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
Google Optimize
Score 6.7 out of 10
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Google offers the Optimize A/B testing tool for testing website content and versions.
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Pricing
Google Content Experiments (discontinued)
Google Optimize
Editions & Modules
No answers on this topic
Google Optimize
Free
Offerings
Pricing Offerings
Google Content Experiments (discontinued)
Google Optimize
Free Trial
No
No
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Google Content Experiments (discontinued)
Google Optimize
Features
Google Content Experiments (discontinued)
Google Optimize
Testing and Experimentation
Comparison of Testing and Experimentation features of Product A and Product B
Google Content Experiments (discontinued)
9.2
Ratings
11% above category average
Google Optimize
4.9
Ratings
50% below category average
a/b experiment testing
9.00 Ratings
4.00 Ratings
Split URL testing
10.00 Ratings
2.00 Ratings
Multivariate testing
10.00 Ratings
4.00 Ratings
Multi-page/funnel testing
9.00 Ratings
1.00 Ratings
Cross-browser testing
8.00 Ratings
6.40 Ratings
Mobile app testing
8.00 Ratings
2.70 Ratings
Test significance
9.00 Ratings
1.00 Ratings
Visual / WYSIWYG editor
10.00 Ratings
3.00 Ratings
Advanced code editor
9.00 Ratings
2.00 Ratings
Page surveys
8.00 Ratings
5.00 Ratings
Visitor recordings
8.00 Ratings
10.00 Ratings
Preview mode
8.00 Ratings
3.00 Ratings
Test duration calculator
10.00 Ratings
9.00 Ratings
Experiment scheduler
10.00 Ratings
7.00 Ratings
Experiment workflow and approval
8.00 Ratings
8.90 Ratings
Dynamic experiment activation
10.00 Ratings
6.90 Ratings
Client-side tests
10.00 Ratings
7.00 Ratings
Server-side tests
10.00 Ratings
2.60 Ratings
Mutually exclusive tests
10.00 Ratings
8.00 Ratings
Audience Segmentation & Targeting
Comparison of Audience Segmentation & Targeting features of Product A and Product B
Google Content Experiments (discontinued)
10.0
Ratings
16% above category average
Google Optimize
7.0
Ratings
20% below category average
Standard visitor segmentation
10.00 Ratings
6.00 Ratings
Behavioral visitor segmentation
10.00 Ratings
7.00 Ratings
Traffic allocation control
10.00 Ratings
8.00 Ratings
Website personalization
10.00 Ratings
7.00 Ratings
Results and Analysis
Comparison of Results and Analysis features of Product A and Product B
Google Content Experiments is suited for large and small organizations, no matter your organizational goals. It is not recommended for organizations that are only interested in qualitative data, as there are other tools for receiving specific user experience feedback. It is also not recommended that you implement tests without some sort of goal in mind.
Google Optimize is well suited for testing small changes on the browser pages. You have the option of changing designs, texts, and some small features on the page. The audience can be divided using a long list of factors, so it makes it quite easy to set up the test. It is not well suited for complicated feature tests where you need to monitor the user over a long period or where the user is likely to use multiple sessions across multiple devices or browsers
When you need to measure against event-based goals
If you need to see how the test variations performed against secondary goals
Given that the the platform requires you actually code a new page with a unique URL, this tool can be good for radical redesigns.
Great insights into other information about your testing groups, like whether or not they're mobile, screen size, browser, or really any dimension available in GA.
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.
We switched from Google Optimize to AB Tasty which is a paid platform. AB Tasty provides much better capabilities and support, although this is with a cost implication which Google Optimize didn’t have. Google Optimize was useful as an introductory platform prior to getting a full programme running but this has now sunset so is no longer available.
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.
Useful with clients on a budget who need to see ROI without another paid platform to install.
Setting up Google Optimize helps as an additional value add when bidding on projects.
Nothing negative unless a larger client needs a more robust package; then, there is always Google Optimize 360 as well as platforms from other vendors.