Integrates well with Google Analytics
We use Google Content Experiments for AB testing in our Digital Marketing Department. Google Content Experiments allows us to test …
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.
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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.
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What is Oracle Marketing?
Oracle CX Marketing (formerly Oracle Marketing Cloud) is a solution designed to enable marketers to plan and execute automated marketing campaigns via email, display search, video advertising, and mobile while delivering a personalized customer experience for their prospects.
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What is Kameleoon?
Kameleoon boasts users among 500 corporate and enterprise companies across North America, Europe, and Asia Pacific to help brands deliver digital experiences and products to their customers. GDPR, CPPA, and HIPPA compliant, Kameleoon’s A/B testing, full stack, and AI-powered personalization…
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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.
Google Content Experiments (discontinued) Competitors
Google Content Experiments (discontinued) Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
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Reviews and Ratings
(74)Attribute Ratings
Reviews
(1-3 of 3)Companies can't remove reviews or game the system. Here's why
January 22, 2018
A superb A/B Testing tool for smaller teams.
Google Content Experiments was one of the tools that we used when looking to do A/B testing within the organisation. Typically we would work with customers to determine what elements were important to their business and use this to come up with ways to validate the ideas or disprove them. Content Experiments was ideal as it was a free tool - that could be rolled up quite quickly and was free!
- 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.
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's tech fits the bill perfectly.
June 10, 2014
Google Content Experiments - Adequate and free
It is used to create A / B tests inside Google Analytics to test and optimise pages on websites, identify issues in flow on websitses and to find ways to rectify these issues.
- 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
I have not used any alternatives. I only use Content Experiments because it is in GA.
May 13, 2014
Google CE Impressed Me
Score 7 out of 10
Vetted Review
Verified User
My organization was interested in examining how we could redesign webpages to reduce bounce rate. We thought rewriting product descriptions was as far as we would need to go, however we learned differently. Google CE taught us that we needed to mix good design with good content and streamline product searching on our site.
- 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.
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 products.