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
(1-7 of 7)Companies can't remove reviews or game the system. Here's why
January 30, 2020
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 bounces, duration, click-throughs and session duration of users that enter our consumer websites. This tool allows us to test different marketing messages and designs to enhance the users experience, and helps us convert shoppers into buyers.
- Real time data
- Personalization
- Back end development needed for detailed tests.
- Some training required.
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.
October 30, 2015
Good tool for optimizing websites
We use Google Content Experiments to regularly test and improve website performance, primarily on our lead generation websites. Content Experiments has also been used to settle what design elements to move forward with and what ones to let go when planning new updates.
- Easy to use and implement.
- Easy to understand the reports.
- Seamless integration with Google Analytics.
- No support for multivariate testing, a feature that was pulled from the product when it was rebranded as Google Content Experiments from Google Website Optimizer.
Google Content Experiment is used to optimize our websites through A/B/n testing. It is utilized by a user in Marketing and IT. It allows our company to improve our visit to lead conversion rate, which translates to higher sales and ROI of all marketing campaigns.
- It's FREE
- It ties into Google Analytics
- Requires code setup for each experiment (less of an issue if also using Google Tag Manager)
- Does not allow for multivariate testing
- Does not allow for advancing testing and targeting
We are utilizing Google Content Experiments to simply and freely test content changes on a small scale before implementing them site-wide.
- Seamless integration with Google Analytics
- Absolutely free of charge
- Once Google's Universal Analytics supports Content Experiments and requires no additional javascript to implement, it will be a truly seamless experience.
Score 4 out of 10
Vetted Review
Verified User
We use Google Content experiments to run in house A/B testing as part of our Google Analytics package. The tool enables us to test significant web page variation changes default vs. new test variant. This allows us to identify the performance changes of new pages if they increase/decrease conversion rate.
- Integrates well with Google Analytics to perform segmentation analysis
- Capability of using server redirects rather than java script redirects unlike most testing tools.
- Easy to set up
- It doesn't handle multivariate testing
- Basic test configuration compared to other testing tools in the market
- Still requires a developer to code new pages rather than CMS capabilities of some products
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.