AB Tasty vs. Optimizely Web Experimentation

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AB Tasty
Score 8.9 out of 10
Mid-Size Companies (51-1,000 employees)
AB Tasty is a SAAS application created for e-marketers that enables them to optimize their website and conversion rate without technical knowledge. They can test several versions of their pages to identify which one has the biggest impact on their business objectives, e.g. click-through rate on a call to action button, add-to-cart rate, global conversion rate of their website.N/A
Optimizely Web Experimentation
Score 8.6 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
AB TastyOptimizely Web Experimentation
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
AB TastyOptimizely Web Experimentation
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
Community Pulse
AB TastyOptimizely Web Experimentation
Considered Both Products
AB Tasty
Chose AB Tasty
AB Tasty is the king when it comes to cost/benefit. It is not the cheapest but not the most expensive. It is a very advanced tool and we like the fact of not having to pay extra fees for more advanced features that we may only use for one test. Also, the chat support …
Chose AB Tasty
AB Tasty is great, probably the best optimizing tool you can use. Easy, loads of features, great support from CSM. Great variation editor whereas Monetate and VWO don't have a lot of features/widgets. Optimizely is good but again not a lot of capability without a dev. Whereas …
Chose AB Tasty
The product roadmap is interesting. Support is quite professional. Features are very useful.
Chose AB Tasty
AB Tasty has very aggressive pricing and a simple-to-use toolset. We feel that AB Tasty gives us what we need and the other vendors don't provide additional value to justify the cost.
Chose AB Tasty
We selected AB Tasty mostly because we got a sense that their dev and customer service teams were going to go above and beyond to help us out. We were right! The cost was also a factor as they came in a small bit lower, but cost wasn't the only factor.
Chose AB Tasty
AB Tasty is far more affordable than most of them, but with the same functionality and better reporting (reporting looks similar to Optimizely). Monetate requires an agency or a dedicated CRO team to manage and run tests, and is best for large companies with a lot of traffic …
Chose AB Tasty
We selected AB Tasty over other leading A/B Testing platforms due to its huge list of features, dedicated account support and competitive licensing model.
Chose AB Tasty
It's a different tool - and could probably borrow some of the UI and ease of use from the other tools, but excels in providing prebuilt functionality and more detailed targeting. It also needs a lot more learning - when the other tools are pretty much pick up and go.
Chose AB Tasty
We benchmarked AB Tasty vs. Kameleoon and Optimizely - the clear 3 leaders for me at the time I made the survey. Optimizely was and is still too expensive compared to the other two.

We then tested AB Tasty against Kameleoon with the acquisition team for 8 weeks. I was using Kame…
Chose AB Tasty
We used Webtrends Optimize before AB Tasty. We needed to change because, with Webtrends, you had to be a developer to use it. It was in 2015, I think Webtrends can now be used by non-technical users. In 2015, we made a request for proposals and AB Tasty was the most affordable …
Chose AB Tasty
AB Tasty compared to Optimizely has a better GUI, support including code development is included, updates are made monthly.
Chose AB Tasty
AB testing tool are all converging. Be focused on price and roadmap.
Optimizely Web Experimentation
Chose Optimizely Web Experimentation
> Adobe's pretty cool for its recomentation / AI / ML engine > VWO's wysiwyg is pretty solid and the heatmapping is nice > abtasty's consent features are pretty cool to launch patch and AB Test Consent Rate > Monetate & Dynamic Yield's pre-built personalization features help …
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
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
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
Better UI, more integrated with our enterprise
Chose Optimizely Web Experimentation
Optimizely Web Experimentation is perfect for medium or advance use but not for basic use. For basic use or new users VWO would be a better fit, or for users who would do a test once per month with low traffic. Optimizely is more for users or companies who use cro or do …
Chose Optimizely Web Experimentation
Optimizely is my favorite due to its ease of use and exceptional testing capabilities. It is not the cheapest tool, but the other tools that could be compared are not cheap—you get what you pay for. Some of the smaller tools are making gains, though!
Chose Optimizely Web Experimentation
Optimizely has the best combination of all the best features of all the personalization platforms I've ever evaluated or used on a regular basis.
Chose Optimizely Web Experimentation
Analytics are vastly superior, platform UI is by far the easiest to use, and capabilities are best in class. If your organization has any budget for a web experimentation tool, it should be using Optimizely Web Experimentation.
Chose Optimizely Web Experimentation
More complex
Chose Optimizely Web Experimentation
Optimizely has a more robust toolset and is also more affordable.
Chose Optimizely Web Experimentation
Better documentation releases new features and a better UI experience.
Chose Optimizely Web Experimentation
Optimizely has better customer service if you need to talk to a person and a great library of documentation if you run into issues and want to troubleshoot yourself. Web Experimentation has allowed for our testing capabilities to grow as our research program develops. …
TrustRadius Insights
AB TastyOptimizely Web Experimentation
Highlights

TrustRadius
Research Team Insight
Published

Optimizely and AB Tasty are both A/B testing tools designed to help businesses to test the performance of different versions of web content. Both A/B testing tools are used by businesses of all sizes, though Optimizely is more popular with larger enterprises while A/B Tasty is used more often by smaller to mid-sized businesses.

Features

Optimizely and AB Tasty both include essential A/B testing features such as split testing and test scheduling, but they also each have standout features that set them apart from each other.

Optimizely includes funnel analysis features that allow businesses to see the steps users go through to reach a certain page or complete a certain event. This feature is useful when determining where users are dropping off in processes like registration. Optimizely also includes easy to use visual editor features that allow users to quickly create multiple versions of pages using HTML, CSS, and JavaScript.

AB Tasty includes built-in heatmaps that allow businesses to see what parts of pages users interact with most often and what areas aren’t being used. Heatmaps help businesses see what features are getting the most attention and if any important features are not being noticed by users. Additionally, AB Tasty includes surveys businesses can use to directly ask users questions about the page they are using. AB Tasty also includes a widget library developers can use to make simple changes to a page without writing code.

Limitations

Though Optimizely and AB Tasty both offer robust feature sets, they also have a few limitations that are important to consider.

Optimizely doesn’t have built-in Heatmaps, so it can be difficult to see what elements of a page users are interacting with most often. Optimizely does include an integration with Hotjar, but for businesses looking for a complete package, heatmaps aren’t available. Additionally, Optimizely doesn’t include surveys, so it can be more difficult to receive direct feedback from users compared to AB Tasty.

AB Tasty doesn’t include features for funnel analysis. As a result, when testing processes such as user registration, or product purchases it can be tricky to see where users drop off without additional analytics tools. AB Tasty’s visual editor is also not as robust as Optimizely’s which is a more complete development tool.

Pricing

Both AB Tasty and Optimizely do not list complete pricing information, though quotes are available from their sales team. Optimizely includes three pricing tiers for businesses, including a cheaper “essentials” package, and a more feature-complete “enterprise” package. AB Tasty is priced depending on the business in question.

Features
AB TastyOptimizely Web Experimentation
Testing and Experimentation
Comparison of Testing and Experimentation features of Product A and Product B
AB Tasty
8.3
22 Ratings
1% below category average
Optimizely Web Experimentation
7.9
163 Ratings
5% below category average
a/b experiment testing8.422 Ratings9.0163 Ratings
Split URL testing8.215 Ratings8.5135 Ratings
Multivariate testing8.419 Ratings8.4139 Ratings
Multi-page/funnel testing7.816 Ratings7.9126 Ratings
Mobile app testing6.55 Ratings8.075 Ratings
Test significance8.23 Ratings8.4147 Ratings
Visual / WYSIWYG editor10.018 Ratings8.0133 Ratings
Advanced code editor8.98 Ratings7.9125 Ratings
Page surveys7.33 Ratings6.217 Ratings
Preview mode7.09 Ratings7.6145 Ratings
Test duration calculator10.02 Ratings7.7112 Ratings
Experiment scheduler9.36 Ratings8.2112 Ratings
Client-side tests9.49 Ratings7.996 Ratings
Server-side tests7.01 Ratings7.250 Ratings
Mutually exclusive tests8.64 Ratings8.180 Ratings
Cross-browser testing00 Ratings8.097 Ratings
Visitor recordings00 Ratings8.418 Ratings
Experiment workflow and approval00 Ratings7.890 Ratings
Dynamic experiment activation00 Ratings7.574 Ratings
Audience Segmentation & Targeting
Comparison of Audience Segmentation & Targeting features of Product A and Product B
AB Tasty
8.9
21 Ratings
2% above category average
Optimizely Web Experimentation
8.3
152 Ratings
5% below category average
Standard visitor segmentation9.420 Ratings8.4147 Ratings
Behavioral visitor segmentation8.118 Ratings7.7122 Ratings
Traffic allocation control9.421 Ratings9.1144 Ratings
Website personalization8.719 Ratings7.9111 Ratings
Results and Analysis
Comparison of Results and Analysis features of Product A and Product B
AB Tasty
8.6
22 Ratings
0% below category average
Optimizely Web Experimentation
8.3
149 Ratings
4% below category average
Heatmap tool7.38 Ratings9.313 Ratings
Click analytics9.116 Ratings8.833 Ratings
Scroll maps9.18 Ratings8.517 Ratings
Conversion tracking8.421 Ratings8.744 Ratings
Goal tracking9.021 Ratings8.2127 Ratings
Test reporting8.722 Ratings7.9137 Ratings
Results segmentation8.119 Ratings7.7103 Ratings
Experiments results dashboard9.39 Ratings8.049 Ratings
Form fill analysis00 Ratings8.072 Ratings
CSV export00 Ratings7.9102 Ratings
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AB TastyOptimizely Web Experimentation
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Score 9.9 out of 10
Medium-sized Companies
Dynamic Yield
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Score 8.9 out of 10
Dynamic Yield
Dynamic Yield
Score 8.9 out of 10
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Score 8.9 out of 10
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All AlternativesView all alternativesView all alternatives
User Ratings
AB TastyOptimizely Web Experimentation
Likelihood to Recommend
9.5
(53 ratings)
8.7
(254 ratings)
Likelihood to Renew
7.7
(8 ratings)
9.5
(51 ratings)
Usability
8.8
(3 ratings)
10.0
(58 ratings)
Availability
-
(0 ratings)
10.0
(7 ratings)
Performance
-
(0 ratings)
7.3
(6 ratings)
Support Rating
7.3
(2 ratings)
10.0
(16 ratings)
Online Training
8.0
(1 ratings)
3.0
(1 ratings)
Implementation Rating
-
(0 ratings)
8.0
(11 ratings)
Configurability
-
(0 ratings)
6.0
(1 ratings)
Product Scalability
-
(0 ratings)
8.0
(163 ratings)
User Testimonials
AB TastyOptimizely Web Experimentation
Likelihood to Recommend
AB Tasty
A/B Tasty tool allows us do easy testing without burdening our limited developer resources all the time. Reports are simple enough to interpret. Support has been excellent and proactive, also the onboarding was successful. It is also an advantage that we have the possibility to drive all our traffic to the test versions rather than being limited to specific user amount per month. We can recommend A/B Tasty for testing purposes, as the platform keeps it’s promises, doesn’t require too much technical knowledge and the support is excellent.
Read full review
Optimizely
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
AB Tasty
  • Customer-focused. Over the past year, AB Tasty has worked with us to overcome many obstacles (e.g. tracking hurdles, ITP issues, etc.). The team always finds a solution in a timely manner to ensure we're able to execute on experiments.
  • Reliability. One of the biggest hurdles earlier this year were the ITP regulations set out by Apple. Over 40% of our ad traffic was Safari users. AB Tasty was using 3rd party cookies but quickly migrated over to a local session storage solution that circumvented the issue.
Read full review
Optimizely
  • 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
AB Tasty
  • Sometimes the platform is a little glitchy and requires a refresh.
  • Would be great to be able to see the experiments and projects on a timeline with their status and main result to have an immediate view of ongoing and completed projects.
  • Email notification for when an experiment reaches a certain confidence level.
Read full review
Optimizely
  • JavaScript is hard to implement sometimes especially for JQuery elements
  • ROI reporting should be part of the overall experimentation reporting
  • CMP integration: where we can easily show status of test on the HPT request
  • CMS integration
  • More widgets like social proof banners, etc.
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Likelihood to Renew
AB Tasty
AB Tasty's tool as well as the support team completely met my goals on A/B Testing. Editing a test is really easy and AB Tasty made the marketing team free to launch nearly any test. Reporting is also easy to set up and give us the information needed to keep improving transformation on landing pages and forms
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Optimizely
I rated this question because at this stage, Optimizely does most everything we need so I don't foresee a need to migrate to a new tool. We have the infrastructure already in place and it is a sizeable lift to pivot to another tool with no guarantee that it will work as good or even better than Optimizely
Read full review
Usability
AB Tasty
The tool’s usability is excellent, with a smooth and intuitive interface. It is continuously updated with new features and improvements aimed at enhancing the user experience. Setting up experiments and personalizations is straightforward, thanks to a well-structured process that even less experienced users can easily follow. There are sometimes small issues with the QA section which slows the QA process but it is so much better now compared to 2024.
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Optimizely
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
AB Tasty
No answers on this topic
Optimizely
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
AB Tasty
No answers on this topic
Optimizely
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
AB Tasty
Support is good, but it would be better if it was quicker or if AB Tasty provided a quicker SLA. At times, you require stuff urgently but AB Tasty support isn't as quick as I personally like it to be.
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Optimizely
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
AB Tasty
There is a vast amount of training available on their online platform, including their university area of which you can get certified for (and then share this with your connections on platforms such as Linkedin). There is also specific hand created training which can be provided by your customer success manager if that is requested by yourself.
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Optimizely
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
AB Tasty
No answers on this topic
Optimizely
In retrospect: - I think I should have stressed more demo's / workshopping with the Optimizely team at the start. I felt too confident during demo stages, and when came time to actually start, I was a bit lost. (The answer is likely I should have had them on-hand for our first install.. they offered but I thought I was OK.) - Really getting an understanding / asking them prior to install of how to make it really work for checkout pages / one that uses dynamic content or user interaction to determine what the UI does. Could have saved some time by addressing this at the beginning, as some things we needed to create on our site for Optimizely to "use" as a trigger for the variation test. - Having a number of planned/hoped-for tests already in-hand before working with Optimizely team. Sharing those thoughts with them would likely have started conversations on additional things we needed to do to make them work (rather than figuring that out during the actual builds). Since I had development time available, I could have added more things to the baseline installation since my developers were already "looking under the hood" of the site.
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Alternatives Considered
AB Tasty
We selected AB Tasty mostly because we got a sense that their dev and customer service teams were going to go above and beyond to help us out. We were right! The cost was also a factor as they came in a small bit lower, but cost wasn't the only factor.
Read full review
Optimizely
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
AB Tasty
No answers on this topic
Optimizely
We can use it flexibly across lines of business and have it in use across two departments. We have different use cases and slightly different outcomes, but can unify our results based on impact to the bottom line. Finally, we can generate value from anywhere in the org for any stakeholders as needed.
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Return on Investment
AB Tasty
  • Since we use AB tasty our conversion rates have significantly increased on the Watch pages.
  • We can report positive comments about the evolutions of our interfaces, from our expert users. And so improved customer satisfaction.
  • The solution allows us to validate or invalidate without taking major risk while gaining in reactivity, our proposals relook pages.
  • Commitment rates are much higher, multiplied by 2 or 3, when we implement customizations that are relevant. These customizations are very relevant insofar as we are governed by the seasonality of events as a media site.
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Optimizely
  • We're able to share definitive annualized revenue projections with our team, showing what would happen if we put a test into Production
  • Showing the results of a test on a new page or feature prior to full implementation on a site saves developer time (if a test proves the new element doesn't deliver a significant improvement.
  • Making a change via the WYSIWYG interface allows us to see multiple changes without developer intervention.
Read full review
ScreenShots

AB Tasty Screenshots

Screenshot of the reporting interface.Screenshot of the dynamic widget library.Screenshot of AB Tasty's WYSIWYG editorScreenshot of the campaign management dashboardScreenshot of targeting criteria, available so users can target specific user segments

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.