ABsmartly vs. AB Tasty

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
ABsmartly
Score 9.7 out of 10
N/A
ABsmartly is an A/B testing and experimentation tool for use across web, email, and apps, both server-side and client-side. The ABSmartly platform is designed for product teams and PLG-driven organisations who want to make data-driven decisions. The ABsmartly platform caters to various testing scenarios, including feature flags, split testing, multi-variant, multi-page, multi-platform, SEO tests, cross-device testing, among others. ABsmartly was founded by experimentation…N/A
AB Tasty
Score 8.8 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
Pricing
ABsmartlyAB Tasty
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
ABsmartlyAB Tasty
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsABsmartly has an events-based pricing model, clients have unlimited experiments, metrics and platform users, and they pay per event. ABsmartly has no pricing tiers or packages, so all customers get all features, including the advanced Group Sequential Testing engine, real time data processing, and collaborative tools. ABsmartly handles the infrastructure costs and provides the platform, however if clients wish, they can handle the infrastructure on their side. ABsmartly's event-based plans start at €60,000/year for 50 Million events per month. ABsmartly includes onboarding, standard training and support at no extra cost. ABsmartly has 2 categories of billable events: Exposure events An exposure event happens every time a call is made to check which variant (of an experiment or a feature flag) to show a visitor. The number of exposure is dependent on the number of unique visitors, the number of experiments and the number of exposure per experiment. Exposure Events = {# unique visitors} x {# experiments} x {# experiment exposures} Goal events A goal event happens every time a goal is triggered by a visitor of an application. A goal is what is used to create an experimentation metrics and they usually represent an action taken by visitors, a click on a button, a conversion, a cancellation, etc. The number of goals events is dependent on the number of unique visitors, the number of goals and the number of goals exposures. Goal Events: = {# unique visitors} x {# goals} x {# goal triggers}
More Pricing Information
Community Pulse
ABsmartlyAB Tasty
Features
ABsmartlyAB Tasty
Testing and Experimentation
Comparison of Testing and Experimentation features of Product A and Product B
ABsmartly
-
Ratings
AB Tasty
8.1
Ratings
1% below category average
a/b experiment testing00 Ratings8.20 Ratings
Split URL testing00 Ratings7.30 Ratings
Multivariate testing00 Ratings8.20 Ratings
Multi-page/funnel testing00 Ratings9.00 Ratings
Mobile app testing00 Ratings5.00 Ratings
Test significance00 Ratings8.30 Ratings
Visual / WYSIWYG editor00 Ratings10.00 Ratings
Advanced code editor00 Ratings8.30 Ratings
Page surveys00 Ratings5.00 Ratings
Preview mode00 Ratings7.50 Ratings
Test duration calculator00 Ratings10.00 Ratings
Experiment scheduler00 Ratings9.20 Ratings
Client-side tests00 Ratings9.80 Ratings
Server-side tests00 Ratings7.00 Ratings
Mutually exclusive tests00 Ratings9.20 Ratings
Audience Segmentation & Targeting
Comparison of Audience Segmentation & Targeting features of Product A and Product B
ABsmartly
-
Ratings
AB Tasty
8.5
Ratings
0% below category average
Standard visitor segmentation00 Ratings9.20 Ratings
Behavioral visitor segmentation00 Ratings7.50 Ratings
Traffic allocation control00 Ratings9.20 Ratings
Website personalization00 Ratings8.30 Ratings
Results and Analysis
Comparison of Results and Analysis features of Product A and Product B
ABsmartly
-
Ratings
AB Tasty
8.3
Ratings
1% below category average
Heatmap tool00 Ratings7.30 Ratings
Click analytics00 Ratings7.60 Ratings
Scroll maps00 Ratings8.50 Ratings
Conversion tracking00 Ratings8.20 Ratings
Goal tracking00 Ratings9.00 Ratings
Test reporting00 Ratings8.30 Ratings
Results segmentation00 Ratings8.00 Ratings
Experiments results dashboard00 Ratings9.20 Ratings
User Ratings
ABsmartlyAB Tasty
Likelihood to Recommend
-
(0 ratings)
9.0
(0 ratings)
Likelihood to Renew
-
(0 ratings)
7.7
(0 ratings)
Usability
-
(0 ratings)
9.0
(0 ratings)
Support Rating
-
(0 ratings)
7.3
(0 ratings)
User Testimonials
ABsmartlyAB Tasty
Likelihood to Recommend
No answers on this topic
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.
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Pros
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  • Easy setup - Simple script insertion into site header.
  • Intuitive interface - It took very little training for our team to understand how to start running A/B tests. The reporting is much more comprehensive, yet easily digestible than other platforms we have used or considered. Confidence scores, flexible KPI inclusions/tracking allow us to understand the results or non-result quickly and with clarity to make decisions on next steps.
  • Customer support - Our CSM and tech support are always helpful and proactive when a question or issue arise. Our CSM keeps us on track when an idea might have dropped off the map due to other priorities, and brings great ideas to the table. We enjoy our monthly touchbases with her when we get to see new functionalities, how other clients successfully used them, and brainstorm ways we can use them for our experience.
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Cons
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  • Sometimes when you're preparing a test the editor "crashes" and you need to re open it. It's just a matter of having to go back to the main dashboard a few times during your preparation.
  • Maybe to have the option to have pre-build templates of pages, buttons and assets that we can use to test experiments.
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Likelihood to Renew
No answers on this topic
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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Usability
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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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Support Rating
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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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Online Training
No answers on this topic
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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Alternatives Considered
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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.
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Return on Investment
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  • This past year we improved our new visitor conversion rates by 73% with very little increases in our ad spend. We've been able to test quickly and infer how those experiments impacted lead generation. Experimentation is all about continually learning and testing.
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ScreenShots

ABsmartly Screenshots

Screenshot of ABsmartly platform overviewScreenshot of ABsmartly Group Sequential Testing time savings and efficiency gainsScreenshot of ABsmartly's Experimentation TemplatesScreenshot of ABsmartly interaction detection - interactions rarely happen but good to know if they doScreenshot of ABsmartly feature flag creationScreenshot of ABsmartly health checks

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