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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Kameleoon
Score 7.7 out of 10
Enterprise companies (1,001+ employees)
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 solutions are designed to help marketers, product owners, and developers maximize customer engagement and conversion, across all channels.
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Pricing
Google Content Experiments (discontinued)
Kameleoon
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Google Content Experiments (discontinued)
Kameleoon
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
Consulting services are priced on demand.
More Pricing Information
Community Pulse
Google Content Experiments (discontinued)
Kameleoon
Features
Google Content Experiments (discontinued)
Kameleoon
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
Kameleoon
4.6
Ratings
56% below category average
a/b experiment testing
9.00 Ratings
7.60 Ratings
Split URL testing
10.00 Ratings
7.80 Ratings
Multivariate testing
10.00 Ratings
7.60 Ratings
Multi-page/funnel testing
9.00 Ratings
4.60 Ratings
Cross-browser testing
8.00 Ratings
1.20 Ratings
Mobile app testing
8.00 Ratings
9.00 Ratings
Test significance
9.00 Ratings
3.50 Ratings
Visual / WYSIWYG editor
10.00 Ratings
3.40 Ratings
Advanced code editor
9.00 Ratings
4.30 Ratings
Page surveys
8.00 Ratings
00 Ratings
Visitor recordings
8.00 Ratings
00 Ratings
Preview mode
8.00 Ratings
3.90 Ratings
Test duration calculator
10.00 Ratings
2.20 Ratings
Experiment scheduler
10.00 Ratings
5.40 Ratings
Experiment workflow and approval
8.00 Ratings
2.30 Ratings
Dynamic experiment activation
10.00 Ratings
4.60 Ratings
Client-side tests
10.00 Ratings
1.40 Ratings
Server-side tests
10.00 Ratings
8.90 Ratings
Mutually exclusive tests
10.00 Ratings
1.20 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
Kameleoon
5.5
Ratings
43% below category average
Standard visitor segmentation
10.00 Ratings
4.70 Ratings
Behavioral visitor segmentation
10.00 Ratings
3.50 Ratings
Traffic allocation control
10.00 Ratings
5.10 Ratings
Website personalization
10.00 Ratings
9.00 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.
We can easily create A/B tests and personalizations to target specific audiences and improve the customer journey
The widget editor is intuitive and very easy to use, a lot of features are available without any code
The result analysis dashboard is easy to read and understand : we have very detailed data to analyze the performance of our experiments, even on pages with low traffic thanks to the CUPED algorithm.
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.
The segment builder is incredibly intuitive and easy to use. Works wonderfully with Mixpanel. Our team managed to set up our segments and experiments within a couple of hours.
Great customer service and willingness to help with any of our questions.
Very secure testing environment for our A/B testing experiments. We had a staging environment easily set up for review and testing before live deployment. We needed a HIPAA compliant solution, and Kameleoon delivers.
Interface of the graphics editor is quite conceptual. It is fine after a few days but it takes a little while to recognize some icons.
Their online tutorial could also be easily improved.
If you want to do major graphical changes on your website, you will have to inject JS and CSS code which requires some technical background but I don’t know if that point can be improved.
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.
Kameleoon offers one of the best UI's I've seen when I've compared it to 4 of the other big competitors in the landscape. They have some improvement areas when it comes to the UX - Which is easily solvable if/when prioritized. There's a little to much "clicking" and "new tabs" in my opinion
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.
Our Kameleoon team is also very dedicated to us. We have weekly meetings to review our project roadmap and the results of our ongoing campaigns. Kameleoon’s team is very supportive and ambitious for every project. The responsiveness of the teams is also very helpful and reassuring when there are up and downs (as happens in every relationship).
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.
The agency that helped create our new Headless website recommended Kameleoon and Growth book on top of the stalwart Optimizely. Our final round of POC was between Optimizely and Kameleoon, and the thing that pushed Kameleoon ahead was the size of their snippet and how easy it was to set up the Segment integration out of the box to do what we needed it to do. Although Kameleoon is relatively "new" to the North American market, they have continued to perform above and beyond our expectations.
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.
The platform allows us to test and learn different functionalities.
We run multiple feature experiments at different levels of the customer journey (search, login, and checkout) to improve efficiency and our conversion rate.
We are also able to boost our fidelity program to the right audience thanks to AI.
And obviously, optimize the user experience continuously.