10 Vital Customizations to Make in Google Analytics
Google Analytics can do just about whatever you want it to. It has a ton of depth.
It can also feel a bit overwhelming once you get into it.
After consulting on Google Analytics for years, both independently and as the head of marketing at an analytics startup, I have 10 customizations I consider vital for every site I run.
Once they’re in place, you’ll have:
Let’s dive in.
Connect Google Analytics to Google Search Console
Way back, Google Analytics used to have keyword data in all its standard reports. You were able to see which keywords sent traffic to which pages. And if you had ecommerce tracking or goals set up, you could see how much revenue each keyword produced for you.
It was amazing.
Then Google decided to remove the keyword data from Google Analytics.
So, instead of amazing keyword data, everything got lumped into the dreaded “not provided” group.
Google killed the keyword data in Google Analytics.
I thought the keyword data was done forever — I never expected to see it again. I resigned my fate to needing tools like SEMrush or Ahrefs for keywords.
Then a funny thing happened.
Google started investing a lot of time into improving Google Search Console. In the last few years, it’s gotten incredibly good. The data is a goldmine. Google also improved the integration between Google Search Console and Google Analytics so it’s now possible to get a lot of that missing keyword data back.
That’s right, keywords are back in Google Analytics. All you have to do is sign up for a free Google Search Console account and connect it to your Google Analytics account.
It’s pretty easy. There are only two steps:
Here’s where to find the settings in Google Analytics to turn on Google Search Console:
After the accounts are connected, all the reports under Acquisition – Search Console will start populating. Keep in mind that they have a 48 hour delay so give it a few extra days before checking for data.
Create Multiple Views
I consider this a mandatory customization for Google Analytics.
Once data makes it into your Google Analytics reports, it’s permanent. Nothing can change it. Google has an entire processing pipeline for all the data it collects. Once data has been processed, there’s no going back.
So what happens if you use one of these Google Analytics customizations and accidentally nuke your whole account?
That data is permanently gone. When you fix the setting in your account, you won’t get any of your old data back. Only data from that moment onward will be clean.
Even if you just make your reports a bit messier with the wrong setting, there’s no going back.
In other words, the stakes are high.
We all make mistakes. And it’s a good idea to create two extra views for your Google Analytics profile as a backup.
On every one of my Google Analytics properties, I create three views:
Your Google Analytics views should look like this:
Set Up Events
Google Analytics tracks a ton of stuff without any customization which is why it’s so popular. There’s a ton of value right out of the box.
Sometimes, there are other actions that are also worth tracking beyond the standard sessions, pageviews, bounce rates, and time on site. You might want to track:
Anything that’s important to your site can be turned into a Google Analytics event so you can track how often it’s happening.
To trigger events, you will have to add some code to your site that sends the event data whenever the action occurs. Most likely, you’ll need a developer to help you set this up. All the event documentation is here.
In my experience, folks go overboard with goals. Hitting 10 pageviews per visit is a goal, signups are goals, PDF downloads get goals, random events are goals, goals goals goals everywhere.
Usually when I start working on a new site, I end up having to delete a bunch of goals that don’t matter.
My rule: only 1 or 2 goals per site. And they should be goals that closely track to revenue. So if the goal goes up, I expect revenue to also go up. If the correlation to revenue is weak, use an event instead of a goal.
Some examples of good goals:
Any event that leads to a sales funnel is a good candidate for a goal. There are really two ways to set up goals like these.
If your site is set up in a way that users always hit the same URL after completing one of these key actions, you can tell Google Analytics to trigger a goal every time someone lands on that URL. This works great for “thank you” pages.
No code is needed for these, you can set it up right away.
It’s also possible to have Google Analytics trigger a goal any time an event fires. This gives you the flexibility to trigger a goal whenever you like since it’s possible to trigger events whenever you like.
You most likely need a developer to help you set these up. Ask them to create a Google Analytics event for you. Once you see the event tracking correctly in the Google Analytics event reports, then go set up a Goal using the values of your event.
Why go through the trouble of turning an event into a goal? Why not just look at the event reports? It makes getting conversions data in your reports a lot easier. Many of the reports are pre-configured to show conversions based on goals. It’s trickier to get the same reports based on just events.
Implement Ecommerce Tracking
If you have an ecommerce store, Google Analytics ecommerce tracking gets all your revenue data into your reports. It’s amazing.
You’ll be able to see:
Google Analytics doesn’t track any of your ecommerce purchases out of the box. You will need to set up some extra stuff.
There are only two ways to get this set up:
First, go check your ecommerce tool and see if it has a built-in integration. Shopify has one. And if you’re not on Shopify, consider migrating. It’s worth the switch.
If you need to set up ecommerce tracking by hand, all the developer documentation is here.
One last thing, remember to turn on ecommerce tracking in your Google Analytics settings:
You need to flip the switch before data will start showing up.
Out of everything on the list, Content Groups are the most situational customization. Most sites don’t need to set these up — they’ll amount to nothing more than busy work that’s quickly forgotten about.
But for editorial and ecommerce sites, they make an enormous difference.
Google Analytics considers all your URLs to be equal. It doesn’t lump them into subgroups at all.
If you have a large site and manage the site by sections, this becomes a real problem. You might have Money, Heath and Fitness, and Political news sections that are all managed by different teams. Or, maybe you have different merchandize groups for your ecommerce store. How do you track the performance of those different sections of your site?
You can’t do it with an internal spreadsheet; new posts and products go up too fast to keep one accurate. Even if you can make it work, it’s a real pain to keep updated.
Setting up unique Google Analytics views is one option but only really works if every category has a clean subfolder in your URL. Plus, creating unique Google Analytics properties for each section creates all sorts of extra problems with referrals and tracking everything in aggregate.
The solution? Google Analytics Content Groups.
Once you’ve set up Content Groups, you can take any report in Google Analytics and organize all the data by any content group you’ve set up. For major editorial and ecommerce sites, it saves countless reporting hours.
Clean Up Parameters
It’s pretty common to run into pages like this in your Google Analytics reports:
Anything after a “?” in a URL is a parameter. It’s common for tools to add URL parameters to a URL. These parameters don’t change the destination of the URL, they add extra data that various tools can then use.
The problem is that Google Analytics treats parameters as unique URLs. In other words, traffic to the same page will show up in Google Analytics as visiting different URLs simply because the parameters for each user were different.
This splits our pageviews across a bunch of different URLs instead of giving us the real total for a single page on our site. That’s exactly what’s happening in the Quick Sprout example above. Instead of having 7 pageviews for our homepage, we have 7 pageviews split across unique pages because of a unique fbclid parameter that was added.
There’s a bigger problem too.
A lot of marketing automation and email tools will add ID parameters to the end of every URL in their emails. That allows them to track what email subscribers are doing. Even worse, it can populate reports with personal information like email addresses and names. It’s against the Google Analytics terms of service to have personal info in any report so you definitely don’t want this data to end up in your reports.
Here’s how parameters work:
To clean up your reports and scrub personal data clean, go to the All Pages report. Then sort by least pageviews. This will give you a list of URLs that only had a single pageview. Scroll through about 100 pages and look for any parameters that don’t signify a real URL.
Once you have a list of parameters that are junking up your reports, go to your View settings and add all the parameters that you want excluded here:
Be careful though. Some sites use parameters for different pages. I personally think it’s a terrible way to structure a site but it does happen. If your site does this, don’t include the parameter for those real pages. Otherwise Google Analytics will stop tracking the pages entirely.
Also don’t include any of the standard UTM parameters that are used to track marketing campaigns. Google Analytics already handles that data correctly.
Install Google Analytics via Google Tag Manager
In our post on setting up Google Analytics, I advocated for skipping Google Tag Manager when setting up Google Analytics for the first time. I still stand by that, especially for folks creating their site for the first time. When you skip Google Tag Manager as a new site owner, you skip a lot of emplexity without giving up much.
If you’re at a stage with your site where you’re looking at deeper customizations for Google Analytics, it’s worth taking the time to get Google Tag Manager set up.
Again, if you’re running your site by yourself and hate the thought of learning one more tool, feel free to skip this.
For everyone else, it’s time to remove your Google Analytics Global Site Tag from your site, install Google Tag Manager, and then add Google Analytics to your tag manager.
Your tag will look like this when you’re done:
To make sure that Google Analytics is working through Google Tag Manager, check your real-time reports in Google Analytics to see if it’s successfully recording data.
Create Custom Alerts
Sooner or later, you site will get hit. Here are a few scenarios that I’ve personally been through:
Most of these examples are pretty embarrassing.
Sooner or later, they happen on every site. I find that I run into 1–2 per year.
To help catch major problems like these, Google Analytics has Custom Alerts. You define a set of criteria and whenever that event happens, Google Analytics will send you an email. Even if your team isn’t checking Google Analytics daily, you’ll still catch major problems within 24 hours.
Here’s the alert I like to set up:
This alert sends me an email whenever sessions decrease by 30% or more compared to the same day the previous week. A few tricks that I’ve learned about custom alerts over the years:
Add an Office IP Filter
In Google Analytics, filters give you complete and total power. You can remove and transform your data permanently.
And when I say permanently, I do mean permanently. Be careful with these things. Once a filter is live, it’ll change all the data that’s collected. There’s no way to undo it. If a bad filter is applied, the only fix is to remove it and clean up data that’s collected after. There’s nothing that can be done to fix the old corrupted data.
So proceed with caution on these things.
There’s one filter that many websites should apply: a filter to remove internal traffic.
If you’re running your own business out of your house or from a coffee shop, don’t worry about this at all. The data impact from a single person is so limited that it’s not worth the hassle of adding a filter and maintaining one more setting in Google Analytics. Whenever I start to see the impact of my own browsing habits on one of my websites, my first thought is: “I need to spend my time getting more traffic.” At that stage, I prefer to worry about big things like getting enough traffic and customers.
However, there is a situation where an office IP filter becomes a requirement. When you’re working on a larger website with an entire team of people employed, skewing your traffic data becomes a real possibility. If a couple hundred people all work on the same website, Google Analytics data will become biased.
If your company works out of an office (or several offices), it’s worth the effort to figure out the IP address of your office and apply a Google Analytics filter that excludes all data from that IP. That keeps your employees from skewing your Google Analytics reports during their day-to-day work.
Here’s what your Office IP filter will look like:
This filter tells Google Analytics to take all data from an IP address and completely ignore it.
Remember to use the new views that you set up earlier. First apply the filter to your Test view, give it a few days to make sure it’s working properly, then apply the filter to your Master view. Filters are so powerful that you always want to test them first. All it takes is accidentally selecting “Include” when you meant “Exclude” to permanently nuke your entire Google Analytics account until your discover the mistake.
via Quick Sprout https://ift.tt/UU7LJr
February 28, 2019 at 11:58AM