The main difference with Universal Analytics is that it tracks much, much more than just visits to a website. The Google Analytics that we all know and love is based on an older analytics product called Urchin, which Google bought in 2005 and was initially created in 1998. It’s come a long way since then, and we’ve been able to do some sophisticated stuff with it, but it’s only designed to track visits to a website.
Universal Analytics moves away from tracking the anatomy of a visit, and tracks the behaviour of visitors. It stitches user data together across platforms and devices, and can track activity on any web-enabled device. That includes websites, mobile apps and point-of-sale systems, which means that Universal Analytics can track offline conversions too.
Essentially, the change to Universal Analytics is about acknowledging that as the web has become more complex and users have become more sophisticated, a visit-based analytics tool isn’t going to cut it. The old method no longer fits the new model, so the method has to change.
With the new method comes a whole heap of new features, a lot of which are still in a fairly abstract and theoretical state. Here’s a summary of some of the main ones, and how they can be useful in a practical sense:
This is going to be a major factor in driving organisations to migrate to Universal Analytics, and a major benefit they’ll see as a result of doing so. It’s all thanks to the Measurement Protocol which is one of the core components of Universal Analytics.
It allows us to send data from pretty much any device, and collect it in Universal Analytics. This means we can finally link in-store transactions with campaigns and, via a loyalty card tagged to a User ID, with an entire history of user interactions with our brand.
It’s the offline aspect of Universal Analytics that will cause the biggest change to what we do, and the open structure of the Measurement Protocol means there will be a plethora of ways to manage the collection of offline conversion data. For a great example, check out Julien Coquet and his method of tracking in-store footfall and cash register transactions.
Custom dimensions to create the reports you want
Another huge change is the ability to set multiple custom dimensions in reports. Think of a dimension as anything to which we assign a number, we can use certain behaviours to trigger dimensions around which we can structure reports.
For example, on the Econsultancy site we might want to see how the behaviour users that are logged-in differs from the behaviour of users that aren’t. By sending this as a custom dimension to Universal Analytics, we can pull down custom reports to compare the different activity between the sets of users.
Likewise, we might want to see which Econsultancy blog authors have the best engagement. Google Analytics won’t normally let you view reports on posts by author, but a custom dimension will let you see exactly how different authors foster different levels of engagement.
Link your CRM data to logged-in users
Universal Analytics can be fed information from your backend customer tracking database to give additional context to your reports.
For example, by tying age demographics to user IDs, you can see how different age groups access different types of content, and which campaign sources are best at engaging with different groups of users.
Advanced segments can be created across sessions
Part and parcel of a move away from visit-based analytics is the ability to segment based on multiple visits.
So, if you want to create an advanced segment around people based in Sydney, that first arrived on your site on a Saturday between 2am and 4am, then returned via a remarketing campaign and spent $100 online, nothing’s going to stop you now!
Configure session timeouts, with a maximum of four hours
The previous limit was a non-customisable 30 minutes.
This is useful for sites like office supply stores where users might keep the website open for long stretches of the day while they coordinate a company-side purchase, and few 30-minute visits were showing up with conversions.
Add custom search engines and have visitors show up as organic search
You might decide that YellowPages is more like a search engine than a referring site. Now you can bucket these visitors in your organic search segment.
Exclude certain organic search terms from your reports
You might want to take your brand or domain name and remove those from your organic search reports, since their use implies that users already know who you are.
Anyone searching on an excluded search term will show up as Direct Traffic, enabling you to drill deeper into customers that don’t already know your brand.
User timings become more specific
User Timings can be set so we don’t just get a basic figure on how long a page took to load, but how long certain elements of pages take to load.
This customisation means that complex websites and web apps can be tracked from a performance perspective, which will be particularly useful for optimising mobile web user experience.
Did somebody say “Data-Driven?”
Overall, we’re looking at a lot of changes all introduced at one time; and right now, the digital analytics industry is still getting to grips with how to best work with the new features.
It’s certainly the most significant change the digital analytics industry has seen, and it’s going to widen the reach of analytics to more touchpoints across an organisation. “Data-driven” might have lost its meaning from over-use, but it’s about to have a whole new meaning applied to it.
Universal Analytics is available now, free, for all current users of Google Analytics. You can’t upgrade directly at this time, but the official advice from Google is to create a new Web Property for Universal Analytics in your Google Analytics account, and run it alongside the current tracking code.
Over to you
Have you made the transition to Universal Analytics yet, or is it on your to-do list?
We’d love to hear about your experiences and where you’re finding the biggest benefits (or challenges). Let us know in the comments…