Getting Traffic for Analytics

Hello Everybody,

This week we will be covering Intro to Google Analytics's chapter 3, Getting Traffic for Analytics.
And yes, this post will also be talking about Facebook.

I know guys, you're getting bored with all the Facebook talk by now, but I swear this post focuses on it in a different way. Because this post is about getting traffic.

In order to get into analytics you need data to analyze. The way you get data is through traffic. So before we can actually start doing anything productive, we need to promote. An easy way to do this is through your own social media, mainly LinkedIn or Facebook. For LinkedIn you can simply share the link of your blog or a particular post in the update option. For Facebook you can share it as a status. When writing your blog posts, one thing you should keep in mind is adding photos to your posts. When sharing these links on Facebook, it will automatically feature that photo you had in the post, which will attract more eyes and views (trust me, I'm a graphic designer, its what I do). Also make sure you keep updating your blog, like around once a week, this will keep your data nice and fresh with new pages to look into.

If you're having trouble getting traffic to your blog posts through your Facebook status, you might be tempted to peak into promoting your post. Yes this does cost some money, but it helps get your post out there more.

Another way would be to create a Facebook ad campaign. These are fairly simple to create. You enter your link from your blog. You upload a high quality large image, otherwise it won't post your ad. You write a headline and a short description (it will tell you how many characters you have available). You are more likely to get more clicks and views if you specify the interests for your ad, because it will try to focus on your target audience. You can set up your payments either day by day, or lifetime, really whatever floats your boat.

And now you will get more traffic, which means more data, which means let's get to analyzing.

Until next time,
Caitlin Campbell