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?
Alternatives Pricing
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.
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…
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
(1-1 of 1)- Quick and easy to create and set up experiments
- Results are presented in a way that is familiar and easy for any Google Analytics user to understand. So is great for beginners to conversion testing
- Already integrated into Google Analytics and can measure results against your existing conversion goals
- Allows nine possible variants to be A/B tested
- Features more than one testing methodology, Bayesian (Multi-Armed Bandit,) and Full Factorial
- Allows the user to select one of three possible confidence thresholds to ensure that experiment results are robust
- Great value, it is free!
- Should include a multivariate testing (MVT) option. Whilst the ability to test nine possible variants using A/B/n testing is great for strong bold tests, the ability test multiple elements on the same page is essential for a successful testing program
- Reliance on your IT department to code the variants you wish to test and also to insert the experiment code on the test page can be an issue which may slow the testing process for some businesses
- It is very easy to make the wrong decisions and find a false winner. A high level of conversion rate optimisation knowledge is needed to ensure that the results from the experiment are valid and of statistical significance
- Should not default to Bayesian (multi armed bandit,) methodology and a 95 percent confidence threshold as a those new to testing may not fully understand the impact of these setting and whilst these options can be changed in “Advanced Options” the combination of these two factors could easily find an incorrect winner
- Google Experiments should not declare the winning variant as it does not understand your business or business cycles, so can easily find a false winner. Although the option to set a minimum time for the experiment to run before declaring a winner goes some way towards mitigating this issue it is limited to a maximum of two weeks which may not be long enough for some businesses
- Google Content Experiments has shown a great return on investment as it is a free tool that has been used to answer various business questions.
- I have Google Content Experiments to demonstrate various percentage uplifts to key metrics across the business
- Maxymiser,Visual Website Optimizer
- A strong understanding of conversion rate optimisation and testing methodologies
- Some coding knowledge to build the alternative test variants and deploy the test code to the test page
- Improving landing page conversion rates
- Developing a testing culture within the business
- An always on back up testing tool should it be needed
- Price
- Vendor Reputation
- Existing Relationship with the Vendor
- Analyst Reports