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Integrating bitly 
with Google Analytics 
LEARN MORE 
Andaiye Taylor | Director, Content Marketing | bit.ly/andaiye
Integrate bitly with Google Analytics for 
deeper insight into social media performance 
You’ve posted a link to content on your Facebook page. It 
racked up comments, shares, and likes. Great! 
...Right? 
Well, probably. But if you want to understand how much your social 
media posts contribute to deeper goals – such as actions on your 
website – while still getting the branding, compactness, and real-time 
social media insights that bitly short URLs provide, you can use bitly 
along with your analytics tool. 
Read on to learn how to implement a test manually. 
A site analytics package, like Google Analytics, which we’ll use 
for this example 
A short URL system, like Bitly Enterprise 
1 
What you’ll need: 
1 
2
STEP 1 
Pick a variable to test 
Pick one characteristic of your posts you’d like to test, just to get your 
feet wet. Some thought starters: 
2 
• Time of day 
Morning versus afternoon posts 
• Format 
Normal links versus photo posts 
• Content 
Product updates versus engagement posts 
STEP 2 
Set up your tracking 
Definitions 
A tracking parameter is a simple label you attach to the end of 
a URL in order to track where web traffic is coming from, and 
what types of links are getting clicks. The parameters used by 
Google Analytics, which we are using in this example, are called 
UTM codes. This is what you will use to analyze the 
characteristics you decided to test in Step 1.
3 
STEP 2 
Set up your tracking (continued) 
A UTM code is made up of two elements: a variable and a value. 
Google Analytics comes with five preset variables: “source”, 
“medium”, “term”, “content”, and “campaign”, preceded always by 
the prefix “utm_”. They recommend uses for each of these, but 
you can use them however you want, as long as you do so con-sistently. 
For instance, you might always use the “utm_source” 
parameter to identify the website where your link will appear. 
A value defines the parameter in specific instances. If you post 
your link on Facebook, the value for the “source” variable might 
be “Facebook” (utm_source=Facebook); if you post it on Twitter, 
the value might be “Twitter” (utm_source=Twitter). 
Add tracking to your URLs to identify the post characteristics you 
decided to test in Step 1. Here’s how we recommend you use the three 
primary Google Analytics variables: 
• Campaign source (utm_source): Where are you placing the 
content? Example: Facebook, Twitter, LinkedIn, Google Plus 
• Campaign medium (utm_medium): Paid or organic? 
Example: Facebook timeline vs. ad; regular vs. promoted tweet 
• Campaign name (utm_campaign): What broader campaign 
does this fall into for your brand? Example: Winter Sale 2013, 
January Fashion Features, etc.
4 
STEP 2 
Set up your tracking (continued) 
There are two additional, optional variables. Here’s how we 
recommend using them: 
• Campaign term (utm_content): Use this to identify the 
characteristic of your post you decided to track in Step 1 
• Campaign content (utm_keyword): Use this to identify these 
as bitly URLs. This lets you filter for bitly URLs within Google 
Analytics reporting 
If you’re posting to your brand’s Facebook timeline in the morning 
about your winter sale, your URL could look like this: 
http://www.fakefashionco.com?utm_source=facebook&utm_ 
campaign=wintersale2013&utm_medium=timeline&utmcon-tent= 
morning&utm_keyword=bitly 
Tip: You can use Google’s URL builder to enter the values for each 
of the variables in your URL, but you can also do this manually. 
Use the example above as a guide: at the end of your URL, add a 
question mark (?) to begin the tracking string. Then add 
“utm_VARIABLE=VALUE”, inserting the appropriate Google 
Analytics variables and their corresponding values. Separate 
multiple variable-value pairs using an ampersand (&).
5 
STEP 3 
Optimize the link for social media 
A long link with lots of parameters isn’t a great look for a social 
media post, so how do you make it look more presentable, and get 
the other unique benefits Bitly Enterprise provides? Create a 
branded custom link by shortening the URLs. Bitly Enterprise also 
gives you more control by letting you create a custom “hash”. These 
are the characters after the “/”. 
http://www.fakefashionco.com?utm_source=facebook&utm_ 
campaign=wintersale2013&utm_medium=timeline&utmcon-tent= 
morning&utm_keyword=bitly 
STEP 4 
Start posting 
fakefash.io/winter2013 
Post as you normally would. Just make sure to use the correct URL 
for the correct post. If you paste your afternoon link in the morning, 
or vice-versa, your analysis will be muddled.
6 
STEP 5 
Analyze 
Tip: Before you try to make sense of your results, be sure to 
collect data over an extended amount of time. This will help 
smooth out the effect other factors might have on performance 
differences. 
It’s also a good idea to identify other characteristics of your posts, 
so that you can figure out whether some other variable might 
have affected performance. One way to do this within Google 
Analytics is to add multiple values to your utm_content variable, 
separated by a character you can use to separate those values 
later. This might look something like: &utm_content=morning_ 
productupdate_largephoto. 
Note that reporting on this type of analytics implementation 
is outside of the scope of this guide, which focuses on reporting 
against a single characteristic. 
If you set up your URLs properly, you can easily look at data in 
Google Analytics to learn how well each category you tested drove 
engagement with your content. 
You can view results in Google Analytics by setting up a custom 
widget. If you want to see what the discrepancy is between average 
pageviews per visit and time spent on site for content posted in the 
morning versus the afternoon, here’s how you’d do it (assuming you
6 
STEP 5 
Analyze (continued) 
set up your tracking according to the instructions above): 
• Navigate to Google Analytics 
• Select the appropriate account 
• If the UI doesn’t default to the “Reporting” tab, select it 
• Select “Dashboards” on the left 
• Select the default dashboard (“My Dashboard”), or create a new 
one if you choose 
• Click “+Add Widget” 
• Select “Table” 
• Add a dimension: 
Ad content 
• Add a metric: 
Pages/Visit and 
Avg. Time on Page 
• Add Filters: 
Keyword exactly matching bitly 
Source exactly matching Facebook 
Medium exactly matching Timeline 
• Name your widget 
• Save
77 
STEP 5 
Analyze (continued) 
If you follow our example, you’ll see 
performance data for two types of 
content: “morning” and “afternoon”. 
Google Analytics, or any other 
analytics package you use, will have 
lots more options than the ones we 
used, so feel free to experiment! 
• Are you totally lost, but want to get this great insight? 
• Do you get the gist, but need help with the implementation? 
• Would you like to explore ways to do a deeper integration between 
your analytics and Bitly Enterprise? 
If the answer to any of these questions is “yes”, contact one of our 
experts for a free consultation. 
Request a free consultation 
Get social. 
Like us on Facebook 
Follow us on Twitter 
Join us on LinkedIn

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Bitly-Enterprise-Google-Analytics-Implementation-Guide

  • 1. Integrating bitly with Google Analytics LEARN MORE Andaiye Taylor | Director, Content Marketing | bit.ly/andaiye
  • 2. Integrate bitly with Google Analytics for deeper insight into social media performance You’ve posted a link to content on your Facebook page. It racked up comments, shares, and likes. Great! ...Right? Well, probably. But if you want to understand how much your social media posts contribute to deeper goals – such as actions on your website – while still getting the branding, compactness, and real-time social media insights that bitly short URLs provide, you can use bitly along with your analytics tool. Read on to learn how to implement a test manually. A site analytics package, like Google Analytics, which we’ll use for this example A short URL system, like Bitly Enterprise 1 What you’ll need: 1 2
  • 3. STEP 1 Pick a variable to test Pick one characteristic of your posts you’d like to test, just to get your feet wet. Some thought starters: 2 • Time of day Morning versus afternoon posts • Format Normal links versus photo posts • Content Product updates versus engagement posts STEP 2 Set up your tracking Definitions A tracking parameter is a simple label you attach to the end of a URL in order to track where web traffic is coming from, and what types of links are getting clicks. The parameters used by Google Analytics, which we are using in this example, are called UTM codes. This is what you will use to analyze the characteristics you decided to test in Step 1.
  • 4. 3 STEP 2 Set up your tracking (continued) A UTM code is made up of two elements: a variable and a value. Google Analytics comes with five preset variables: “source”, “medium”, “term”, “content”, and “campaign”, preceded always by the prefix “utm_”. They recommend uses for each of these, but you can use them however you want, as long as you do so con-sistently. For instance, you might always use the “utm_source” parameter to identify the website where your link will appear. A value defines the parameter in specific instances. If you post your link on Facebook, the value for the “source” variable might be “Facebook” (utm_source=Facebook); if you post it on Twitter, the value might be “Twitter” (utm_source=Twitter). Add tracking to your URLs to identify the post characteristics you decided to test in Step 1. Here’s how we recommend you use the three primary Google Analytics variables: • Campaign source (utm_source): Where are you placing the content? Example: Facebook, Twitter, LinkedIn, Google Plus • Campaign medium (utm_medium): Paid or organic? Example: Facebook timeline vs. ad; regular vs. promoted tweet • Campaign name (utm_campaign): What broader campaign does this fall into for your brand? Example: Winter Sale 2013, January Fashion Features, etc.
  • 5. 4 STEP 2 Set up your tracking (continued) There are two additional, optional variables. Here’s how we recommend using them: • Campaign term (utm_content): Use this to identify the characteristic of your post you decided to track in Step 1 • Campaign content (utm_keyword): Use this to identify these as bitly URLs. This lets you filter for bitly URLs within Google Analytics reporting If you’re posting to your brand’s Facebook timeline in the morning about your winter sale, your URL could look like this: http://www.fakefashionco.com?utm_source=facebook&utm_ campaign=wintersale2013&utm_medium=timeline&utmcon-tent= morning&utm_keyword=bitly Tip: You can use Google’s URL builder to enter the values for each of the variables in your URL, but you can also do this manually. Use the example above as a guide: at the end of your URL, add a question mark (?) to begin the tracking string. Then add “utm_VARIABLE=VALUE”, inserting the appropriate Google Analytics variables and their corresponding values. Separate multiple variable-value pairs using an ampersand (&).
  • 6. 5 STEP 3 Optimize the link for social media A long link with lots of parameters isn’t a great look for a social media post, so how do you make it look more presentable, and get the other unique benefits Bitly Enterprise provides? Create a branded custom link by shortening the URLs. Bitly Enterprise also gives you more control by letting you create a custom “hash”. These are the characters after the “/”. http://www.fakefashionco.com?utm_source=facebook&utm_ campaign=wintersale2013&utm_medium=timeline&utmcon-tent= morning&utm_keyword=bitly STEP 4 Start posting fakefash.io/winter2013 Post as you normally would. Just make sure to use the correct URL for the correct post. If you paste your afternoon link in the morning, or vice-versa, your analysis will be muddled.
  • 7. 6 STEP 5 Analyze Tip: Before you try to make sense of your results, be sure to collect data over an extended amount of time. This will help smooth out the effect other factors might have on performance differences. It’s also a good idea to identify other characteristics of your posts, so that you can figure out whether some other variable might have affected performance. One way to do this within Google Analytics is to add multiple values to your utm_content variable, separated by a character you can use to separate those values later. This might look something like: &utm_content=morning_ productupdate_largephoto. Note that reporting on this type of analytics implementation is outside of the scope of this guide, which focuses on reporting against a single characteristic. If you set up your URLs properly, you can easily look at data in Google Analytics to learn how well each category you tested drove engagement with your content. You can view results in Google Analytics by setting up a custom widget. If you want to see what the discrepancy is between average pageviews per visit and time spent on site for content posted in the morning versus the afternoon, here’s how you’d do it (assuming you
  • 8. 6 STEP 5 Analyze (continued) set up your tracking according to the instructions above): • Navigate to Google Analytics • Select the appropriate account • If the UI doesn’t default to the “Reporting” tab, select it • Select “Dashboards” on the left • Select the default dashboard (“My Dashboard”), or create a new one if you choose • Click “+Add Widget” • Select “Table” • Add a dimension: Ad content • Add a metric: Pages/Visit and Avg. Time on Page • Add Filters: Keyword exactly matching bitly Source exactly matching Facebook Medium exactly matching Timeline • Name your widget • Save
  • 9. 77 STEP 5 Analyze (continued) If you follow our example, you’ll see performance data for two types of content: “morning” and “afternoon”. Google Analytics, or any other analytics package you use, will have lots more options than the ones we used, so feel free to experiment! • Are you totally lost, but want to get this great insight? • Do you get the gist, but need help with the implementation? • Would you like to explore ways to do a deeper integration between your analytics and Bitly Enterprise? If the answer to any of these questions is “yes”, contact one of our experts for a free consultation. Request a free consultation Get social. Like us on Facebook Follow us on Twitter Join us on LinkedIn