Google Content Experiments (discontinued) vs. Google Optimize

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google Content Experiments (discontinued)
Score 7.3 out of 10
N/A
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
N/A
Google offers the Optimize A/B testing tool for testing website content and versions.N/A
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
NoNo
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
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 testing9.00 Ratings4.00 Ratings
Split URL testing10.00 Ratings2.00 Ratings
Multivariate testing10.00 Ratings4.00 Ratings
Multi-page/funnel testing9.00 Ratings1.00 Ratings
Cross-browser testing8.00 Ratings6.40 Ratings
Mobile app testing8.00 Ratings2.70 Ratings
Test significance9.00 Ratings1.00 Ratings
Visual / WYSIWYG editor10.00 Ratings3.00 Ratings
Advanced code editor9.00 Ratings2.00 Ratings
Page surveys8.00 Ratings5.00 Ratings
Visitor recordings8.00 Ratings10.00 Ratings
Preview mode8.00 Ratings3.00 Ratings
Test duration calculator10.00 Ratings9.00 Ratings
Experiment scheduler10.00 Ratings7.00 Ratings
Experiment workflow and approval8.00 Ratings8.90 Ratings
Dynamic experiment activation10.00 Ratings6.90 Ratings
Client-side tests10.00 Ratings7.00 Ratings
Server-side tests10.00 Ratings2.60 Ratings
Mutually exclusive tests10.00 Ratings8.00 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 segmentation10.00 Ratings6.00 Ratings
Behavioral visitor segmentation10.00 Ratings7.00 Ratings
Traffic allocation control10.00 Ratings8.00 Ratings
Website personalization10.00 Ratings7.00 Ratings
Results and Analysis
Comparison of Results and Analysis features of Product A and Product B
Google Content Experiments (discontinued)
9.9
Ratings
16% above category average
Google Optimize
8.2
Ratings
2% below category average
Click analytics10.00 Ratings9.00 Ratings
Form fill analysis10.00 Ratings8.00 Ratings
Conversion tracking10.00 Ratings9.00 Ratings
Goal tracking10.00 Ratings8.00 Ratings
Test reporting9.00 Ratings7.00 Ratings
Results segmentation10.00 Ratings10.00 Ratings
CSV export10.00 Ratings9.90 Ratings
Experiments results dashboard10.00 Ratings9.90 Ratings
Heatmap tool00 Ratings2.00 Ratings
Scroll maps00 Ratings9.00 Ratings
Best Alternatives
Google Content Experiments (discontinued)Google Optimize
Small Businesses
Convert Experiences
Convert Experiences
Score 9.9 out of 10
Convert Experiences
Convert Experiences
Score 9.9 out of 10
Medium-sized Companies
Dynamic Yield
Dynamic Yield
Score 8.3 out of 10
Dynamic Yield
Dynamic Yield
Score 8.3 out of 10
Enterprises
Dynamic Yield
Dynamic Yield
Score 8.3 out of 10
Dynamic Yield
Dynamic Yield
Score 8.3 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Google Content Experiments (discontinued)Google Optimize
Likelihood to Recommend
9.0
(0 ratings)
5.0
(0 ratings)
Likelihood to Renew
7.5
(0 ratings)
-
(0 ratings)
Usability
-
(0 ratings)
10.0
(0 ratings)
Support Rating
8.0
(0 ratings)
8.7
(0 ratings)
User Testimonials
Google Content Experiments (discontinued)Google Optimize
Likelihood to Recommend
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.
Read full review
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
Read full review
Pros
  • 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.
Read full review
  • Easy test implementation. You're up and running once you've pinned down your hypothesis.
  • Goals and conversion points can be easily mapped to any test.
  • Customization of goals in case you don't have one setup.
  • Integrated with Google Analytics so you can correlate with other metrics under behavior and e-commerce data.
Read full review
Cons
  • You can only optimise for one goal, so if you have several conversions, like phone call and email you need to do it manually.
  • It seems not to work that well for pages with lower amounts of traffic - not great for new or niche sites.
Read full review
  • Track site performance with each test version; see if the resource timing of each test has anything to do with conversion rates.
Read full review
Likelihood to Renew
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.
Read full review
No answers on this topic
Usability
No answers on this topic
Google has always been known to make easy-to-use products. The Google Optimize interface is intuitive and easy to follow for anyone.
Read full review
Support Rating
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.
Read full review
Google has well-documented resources and unlimited use cases that can be found online. Plus, their support is always helpful and available.
Read full review
Alternatives Considered
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.
Read full review
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.
Read full review
Return on Investment
  • 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.
Read full review
  • 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.
Read full review
ScreenShots