Google Optimize vs. Optimizely Web Experimentation

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
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
Optimizely Web Experimentation
Score 8.7 out of 10
N/A
Whether launching a first test or scaling a sophisticated experimentation program, Optimizely Web Experimentation aims to deliver the insights needed to craft high-performing digital experiences that drive engagement, increase conversions, and accelerate growth.N/A
Pricing
Google OptimizeOptimizely Web Experimentation
Editions & Modules
Google Optimize
Free
No answers on this topic
Offerings
Pricing Offerings
Google OptimizeOptimizely Web Experimentation
Free Trial
NoYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
Community Pulse
Google OptimizeOptimizely Web Experimentation
Features
Google OptimizeOptimizely Web Experimentation
Testing and Experimentation
Comparison of Testing and Experimentation features of Product A and Product B
Google Optimize
4.9
Ratings
50% below category average
Optimizely Web Experimentation
8.0
Ratings
3% below category average
a/b experiment testing4.00 Ratings9.00 Ratings
Split URL testing2.00 Ratings8.50 Ratings
Multivariate testing4.00 Ratings8.40 Ratings
Multi-page/funnel testing1.00 Ratings7.90 Ratings
Cross-browser testing6.40 Ratings8.10 Ratings
Mobile app testing2.70 Ratings8.00 Ratings
Test significance1.00 Ratings8.40 Ratings
Visual / WYSIWYG editor3.00 Ratings8.10 Ratings
Advanced code editor2.00 Ratings8.00 Ratings
Page surveys5.00 Ratings6.20 Ratings
Visitor recordings10.00 Ratings8.40 Ratings
Preview mode3.00 Ratings7.60 Ratings
Test duration calculator9.00 Ratings7.90 Ratings
Experiment scheduler7.00 Ratings8.20 Ratings
Experiment workflow and approval8.90 Ratings7.80 Ratings
Dynamic experiment activation6.90 Ratings7.50 Ratings
Client-side tests7.00 Ratings7.80 Ratings
Server-side tests2.60 Ratings7.20 Ratings
Mutually exclusive tests8.00 Ratings8.10 Ratings
Audience Segmentation & Targeting
Comparison of Audience Segmentation & Targeting features of Product A and Product B
Google Optimize
7.0
Ratings
20% below category average
Optimizely Web Experimentation
8.2
Ratings
4% below category average
Standard visitor segmentation6.00 Ratings8.40 Ratings
Behavioral visitor segmentation7.00 Ratings7.70 Ratings
Traffic allocation control8.00 Ratings9.10 Ratings
Website personalization7.00 Ratings7.80 Ratings
Results and Analysis
Comparison of Results and Analysis features of Product A and Product B
Google Optimize
8.2
Ratings
2% below category average
Optimizely Web Experimentation
8.3
Ratings
1% below category average
Heatmap tool2.00 Ratings9.30 Ratings
Click analytics9.00 Ratings8.80 Ratings
Scroll maps9.00 Ratings8.50 Ratings
Form fill analysis8.00 Ratings8.00 Ratings
Conversion tracking9.00 Ratings8.70 Ratings
Goal tracking8.00 Ratings8.20 Ratings
Test reporting7.00 Ratings7.90 Ratings
Results segmentation10.00 Ratings7.70 Ratings
CSV export9.90 Ratings7.90 Ratings
Experiments results dashboard9.90 Ratings8.00 Ratings
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Score 9.9 out of 10
Medium-sized Companies
Dynamic Yield
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Score 8.3 out of 10
Dynamic Yield
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Score 8.3 out of 10
Enterprises
Dynamic Yield
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Score 8.3 out of 10
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Score 8.3 out of 10
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User Ratings
Google OptimizeOptimizely Web Experimentation
Likelihood to Recommend
5.0
(0 ratings)
8.7
(0 ratings)
Likelihood to Renew
-
(0 ratings)
9.5
(0 ratings)
Usability
10.0
(0 ratings)
10.0
(0 ratings)
Availability
-
(0 ratings)
10.0
(0 ratings)
Performance
-
(0 ratings)
7.3
(0 ratings)
Support Rating
8.7
(0 ratings)
10.0
(0 ratings)
Online Training
-
(0 ratings)
3.0
(0 ratings)
Implementation Rating
-
(0 ratings)
8.0
(0 ratings)
Configurability
-
(0 ratings)
6.0
(0 ratings)
Product Scalability
-
(0 ratings)
8.0
(0 ratings)
User Testimonials
Google OptimizeOptimizely Web Experimentation
Likelihood to Recommend
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
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I think it can serve the whole spectrum of experiences from people who are just getting used to web experimentation. It's really easy to pick up and use. If you're more experienced then it works well because it just gets out of the way and lets you really focus on the experimentation side of things. So yeah, strongly recommend. I think it is well suited both to small businesses and large enterprises as well. I think it's got a really low barrier to entry. It's very easy to integrate on your website and get results quickly. Likewise, if you are a big business, it's incrementally adoptable, so you can start out with one component of optimizing and you can build there and start to build in things like data CMS to augment experimentation as well. So it's got a really strong a pathway to grow your MarTech platform if you're a small company or a big company.
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Pros
  • 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.
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  • The Platform contains drag-and-drop editor options for creating variations, which ease the A/B tests process, as it does not require any coding or development resources.
  • Establishing it is so simple that even a non-technical person can do it perfectly.
  • It provides real-time results and analytics with robust dashboard access through which you can quickly analyze how different variations perform. With this, your team can easily make data-driven decisions Fastly.
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Cons
  • Track site performance with each test version; see if the resource timing of each test has anything to do with conversion rates.
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  • The results view is dense and difficult to package easily for leadership, and when filtering by segment it's hard to read comparative outcomes without clearing or swapping filters
  • The organization of experiments and statuses is a cluttered list and the search is limited in use - would love to see that improve with time
  • There are so many other MarTech products out there, would love to see more dedicated integrations so we don't have to invest in something like Zapier or Tray to build hacky automations
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Likelihood to Renew
No answers on this topic
Because it's an incredible and essential tool for my line of work as a conversion optimization specialist. Really couldn't do my job nearly as effectively without it. It's paid for itself many times over and I feel like I'm only beginning to unlock the tools potential.
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Usability
Google has always been known to make easy-to-use products. The Google Optimize interface is intuitive and easy to follow for anyone.
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Optimizely Web Experimentation's visual editor is handy for non-technical or quick iterative testing. When it comes to content changes it's as easy as going into wordpress, clicking around, and then seeing your changes live--what you see is what you get. The preview and approval process for sharing built experiments is also handy for sharing experiments across teams for QA purposes or otherwise.
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Reliability and Availability
No answers on this topic
I would rate Optimizely Web Experimentation's availability as a 10 out of 10. The software is reliable and does not experience any application errors or unplanned outages. Additionally, the customer service and technical support teams are always available to help with any issues or questions.
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Performance
No answers on this topic
I would rate Optimizely Web Experimentation's performance as a 9 out of 10. Pages load quickly, reports are complete in a reasonable time frame, and the software does not slow down any other software or systems that it integrates with. Additionally, the customer service and technical support teams are always available to help with any issues or questions.
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Support Rating
Google has well-documented resources and unlimited use cases that can be found online. Plus, their support is always helpful and available.
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They always are quick to respond, and are so friendly and helpful. They always answer the phone right away. And [they are] always willing to not only help you with your problem, but if you need ideas they have suggestions as well.
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Online Training
No answers on this topic
The tool itself is not very difficult to use so training was not very useful in my opinion. It did not also account for success events more complex than a click (which my company being ecommerce is looking to examine more than a mere click).
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Implementation Rating
No answers on this topic
The implementation through the tag management system took a bit of trial and error at first, mostly due to the asynchronous nature of the TMS. We had to manipulate the implementation to assure that the Optimizely code was written to the page at the right time to allow the experiment content load in the browser without showing any of the original content first. We also needed to make some adjustments to the TMS code to get the integration with Site Catalyst timed appropriately.
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Alternatives Considered
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.
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The ability to do A/B testing in Optimizely along with the associated statistical modelling and audience segmentation means it is a much better solution than using something like Google Analytics were a lot more effort is required to identify and isolate the specific data you need to confidently make changes
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Scalability
No answers on this topic
It's incredibly flexible and adapts well to organizations of all sizes, whether you’re running a single site or managing multiple departments and platforms. The ability to deploy experiments seamlessly across different environments is a huge plus, especially for growing businesses. While it’s highly scalable, the last point would depend on the right team leveraging its full potential.
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Return on Investment
  • 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.
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  • we saved money by not implementing certain copy/design
  • we learned that customers from different states react different to a variation
  • we are slowly learning where conversion happens and where to fix the frictions
  • Testing shorter vs longer journeys increased funnel conversion in some states - we avoided implementing this nationwide
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ScreenShots

Optimizely Web Experimentation Screenshots

Screenshot of AI-Powered Experimentation with Opal:

- Instant Test Ideas: Generates high-quality A/B test ideas based on any goals and audience insights.
- Smarter Experimentation: The AI can suggest impactful variations, reducing guesswork and increasing test velocity.
- More Than Just Ideas: From hypothesis generation to analyzing results, Opal helps optimize every stage of the experimentation process.Screenshot of the Web Experimentation Visual Editor :

- Tweak experiments using the visual editor or dive into custom code when needed.
- Modify elements, update styling, or add dynamic behaviors.
- Ensure perfect variations while keeping control over every detail of the experiment.Screenshot of AI Content Suggestions:

- Generates copy variations to supercharge experiments.
- The AI suggests high-impact messaging for tests when hovering over a field.
- AI-powered content suggestions help skip the brainstorming process.Screenshot of Advanced Audience Targeting:

- Delivers personalized experiences by targeting users based on behaviors, attributes, and real-time conditions.
- Defines precise audience segments using first-party data, geolocation, and device type.
- Can test and optimize for different audience groups to maximize impact and engagement.Screenshot of Custom Templates in the Visual Editor:

- Offers pre-built templates for common test setups.
- Standardized variations and maintains brand integrity with reusable templates.
- Templates can be customized visually or tweak them with code for full flexibility.Screenshot of the Web Experimentation Results Page:

- Data visualizations help interpret experiment performance.
- Displays which variations are winning with built-in statistical significance calculations.
- Results can be filtered by audience segments, events, and conversions to uncover key trends.