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.
N/A
Pricing
Google Content Experiments (discontinued)
Editions & Modules
No answers on this topic
Offerings
Pricing Offerings
Google Content Experiments (discontinued)
Free Trial
No
Free/Freemium Version
No
Premium Consulting/Integration Services
No
Entry-level Setup Fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Google Content Experiments (discontinued)
Considered Both Products
Google Content Experiments (discontinued)
Verified User
Manager
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 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 …
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.
Verified User
Analyst
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 …
Features
Google Content Experiments (discontinued)
Testing and Experimentation
Comparison of Testing and Experimentation features of Product A and Product B
Google Content Experiments (discontinued)
9.2
1 Ratings
10% above category average
a/b experiment testing
9.01 Ratings
Split URL testing
10.01 Ratings
Multivariate testing
10.01 Ratings
Multi-page/funnel testing
9.01 Ratings
Cross-browser testing
8.01 Ratings
Mobile app testing
8.01 Ratings
Test significance
9.01 Ratings
Visual / WYSIWYG editor
10.01 Ratings
Advanced code editor
9.01 Ratings
Page surveys
8.01 Ratings
Visitor recordings
8.01 Ratings
Preview mode
8.01 Ratings
Test duration calculator
10.01 Ratings
Experiment scheduler
10.01 Ratings
Experiment workflow and approval
8.01 Ratings
Dynamic experiment activation
10.01 Ratings
Client-side tests
10.01 Ratings
Server-side tests
10.01 Ratings
Mutually exclusive tests
10.01 Ratings
Audience Segmentation & Targeting
Comparison of Audience Segmentation & Targeting features of Product A and Product B
Google Content Experiments (discontinued)
10.0
1 Ratings
13% above category average
Standard visitor segmentation
10.01 Ratings
Behavioral visitor segmentation
10.01 Ratings
Traffic allocation control
10.01 Ratings
Website personalization
10.01 Ratings
Results and Analysis
Comparison of Results and Analysis features of Product A and Product B
Do you already have Google Analytics? If so content experiments is a good, free, starting point to dip your toes in A/B testing. Do you need to run Multivariate experiments? If so, Google Content Experiments is not going to fit your needs.
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.