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
Compare with
Reviews and Ratings
(74)Attribute Ratings
Reviews
(1-2 of 2)Integrates well with Google Analytics
- Real time data
- Personalization
- Back end development needed for detailed tests.
- Some training required.
- a/b experiment testing
- 90%9.0
- Split URL testing
- 100%10.0
- Multivariate testing
- 100%10.0
- Multi-page/funnel testing
- 90%9.0
- Cross-browser testing
- 80%8.0
- Mobile app testing
- 80%8.0
- Test significance
- 90%9.0
- Visual / WYSIWYG editor
- 100%10.0
- Advanced code editor
- 90%9.0
- Page surveys
- 80%8.0
- Visitor recordings
- 80%8.0
- Preview mode
- 80%8.0
- Test duration calculator
- 100%10.0
- Experiment scheduler
- 100%10.0
- Experiment workflow and approval
- 80%8.0
- Dynamic experiment activation
- 100%10.0
- Client-side tests
- 100%10.0
- Server-side tests
- 100%10.0
- Mutually exclusive tests
- 100%10.0
- Standard visitor segmentation
- 100%10.0
- Behavioral visitor segmentation
- 100%10.0
- Traffic allocation control
- 100%10.0
- Website personalization
- 100%10.0
- Click analytics
- 100%10.0
- Form fill analysis
- 100%10.0
- Conversion tracking
- 100%10.0
- Goal tracking
- 100%10.0
- Test reporting
- 90%9.0
- Results segmentation
- 100%10.0
- CSV export
- 100%10.0
- Experiments results dashboard
- 100%10.0
- Increased ROI
- Faster decision making
A superb A/B Testing tool for smaller teams.
- 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.