GTmetrix vs. Optimizely Web Experimentation

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
GTmetrix
Score 9.9 out of 10
N/A
Gtmetrix is an analytics tool focused on determining website performance with features like page load speed details, video capture, and the ability to test from multiple regions around the world.
$10.67
per month
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
GTmetrixOptimizely Web Experimentation
Editions & Modules
Solo
$10.67
per month
Starter
$21.25
per month
Growth
$42.50
per month
Basic
Free
No answers on this topic
Offerings
Pricing Offerings
GTmetrixOptimizely 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
GTmetrixOptimizely Web Experimentation
Considered Both Products
GTmetrix
Chose GTmetrix
Given we are doing the work to improve in Google to a large degree - the Google product is essential. But GTMetrix may use their info as well as other independent stuff to be a little better. I appreciate the way GTMetrix provides the info - cleaner and clearer and thus quicker …
Chose GTmetrix
Compared to the products I have listed PageSpeed Insights is probably the closest to what GTMetrix does and many times those 2 tabs are open side by side. SEMrush is a full SEO platform and though it can do much of what GTmetrix does it is also quite expensive and does a lot …
Chose GTmetrix
The data visualization aspect of GTmetrix is better than the competition. It uses letters A, B, and C to help rate speed and performance. It shows the time, size of the page, and uses colors as well. Green is fast, orange and red are slow (poor).
There are also articles …
Chose GTmetrix
GTmetrix gathers data from both Google PageSpeed and YSlow at same time, so we're using it more often than Google's alternative.
On the other hand, Google PageSpeed offers neat features like download optimized images, scripts and CSS (which GTmetrix don't), so it could be a …
Optimizely Web Experimentation
Chose Optimizely Web Experimentation
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 …
Chose Optimizely Web Experimentation
I do not have any issues with AB Tasty. They are great. We went with Optimizely because they have several other products that will work together with our business model. Optimizely has grown and it now offers many other products that work with experimentation like CMS, CMP, ODP …
Chose Optimizely Web Experimentation
Google Optimize and Hotjar
Chose Optimizely Web Experimentation
Optimizely is highly intuitive, allowing marketers or non-technical folks to run experiments without complicated coding. It also allows for various types of experimentation, including A/B tests, multivariate tests, and personalization. This capability will enable teams to run …
Chose Optimizely Web Experimentation
This is a platform that was already implemented when I started with my current company.
Chose Optimizely Web Experimentation
The feature set and ecosystem for Optimizely seemed much more robust and scalable.
Chose Optimizely Web Experimentation
None of them have a best in class stats engine and live within an ecosystem of marketing technology products the way that Optimizely does, so the scalability of using any one of those tools is limited as compared to using Optimizely Web Experimentation.
Chose Optimizely Web Experimentation
It's a lot more, well, site stacked, it's way better than that. Adobe Target. I think the UI is easier to use on Optimizely. The one thing that I would say comparatively is our analytics talking to each other. Obviously Adobe, we use Adobe Analytics and Adobe Target, so they …
Chose Optimizely Web Experimentation
Optimizely is more user-friendly and cost-effective, ideal for experimentation-focused teams, while Adobe Target excels in advanced personalization and seamless integration within the Adobe ecosystem, making it better suited for large enterprises.
Chose Optimizely Web Experimentation
We analyzed a few competitors and optimizely had the most robust feature set and scalability
Chose Optimizely Web Experimentation
I feel Optimizely Web Experimentation stacked up well against Split
Chose Optimizely Web Experimentation
We haven't used other Optimizely products apart from Web Experimentation.
Chose Optimizely Web Experimentation
Optimizely Web Experimentation was more robust and able to handle the broad array of sites we run than VWO. It has been a great platform to easily add additional sites onto, but still providing a universal overview of all of them, making management a simple task.
Chose Optimizely Web Experimentation
we used Optimizely Web Experimentation then AB Tasty but came back to Optimizley because of its robust stat sig and features as well as all of the products we will be able to work in synchronization.
Chose Optimizely Web Experimentation
We use both, it just depends on the use case. I personally prefer feature experimentation but I see why both are useful.
Chose Optimizely Web Experimentation
Optimizely Web Experimentation has more robust product for experimentation specialists than VWO
Chose Optimizely Web Experimentation
Handshake by Shopify (discontinued)
Chose Optimizely Web Experimentation
Better tools but more expensive
Chose Optimizely Web Experimentation
It exists unlike google optimize
Chose Optimizely Web Experimentation
Optimizely Web Experimentation appeared to be much more user friendly and easier to self-manage than AB Tasty
Chose Optimizely Web Experimentation
I think that Optimizely Web Experimentation is much easier to implement and use, but the entire Adobe Experience Cloud provides a ton of value if you have multiple products.
Chose Optimizely Web Experimentation
Honestly, Optimizely Web Experimentation has its pros and cons just like any other tool. We use Optimizely because we have resources here in the country that can help us when e have issues. The support team being local helps a lot so we don't have long wait times to get things …
Features
GTmetrixOptimizely Web Experimentation
Testing and Experimentation
Comparison of Testing and Experimentation features of Product A and Product B
GTmetrix
9.4
Ratings
14% above category average
Optimizely Web Experimentation
8.0
Ratings
2% below category average
a/b experiment testing10.00 Ratings9.00 Ratings
Split URL testing10.00 Ratings8.50 Ratings
Multivariate testing7.50 Ratings8.40 Ratings
Multi-page/funnel testing8.00 Ratings7.90 Ratings
Cross-browser testing10.00 Ratings8.10 Ratings
Mobile app testing9.00 Ratings8.00 Ratings
Test significance9.00 Ratings8.40 Ratings
Visual / WYSIWYG editor10.00 Ratings8.10 Ratings
Advanced code editor10.00 Ratings8.00 Ratings
Page surveys10.00 Ratings6.20 Ratings
Visitor recordings10.00 Ratings8.40 Ratings
Preview mode10.00 Ratings7.60 Ratings
Test duration calculator7.50 Ratings7.90 Ratings
Experiment scheduler10.00 Ratings8.20 Ratings
Experiment workflow and approval10.00 Ratings7.80 Ratings
Dynamic experiment activation10.00 Ratings7.50 Ratings
Client-side tests8.50 Ratings7.80 Ratings
Server-side tests8.50 Ratings7.20 Ratings
Mutually exclusive tests10.00 Ratings8.20 Ratings
Audience Segmentation & Targeting
Comparison of Audience Segmentation & Targeting features of Product A and Product B
GTmetrix
10.0
Ratings
16% above category average
Optimizely Web Experimentation
8.2
Ratings
4% below category average
Standard visitor segmentation10.00 Ratings8.40 Ratings
Behavioral visitor segmentation10.00 Ratings7.70 Ratings
Traffic allocation control10.00 Ratings9.10 Ratings
Website personalization10.00 Ratings7.80 Ratings
Results and Analysis
Comparison of Results and Analysis features of Product A and Product B
GTmetrix
10.0
Ratings
17% above category average
Optimizely Web Experimentation
8.3
Ratings
1% below category average
Heatmap tool10.00 Ratings9.30 Ratings
Click analytics10.00 Ratings8.80 Ratings
Scroll maps10.00 Ratings8.50 Ratings
Form fill analysis10.00 Ratings8.00 Ratings
Conversion tracking10.00 Ratings8.70 Ratings
Goal tracking10.00 Ratings8.20 Ratings
Test reporting10.00 Ratings7.90 Ratings
Results segmentation10.00 Ratings7.70 Ratings
CSV export10.00 Ratings7.90 Ratings
Experiments results dashboard10.00 Ratings8.00 Ratings
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User Ratings
GTmetrixOptimizely Web Experimentation
Likelihood to Recommend
10.0
(0 ratings)
8.7
(0 ratings)
Likelihood to Renew
-
(0 ratings)
9.5
(0 ratings)
Usability
9.1
(0 ratings)
10.0
(0 ratings)
Availability
-
(0 ratings)
10.0
(0 ratings)
Performance
-
(0 ratings)
7.3
(0 ratings)
Support Rating
4.0
(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
GTmetrixOptimizely Web Experimentation
Likelihood to Recommend
GTmetrix is very well suited for small organizations or startups that do not have sufficient technical staff for site optimization. GTmetrix also comes with the free version, which allows users to use their service for free for up to three websites, which is a good option. However, this might not be the best option for a large organization that works in different technical domains and have a good number of technical staff.
Read full review
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
  • Really complete report of performance issues.
  • Get reports from PageSpeed and YSlow at same time.
  • Gives a score from each separate tool, also displays loading time, page size and total requests very easily.
Read full review
  • 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.
Read full review
Cons
  • They might consider improving their checking process speed, it often takes a huge time to display the performance report. This is even longer for non-logged-in users.
  • Previously two different options of Google's Pagespeeds and Yahoo's lighthouse were shown in the report section, now only combined report is shown. I personally like the two reports from different sources.
  • Non-tech savvy persons might not find it so easy to use.
Read full review
  • 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
It's easy to use fast, data is easy to read and take aways are great too.
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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
I have never had the need to use GTmetrix support. Therefore, there is really no way for me to give a grade here. However, if you are on a paid plan my guess and it is a guess, is that their support is as good as the tool is. There are a lot more features in the paid plans, reporting. monitoring etc. I could see where support could come into play as these features are added to the account
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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
Given we are doing the work to improve in Google to a large degree - the Google product is essential. But GTMetrix may use their info as well as other independent stuff to be a little better. I appreciate the way GTMetrix provides the info - cleaner and clearer and thus quicker to address.
Read full review
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
Read full review
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
  • A great free tool that is does what it is meant to do very well.
  • Due to its simplicity and speed it is highly efficient.
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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
Read full review
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.