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.
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Optimizely Web Experimentation
Score8.7 out of 10
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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.
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Signifyd Commerce Protection Platform
Score5 out of 10
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The Signfyd Commerce Protection Platform is fraud protection software that aims to enable online retailers to provide a friction-free buying experience for their customers. Signifyd leverages big data, machine learning and domain expertise in order to provide a financial guarantee against fraud on approved orders that later turn out to be fraudulent. This effectively shifts the liability for fraud away from retailers, allowing them to increase sales and open new markets while reducing risk.…
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Pricing
AB Tasty
Optimizely Web Experimentation
Signifyd Commerce Protection Platform
Editions & Modules
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Offerings
Pricing Offerings
AB Tasty
Optimizely Web Experimentation
Signifyd Commerce Protection Platform
Free Trial
No
Yes
No
Free/Freemium Version
No
No
No
Premium Consulting/Integration Services
No
Yes
No
Entry-level Setup Fee
No setup fee
Optional
No setup fee
Additional Details
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More Pricing Information
Community Pulse
AB Tasty
Optimizely Web Experimentation
Signifyd Commerce Protection Platform
Considered Multiple Products
AB Tasty
Verified User
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 …
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Digital Optimisation Specialist in Information Technology at Pets at Home (Retail, 10,001+ employees)
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 …
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Verified User
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Senior Director of Web & E-Commerce in Marketing at Avid (Computer Software, 1001-5000 employees)
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Verified User
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 …
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Senior Metrics Analyst in Marketing at Spark44 (Marketing and Advertising, 501-1000 employees)
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Verified User
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Director, Strategic Information Systems in Information Technology at SNI Editions (Publishing, 51-200 employees)
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…
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Ecommerce Manager in Marketing at Fleurop Interflora España S. A. (Retail, 11-50 employees)
Chose AB Tasty
About Google Analytics, Google Tag Manager and Hotjar, they are not the same product but we use them in our CRO strategy and we continue using them to complete AB Tasty capacities. Optimizely is a direct competitor and we worked with it for two years, it is a good tool too, but …
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Front end Developper in Information Technology at Webnet (Information Technology and Services, 501-1000 employees)
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 …
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Verified User
Chose AB Tasty
AB testing tool are all converging. Be focused on price and roadmap.
Optimizely
Verified User
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 …
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Verified User
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Verified User
Chose Optimizely Web Experimentation
Optimizely Web Experimentation appeared to be much more user friendly and easier to self-manage than AB Tasty
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
XO Director in Marketing at Jellyfish (Internet, 5001-10,000 employees)
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 …
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Verified User
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!
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Verified User
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Data & CRO Consultant at Making Science (Management Consulting, 1001-5000 employees)
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 …
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Director of Testing & Optimization in Corporate at L'Oreal and previously at Rise Interactive (Cosmetics, 10,001+ employees)
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Verified User
Chose Optimizely Web Experimentation
Optimizely has a more robust toolset and is also more affordable.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Verified User
Chose Optimizely Web Experimentation
Better documentation releases new features and a better UI experience.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Verified User
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. …
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
I think Signifyd is well suited for any eCommerce store that delivers physical goods to an address. You will be protected if they approve the order and it turns out to be fraud, and you can take comfort knowing you won't ship any orders that are declined. It is not well suited for companies selling digital goods or services as they won't protect anything that's not physically shipped.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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
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
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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).
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.
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
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.
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
