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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Pricing
AB Tasty
Optimizely Web Experimentation
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
AB Tasty
Optimizely Web Experimentation
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
Optional
Additional Details
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More Pricing Information
Community Pulse
AB Tasty
Optimizely Web Experimentation
Considered Both 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
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 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
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 Tasty
Optimizely Web Experimentation
Testing and Experimentation
Comparison of Testing and Experimentation features of AB Tasty and Optimizely Web Experimentation
Feature
AB Tasty
8.1
22 Ratings
1% below category average
Optimizely Web Experimentation
8.0
150 Ratings
3% below category average
a/b experiment testing
8.122 Ratings
9.0150 Ratings
Split URL testing
7.215 Ratings
8.5122 Ratings
Multivariate testing
8.119 Ratings
8.4127 Ratings
Multi-page/funnel testing
9.016 Ratings
7.9116 Ratings
Mobile app testing
5.05 Ratings
8.066 Ratings
Test significance
8.22 Ratings
8.4136 Ratings
Visual / WYSIWYG editor
10.018 Ratings
8.2121 Ratings
Advanced code editor
8.28 Ratings
8.0114 Ratings
Page surveys
5.03 Ratings
6.217 Ratings
Preview mode
7.69 Ratings
7.6133 Ratings
Test duration calculator
10.02 Ratings
7.9101 Ratings
Experiment scheduler
9.16 Ratings
8.2101 Ratings
Client-side tests
9.99 Ratings
7.888 Ratings
Server-side tests
7.01 Ratings
7.244 Ratings
Mutually exclusive tests
9.14 Ratings
8.274 Ratings
Cross-browser testing
00 Ratings
8.186 Ratings
Visitor recordings
00 Ratings
8.418 Ratings
Experiment workflow and approval
00 Ratings
7.881 Ratings
Dynamic experiment activation
00 Ratings
7.565 Ratings
Audience Segmentation & Targeting
Comparison of Audience Segmentation & Targeting features of AB Tasty and Optimizely Web Experimentation
Feature
AB Tasty
8.5
21 Ratings
0% below category average
Optimizely Web Experimentation
8.2
142 Ratings
4% below category average
Standard visitor segmentation
9.120 Ratings
8.4137 Ratings
Behavioral visitor segmentation
7.418 Ratings
7.6113 Ratings
Traffic allocation control
9.121 Ratings
9.1135 Ratings
Website personalization
8.219 Ratings
7.8103 Ratings
Results and Analysis
Comparison of Results and Analysis features of AB Tasty and Optimizely Web Experimentation
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
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
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
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.
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
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.
