If you click “My Container” in the top left, you’ll be able to see the ID for your account and your container: 2. Once you accept all terms and conditions, you’ll end up in the Experiments view with a default container (“My Container”):
I recommend it as well the more info you can gather about it and how best to use it, the better. Creating an account and containerĪs you move through the onboarding sequence, Google recommends opting into improving Google products, benchmarking, and in-depth analysis. Now, you’re ready to create your account and container. Now, to get started, head to the Google Optimize site and click one of the “Start for free” buttons: Limited concurrent testing (5 tests at a time).Only pre-configured experiment objectives (Google Optimize 360 allows you to go back and change objectives to see how it would’ve impacted other Google Analytics goals).Limited multivariate testing (16 variations).No Google Analytics audience targeting.
#Ga pixel tester free#
So, to summarize, the limitations of the free version are: Here’s the official breakdown of differences between the two versions: If you’re a big enterprise or have a very sophisticated testing program, you’ll probably need the paid version. If you’re a small- to medium-sized business or just getting started with a testing program, the free version will work for you. I know I just said it’s free, but, of course, there’s a paid version: Google Optimize 360.
It’s free, so what have you got to lose?. Your Google Optimize data will be available in Google Analytics, and your Google Analytics data will be available in Google Optimize, allowing for more advanced targeting, more advanced reporting, more advanced conversion tracking, etc. If you’re reading this, you’re probably already using a testing tool like Optimizely or VWO. Once you’ve identified these key audiences, create a unique offer for each target group, and then use Optimize to target that offer to your intended audience. Geo-location: Special offer for San Antonio residents. Status groups: Premium frequent fliers, Economy standard fliers. Loyal customers: Been to your site X times and purchased Y instances/value. You can use your Google Analytics data to identify key segments of users to target users as audiences shared Optimize. One of the things that makes Optimize so powerful is it’s deep integration with Google Analytics. It’s easy to see how having Google Optimize data in Google Analytics and Google Analytics data in Google Optimize is a big competitive advantage. McQuaide believes the deep integration allows for: The true progress here is how Google Optimize pairs with Google Analytics, and how easily we can tie our experiments to KPIs in Google Analytics. Obviously, A/B testing is nothing new, neither is serving personalized content based on customer behavior. It’s a central heart instead of multiple arms.Īs Sean McQuaide of Bounteous explains, Google Optimize’s native integration with Google Analytics is what sets it apart:Įnter Google Optimize, an A/B testing and personalization tool that uses Google Analytics data to power your CRO efforts. It addresses all channels, all conversions. Google Analytics has been trying to diminish tool overload and bring marketers out from their silos for years. You have a tool for keyword rankings, a tool for broken links, a tool for social media mention monitoring, a tool for social media analytics, a tool for…you get the idea. What results from this romance is tool overload. Marketers love tools, and tools love marketers. But what can you expect? How do you configure it properly? How do you run your first experiment? First, why Google Optimize over other testing tools? Since it left beta in March 2017, anyone can give it a try without the wait. It launched in beta in 2016 and left optimizers around the world waiting in line to try it out. It’s Google’s solution for A/B testing and personalization. Chances are, you’ve heard of Google Optimize by now.
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