Google Content Experiments was a tool that can be used to create A/B test from within Google Analytics. It has been discontinued since 2019, and Google now recommends using its Google Optimize service for A/B testing.
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SiteTuners
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SiteTuners is a website optimization software focused on conversion rate optimization built to optimize landing pages.
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Pricing
Google Content Experiments (discontinued)
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Editions & Modules
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Offerings
Pricing Offerings
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Free Trial
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Free/Freemium Version
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Premium Consulting/Integration Services
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Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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Community Pulse
Google Content Experiments (discontinued)
SiteTuners
Considered Both Products
Google Content Experiments (discontinued)
Verified User
Anonymous
Chose Google Content Experiments (discontinued)
Google Content Experiments is a free tool and the leading tool in the industry. It's pretty simple to set up a test and use content experiments to monitor objectives once Google Analytics is installed. Less experienced team members can run tests with some training. There are …
It frankly was down to cost. Other platforms offer better targeting etc., however, we found that unless we could demonstrate early value - we didn't get budget sign off. Our teams aren't usually large enough to justify the cost and time to invest in a more complex platform - so …
Google Website Optimizer was a better product but has been discontinued. We have also used Test and Target , which has more features but we have been doing fine with Google Content Experiments. Most testing situations can be handled with Google Content Experiments.
Google Content Experiment cannot compete with Adobe Test and Target, Quadratics or even Optimizley. It is harder to use with no editing interface, so pages must be actually developed. It doesn't allow for any advanced segmenting or multivarient testing. But it is free, so …
Google CE is free, Optimizely isn't plus only until recently I found out that Optimizely can work with multiple goals, however, this was found by meeting their employees at a trade show and not via their website.
We'd use content experiments as a complimentary testing tool alongside more comprehensive testing packages out there. As a free testing tool it does the job for basic A/B testing.
If you are looking for a more advanced great value for money solution I would recommend investigating Visual Website Optimizer. For a more powerful enterprise level solution with the option to have a fully managed service I would recommend Maxymiser.
Google Content Experiments provides significantly more insight, historical data and analysis than Unbounce. However, if you do need a solution that offers a WYSIWYG editor, landing page hosting, and limited reporting and testing, Unbounce is a good all-in-one solution and that …
Verified User
Anonymous
Chose Google Content Experiments (discontinued)
GCE isn't better or worse than any of these, it's just different. When I have the time to build a new page, setup the testing scripts, and go - then I'll use GCE. If I'm doing multivariate I use VWO. If I'm testing a quick button or headline change, I use Optimizely or UnBounce.
Google CE does a great job streamlining tools and features. Optimizely does not offer nearly the same amount of tools or resources that G CE does. I would use CE in the future but stay away from Optimizely. Google also has a lot more resources for accruing knowledge on it …
SiteTuners
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Features
Google Content Experiments (discontinued)
SiteTuners
Testing and Experimentation
Comparison of Testing and Experimentation features of Product A and Product B
Google Content Experiments (discontinued)
9.2
Ratings
9% above category average
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a/b experiment testing
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Split URL testing
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Multivariate testing
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Multi-page/funnel testing
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Cross-browser testing
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Mobile app testing
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Test significance
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Visual / WYSIWYG editor
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Advanced code editor
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Page surveys
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Visitor recordings
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Preview mode
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Test duration calculator
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Experiment scheduler
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Experiment workflow and approval
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Dynamic experiment activation
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Client-side tests
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Server-side tests
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Mutually exclusive tests
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Audience Segmentation & Targeting
Comparison of Audience Segmentation & Targeting features of Product A and Product B
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10.0
Ratings
13% above category average
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Standard visitor segmentation
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Behavioral visitor segmentation
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Traffic allocation control
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Website personalization
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Results and Analysis
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Google Content Experiments is suited for large and small organizations, no matter your organizational goals. It is not recommended for organizations that are only interested in qualitative data, as there are other tools for receiving specific user experience feedback. It is also not recommended that you implement tests without some sort of goal in mind.
When you need to measure against event-based goals
If you need to see how the test variations performed against secondary goals
Given that the the platform requires you actually code a new page with a unique URL, this tool can be good for radical redesigns.
Great insights into other information about your testing groups, like whether or not they're mobile, screen size, browser, or really any dimension available in GA.
Content Experiments just makes it is simple and easy to implement A|B tests. We will be evaluating other tools in search of a more robust system for multivariate and cross-page testing, such as Optimizely or Visual Website Optimizer. However, for basic testing, you can't really beat it.
Using the free tool, overall "live support" is limited. However, there are plenty of online resources to get started. If you need handheld support, it is best to upgrade the service or hire a developer through one of Google's partner agencies. There could be more support for understanding what makes a test useful or not.
Google Website Optimizer was a better product but has been discontinued. We have also used Test and Target , which has more features but we have been doing fine with Google Content Experiments. Most testing situations can be handled with Google Content Experiments.
Doing good experiments/Optimize has helped to take out the guesswork of the things we want to implement.
We have done fairly complex changes such as changing navigation and managed to see improvements outcomes immediately before we have to request developer.
Our teams have become more data centric in how they approach changes.