managing a blog. The latter has been linked of articles on Big data in order to generate traffic. In this article, we will look at the website statistics using Google analytics.It's quite hard to estimate the efficiency of this blog because of the lack of baseline data and the short term duration.

Audience overview :

The report above highlights the audience metrics for my blog, such as :

• How many users
• How many sessions
• How many views
• How many time is spent by session
• The bounce rate

These metrics shows some interesting elements. First, the number of session is almost 3 time higher than the number of users, it means that a single user has come many times on my blog. Moreover, the average session duration is 07:39 min, so every user spend enough time to deeply read my articles on each session. Finally, the bounce rate is 38.60%, so 61.40% of visitors are willing to stay and spend time on the blog.

Acquisition overview :

These data show the source of my blog's vistors, what path did they take to land on my website. As i only promoted the blog through my personnal network, the majority of the trafic came through Direct, 58% (URL) .and Social network a little bit, 17%.

Behavior overview :

This report shows element like : 

• Total page views
• Unique page views
• Average time on a page
• Bounce rate
• Exit rate

Audience Hardware :

This table highlights from what devices users visited the blog, we can see that most of them used a desktop.