Google Analytics Pulling Data Before Tracking ID Placed into Blogger
A few weeks ago I decided to set up Google Analytics for my Blogger account, but ended up getting distracted and didn't put the Tracking ID and code into Blogger. Today I went back in to connect the two and it shows a small amount of data being pulled, but I don't know from where. It's showing a 100% bounce rate and a random 84 views, which I know is incorrect. I went ahead and put the tracking ID and code into Blogger and am waiting to see if anything changes.
Does anyone know where this random data is coming from? I'm afraid I've messed the whole process up and am not sure what to do.
My blog is pardonmuah.com
Thank you! Any advice or guidance is appreciated!
Re: Google Analytics Pulling Data Before Tracking ID Placed into Blogger[ Edited ]
July 2016 - last edited July 2016
Hi Pardom M :-)
It seems your blog is setup within an frame on your custom domain name.
if you go here view-source:http://pardonmuah.com/
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01//EN" "http://www.w3.org/TR/html4/strict.dtd"> <html> <head> <title>pardonmuah.com</title> </head> <frameset rows="100%,*" border="0"> <frame src="http://pardonmuah.blogspot.com" frameborder="0" /> <frame frameborder="0" noresize /> </frameset> <!-- pageok --> <!-- 02 --> <!-- --> </html>
that is the source code for the page your blog at blogspot sits in
Usually for framed content, the tracking code should also go onto that parent frame before the closing </head> as well, or you are likely to be losing data
There is more info here about this type of setup in relation to ga tracking
In regards to the data that has appeared without any tracking code installed, it is most likely spam data (not from real visits to your website).
This is a known issue not just for GA but a variety of tracking services.
There is a setting in the View setting page to block known bots etc from being tracked
What i suggest you do is create a new View, leave the original View without any filters applied
and then go to this article to learn about the different types of spam data and what filters and segments
you can setup to help counteract the issue.
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