I'm currently working as an e-commerce project manager at THOM. I am in charge of the user experience and optimization/projects for …
Traffic allocation control (16)
a/b experiment testing (17)
Test reporting (17)
Conversion tracking (16)
Entry-level set up fee?
- No setup fee
- Free Trial
- Free/Freemium Version
- Premium Consulting / Integration Services
Starting price (does not include set up fee)
- $40 per month
AB Tasty is a provider of AI-powered experimentation and personalization, helping businesses drive more conversions and revenue on all their digital assets. The vendor states that with their optimization platform marketing and product teams are enabled to turn website visitors into customers, subscribers or leads, while delivering outstanding user experiences. Presently the vendor boasts a customer list that includes Ashley Furniture, Kiehl's, Sephora, USA Today, Saint Laurent Paris, as well as more than 900 global enterprises. AB Tasty has 10 offices in 6 countries with local language support and 40% of its workforce is dedicated to R&D.
Testing and personalization
Users can display different variations of a web design and discover how they compare to the original design. AB Tasty supports multiple types of testing methods, including:
- A/B and split testing (classic testing)
- Multivariate testing (combination testing)
- Multipage (funnel testing)
Personalization Widget Library
This dynamic widget library allows users to easily add features such as pop-ins, surveys, chat functions, countdown banners, and more.
- Supported: a/b experiment testing
- Supported: Split URL testing
- Supported: Multivariate testing
- Supported: Multi-page/funnel testing
- Supported: Mobile app testing
- Supported: Visual / WYSIWYG editor
- Supported: Advanced code editor
- Supported: Page surveys
- Supported: Preview mode
- Supported: Test duration calculator
- Supported: Experiment scheduler
- Supported: Client-side tests
- Supported: Server-side tests
- Supported: Mutually exclusive tests
- Supported: Standard visitor segmentation
- Supported: Behavioral visitor segmentation
- Supported: Traffic allocation control
- Supported: Website personalization
- Supported: Heatmap tool
- Supported: Click analytics
- Supported: Scroll maps
- Supported: Conversion tracking
- Supported: Goal tracking
- Supported: Test reporting
- Supported: Results segmentation
- Supported: Experiments results dashboard
- Supported: API
- Supported: Web analytics integration
- Supported: Content Management System Integration
- Supported: Search Engine Optimization/Marketing Integration
- Supported: Integration with CRM or DMP software
- Adobe Marketing Cloud
- Crazy Egg
- Google Analytics
- Webtrends Analytics
- AT Internet
- Mapp Intelligence, powered by Webtrekk
- Tealium AudienceStream
- Commanders Act TagCommander
- Contentsquare (Clicktale)
- Comscore Ad Metrix
- Twilio Segment
- Matomo (formerly Piwik)
- Salesforce DMP (formerly Krux)
- Magento Commerce Cloud (formerly Magento)
- Matomo (formerly Piwik)
- Salesforce DMP (formerly Krux)
- Matomo (formerly Piwik)
- Salesforce DMP (formerly Krux)
- Heap Analytics
- Matomo (formerly Piwik)
- Adobe Analytics / Omniture
- Universal Analytics
|Small Businesses (1-50 employees)||10%|
|Mid-Size Companies (51-500 employees)||70%|
|Enterprises (more than 500 employees)||20%|
|Mobile Application||Apple iOS, Android|
|Supported Countries||United States, Canada, United Kingdom, Ireland, Nordics, France, Germany, Spain, Australia, China|
|Supported Languages||English, French, Spanish, German, Dutch, Polish|
Frequently Asked Questions
- Number of experiments is unlimited.
- Experiments can overlap or not (I prefer not having overlapping).
- Widgets feature is great because you can quickly validate best practices.
- Google Analytics integration is fine but it requires code developing.
- Sometimes the information received is not accurate and they have to apply manual internal processes in order to fix it.
- Automatic insights about audience performance (ex. for an experiment running, giving info about public coming from Spain buy less).
- Running many experiments at once.
- Conversion knowledge into the company.
Less appropriate scenarios:
- Not having a development team (you can't make the best of the tool without implementing extra code).
- The price depends on traffic so for huge traffic projects, the monthly fee can be a barrier.
- It would be nice to buy the tool with a traffic limit and use it in as many projects as you like.
- Real-time changes - Ability to change and set an experience live in minutes. Without the need of a developer.
- Widgets - Being able to easily create experiences live with the ready to use widgets available from the AB Tasty library.
- Targeting experiences - Wide range of targeting options available, which allows us to easily target different customers and segments.
- Variation editor - It's pretty great but definitely room for improvement. More functionality would be great.
- Very responsive and professional support, every time we have questions the answers are found, they answer quickly.
- Fairly easy to use, also people without development background can manage to do tests with the editor.
- Dealing with dynamic elements is quite complicated and usually requires developers help.
- We are waiting to get the heatmap back, it would bring additional value to see where in the page users have been clicking elements.
- Intuitive editor
- Complex targeting
- Mobile QA Testing
- Easy to use
I would definitely recommend AB Tasty for their software and their support!
- The variation software
- The ease of use
- If you have many different websites, it takes a bit of managing
- 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.
- User interviews. This is currently not something any AB testing platform is doing but I think it'd be a huge value add for the company.
- Ability to take notes in more areas of the platform. AB Tasty lacks some of the robustness, in terms of project management, that you find in VWO. Ultimately this isn't a pain point, just a nice to have.
- You don't require advanced skills
- UX is quite good
- More features
- More assistance and training
- Easy to use dynamic page editor provides a lot of flexible and quick ways to set up tests.
- Terrific and attentive customer service, major reason we've remained. We rely partially on their development team to build some tests for us and they are wonderful.
- Consistently updating features and functionality.
- Does a real nice job with the reporting dashboards.
- Automatic conversion of global currencies to US dollar in high-level reporting would be nice (though you can filter in their reporting tool, it's just extra steps).
- Perhaps an improved folder and tagging system for easier organizing.
It helps us :
- To test each optimization before investing in dev
- To personalize our offer for each customer
- No limits - Unlimited tests
- The AB Tasty team - always available and always have a solution
- Code editor (HTML/CSS/JS) for quick fix or test
- The UI to implement a test
- Widget to quick adding message ont website
- Heatmap (but I know they [are working] on it)
- Page flow in the report part
- Session recording
- Very intuitive
- Cool design
- Contact AB Tasty
- To be able to share the reports
- Prevent the Google bot from accessing the AB test in case of redirection
The tool allows us to continually optimise our websites and increase our conversions through A/B and multivariate testing as well as serving personalised content.
- Simple one-tag implementation allows you to get up and running in minimal time.
- In-page visual editor allows changes to be made to the site without technical expertise.
- Dedicated account and technical support with impressive turnaround times.
- Strong segmentation and personalisation options.
- Huge range of integrations.
- Occasional glitches within the visual editor, especially with responsive content.
- Better debugging tools when testing experiments locally i.e. a preview environment.
- Occasionally when adding goals in to the reporting tool, they will not load immediately.
- A solution for marketers. Indeed, Ab Tasty's Saas solution does not require advanced technical knowledge, and thus allows marketers to regain control over their websites.
- A team dedicated to listening and performing. This is one of the major strengths of this start-up. Teams are available and accompany us at every moment: from training to the use of the tool, to the implementation of very specific tests.
- The interface is perfectly thought out. It is intuitive and allows you to make decisions quickly and efficiently with clear and relevant analysis tables. In addition, the solution fits perfectly into our ecosystem because it is connected to our Google Analytics account, our CRM and other internal tools.
- Finally, listening to their team makes it possible to regularly improve their tool by adding new functionalities according to the needs of the users.
- One point of improvement could be the implementation of multi-account management. Indeed, being in charge of the management of Eurosport sites around the world we try to share our actions and evolutions on our various sites.
- Nevertheless, this point is not blocking to the extent that we use our major sites to do our global redesign tests. I think that this need is specific to the media, and that the increasing implementation of customization of the UX brings us to have a more precise approach, which requires a case-by-case study.
- A/B campaign tests with easy to read indicators.
- A wide range of web marketing strategy fine tuning using powerful indicators and evidence from data analytics.
- Account Managers understand our needs and always listen to our technical or strategic questions.
- Each month a team from AB Tasty explains through a webinar a key concept of AB testing or tips to be operational and autonomous on the interface, and this is very helpful.
- AB Tasty's interface is complete, intuitive and innovative.
- It would be useful to have more examples of winning tests in different industries, it is always inspiring.
- Apart from traditional options of the interface, it is sometimes difficult to run the tests by ourselves.
- Ab tasty helped us to very easily create promotional pop-ups to highlight our gift with purchase operations. It allows us to be very prompt in launching a gift and promoting it.
- We had some refresh to do on our portrait version on tablet, and AB tasty helped us to target the tablet in portrait, and to display a message suggesting to pivot the tablet to have better navigation. It helped us to avoid having to do development to display this message.
- We had really different point of view regarding up-selling banners. AB tasty helped us to create an AB test allowing us to compare conversion rate and average basket with respect to the up-selling banner was displayed or not, and helped us make a decision thanks to concrete results.
- A debugger console is missing, because it is sometimes hard to understand why your personalization is not displaying.
- Rich and versatile platform
- Stats analysis
- UX consulting
- No room for improvement
We learn everyday by testing things that would take longer to develop on the first hand.
- Measuring the impact of different layouts on the homepage
- Developing scenarios of onsite retargeting
- Optimising funnel and UX
- The heat mapping must not be on only 25% of the homepage
- Multivariate testing
- Funnel optimization
- Content personalisation
- Increase the number of widgets in the widget library
I'm currently working as an e-commerce project manager at THOM. I am in charge of the user experience and optimization/projects for histoiredor.com/marc-orian.fr & orovivo.de.
We have used AB Tasty for almost 1 year for:
- Personalization (banner, countdown banner, reengagement modal, advertising modal.)
- AB tests
We used AB Tasty to make careful changes and validate them before going on line. We also used it to validate a hypothesis and prove that an opinion about the best experience can be proven wrong through an A/B test. And we used it for personalization because the tool is quite simple. We can do a lot of things with all of the available widgets without disturbing our IT team.
- Easy to install
- Segmentation (lot of criteria available)
- Great support
- Need their support or a developer on your team if you want to do some complicated tests
AB Tasty is now [being used] inside all marketing teams across all companies of the group. We started with the acquisition department to optimise both the volume and cost of leads. We then integrated this approach to increase the conversion rate on the order forms. We're now working on up-sells/cross-sells and renewals efforts.
After having reviewed Optimizely, Kameleoon, and AB Tasty... we benchmarked the last 2 solutions for 8 weeks. I was already using Kameleoon for a non-profit organization for 18 months but I opted for AB Tasty for an entire commercial group of 9 entities. I was convinced it was the right choice. I'm not the only one today. Provided you solve the minor issues while onboarding staff on the solution for their first tests... they will soon be autonomous. Some are now addicted to A/B testing. The ROI is excellent.
- Increase conversion rate on leadgen pages by more than 22%
- Increase content sharing on social networks for a petition by... 1870% (from 0,5% to almost 10%)
- Increase ratio of recurring/one-shot donations for a non-profit organization by 285% (from 7% to 27%)
- Reporting and "insights" are great, but we [wish] AB Tasty could automatically analyze all the segment combinations to bring valuable info (like 8% overall increase but covering +16% on mobile and -2% on PC so we should exclude this segment from this optimized version).
- Overall control on tests to send warnings like "you should not stop this test until it runs for one complete week", or "you should not consider overall performance as it is not stabilized" (when conversion curves are crossing each other so the winning version is not always the same...).
Difficult to handle a lot of content modifications or reorganizations in one single test. Use a new page instead and create a traffic split. Never used the classification of the pages visited during sessions (not well marketed or too complex?).
- Clear and easy user environment.
- Quick implementation for new functionality
- Widgets and third party integrations
- Calendar to plan all my content tests, but I think they are working on it.
- High level CRO project audit, but we haven't asked about it, maybe they have this service.
At La Croix, we mostly use AB Tasty as a personalization tool. We have a large number of personalisations to follow the client life cycle. AB Tasty's plugin library is very useful for us.
- Great client support. We have a dedicated optimization consultant that is available for us and help us in the implementation of our tests and personalizations.
- The solution is very user-friendly. Even though the software users need to have some basic knowledge of HTML, the UX is pleasant to use.
- AB Tasty has a great variety of plugins. It is useful when doing marketing actions like pop-ins, expand banners etc.
- There is no easy way to manage the personalization. For example, if test 1 is displayed then test 2 should not. We have to manually exclude tests/personalizations.
- Edition of variations
- Technical set up
- Support and training
- Dashboarding & analyse (confidence rate for all KPI needed)
- No server side
- Impossible to cancel extreme orders which causes perturbation on analysis
- Good tool to start AB testing and become autonomous.
- Some limitations for very advanced features (server side).
It also addresses delivery and time-to-market issues.
- Easy way to transform your winner variant to a personalization.
- Their statistical calculation engine is based on a Bayesian approach.
- Documentation is not very detailed.
- The editor is a bit slow to load.