MKTG Week 5 Intro To Google Analytics Chapter 4 Performance Of Campaigns
In chapter four of Introduction to Google Analytics we are learning about reviewing performance of campaigns from the previous chapter. When analyzing this data there are things to look out for such as demographics of the viewers but also have some negative data points like bots.
The first step to reviewing your post is looking at the sites analytics. In the book they use a Facebook ad to show how much traffic you had from payment and also how much from regular views. This will help you to understand if it is worth it to continue promoting your posts. Another thing you can look at when reviewing is where the viewers are located. Location is huge when it comes to marketing and the more you can find out about your consumer the better you can target your market.
One possible problem you can find when reviewing is the placement of bots that are viewing. These are automated sites that float the web creating clicks. The way you can spot the bots is looking at their URL or looking when the last time the blog was updated. These bots can interrupt your data by providing false information so make sure you are looking for them.
When it comes to looking at performance it is key to know what data you are finding and where it is coming from. I the example in the book the data was slightly changed because of a bot adding viewers. By understanding the data we can not add them to our analysis.
The first step to reviewing your post is looking at the sites analytics. In the book they use a Facebook ad to show how much traffic you had from payment and also how much from regular views. This will help you to understand if it is worth it to continue promoting your posts. Another thing you can look at when reviewing is where the viewers are located. Location is huge when it comes to marketing and the more you can find out about your consumer the better you can target your market.
One possible problem you can find when reviewing is the placement of bots that are viewing. These are automated sites that float the web creating clicks. The way you can spot the bots is looking at their URL or looking when the last time the blog was updated. These bots can interrupt your data by providing false information so make sure you are looking for them.
When it comes to looking at performance it is key to know what data you are finding and where it is coming from. I the example in the book the data was slightly changed because of a bot adding viewers. By understanding the data we can not add them to our analysis.
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