Overview
What is Google Content Experiments (discontinued)?
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.
A superb A/B Testing tool for smaller teams.
Good tool for optimizing websites
Google Content Experiments: Quick and easy (and free) A/B/n testing you should already be using.
Pros:
* Easy to set up a test and use content …
Limited Testing Solution, but Not Without Value
FREE and integrated, but no advanced testing possibilities and harder setup
Google Content Experiments - Adequate and free
Google Content Experiments: Your Free Gateway to A/B Web Content Testing
Google Content Experiments Review #58,733 (probably)
Another Google Freebie, but could be improved for real testing strategies
A great place to start your conversion rate optimization adventure. However the limited features will have you searching for a more advanced tool within a few months.
Not a bad tool, but not for the code-shy
Google CE Impressed Me
Pricing
What is Google Content Experiments (discontinued)?
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.
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Would you like us to let the vendor know that you want pricing?
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Product Details
- About
- Competitors
- Tech Details
What is Google Content Experiments (discontinued)?
Google Content Experiments (discontinued) Competitors
Google Content Experiments (discontinued) Technical Details
Operating Systems | Unspecified |
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Mobile Application | No |
Comparisons
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Reviews and Ratings
(74)Attribute Ratings
Reviews
(1-3 of 3)A superb A/B Testing tool for smaller teams.
- Has a great analytics engine in its backend which uses multi-arm bandit methodology- and thus can perform multiple variations at once.
- Multi-arm bandit means that it's also really effective in finding the winning solution.
- It can be based on Analytics Goals via Optimize so you can drive things that are important to the business.
- Their documentation is not the best and it's quite a steep learning curve.
- They also don't tell you particularly well what sorts of things you should be testing.
- Compared to other suppliers of A/B testing tools- it needs a simpler interface. Optimize is starting to answer that - but is still quite Beta-like.
- 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.
Google Content Experiments - Adequate and free
- A / B testing: You define a control page (page A) and a variation (page B) of that original page to test against. The purpose of this test is to expose your audience to the different versions of a page to determine which version will result in more conversions for your site.
- Does not support multivariate testing
- No hard numbers but it has been useful in identifying which content scores better conversions and learning from this
Google CE Impressed Me
- Google CE really gives in-depth insight into why some pages perform better than others. You can see where the readers eyes travel most often.
- Talk about putting yourself in the audience's shoes! Thats exactly what A/B testing does
- There is also multivariate testing for advanced changes.
- There was a somewhat high learning curve which I would like to see flattened.
- Google needs a more robust help section integrated in CE to help users navigate better.
- There should be more mock testing windows during evaluation stages.
- CE has made efficient time use easy and fool-proof when it comes to learning the software
- Because it integrates with other Google programs there is a benefit to track with Google Analytics
- The learning curve can create initiate time investment that may go beyond what companies are willing to dedicate.