About AB Tasty
AB Tasty is a platform that tries to make your digital experience as engaging as possible through AI-driven experimentation and personalisation. For marketers and product teams, this means you can run A/B tests on both the client-side and server-side, which is a big deal. Client-side testing allows you to make changes directly in the browser, while server-side testing means you can work with backend data to gauge how changes affect user behaviour. This dual approach gives you a comprehensive view of how your audience interacts with your web or app environment, which is crucial for understanding preferences and behaviours.
One standout feature is EmotionsAI, which claims to predict visitor intent through behavioural signals. This is not just a fancy buzzword; if it works as intended, it could allow you to personalise experiences in real-time, potentially boosting conversion rates dramatically. However, I found the implementation of this feature a bit hit or miss depending on the type of data you have available. If you're working with a robust dataset, you might see great results, but smaller operations without that kind of data could struggle to fully utilise what EmotionsAI has to offer.
Pricing for AB Tasty isn’t publicised on their site, which is a bit of a red flag. I reached out for a quote, and they told me they tailor packages based on company size and needs, which could mean you're in for a pricey affair if you’re not careful. For e-commerce businesses and SaaS companies that are serious about optimising their online presence, this could be worth the investment. However, if you're a smaller startup or a freelancer, you might find yourself priced out or overwhelmed by features you don't necessarily need.
In my experience, AB Tasty is great for teams looking to dive deep into analytics and personalisation, but it’s not without its drawbacks. If you’re someone who prefers straightforward tools without a steep learning curve, you might want to consider alternatives. The complexity and breadth of features mean that it might take a while to get the hang of it, and if your team doesn’t have the resources to fully leverage the platform, you might end up underutilising it or feeling frustrated with the experience overall. It’s a double-edged sword that can either work beautifully or become a burden depending on your team's capabilities and needs.
Our Review
Verified 11 May 2026Reviewed by Delv Editorial, Delv Team
When I first got my hands on AB Tasty, I was excited to dive into all the features it promised. As a platform aimed at marketers and product teams, it offers a rich suite of tools for A/B testing and personalisation that could genuinely help enhance user experiences. The dual A/B testing capabilities—client-side and server-side—are fantastic for getting a complete picture of how users interact with your site or app. I found that I could easily set up tests to see which variations of my landing pages performed better. The dashboard provided a wealth of insights, and I appreciated the ability to track key performance metrics all in one place.
One feature that stood out to me was EmotionsAI, which claims to predict visitor intent based on their behaviour. In practice, I found this could lead to some clever personalisation; however, I did have mixed results. For example, when I tested it on a larger dataset, the predictions seemed spot on, but with less data, it felt more like a shot in the dark. If you're a smaller business without a solid data foundation, you might find this feature less beneficial than advertised.
Pricing is another area where AB Tasty could improve. The lack of transparency made me a bit wary. After reaching out for a quote, I realised that costs vary widely based on company size and needs. While this could be great if you're a larger company with a budget to match, smaller businesses might find themselves priced out or stuck paying for features they don't need.
Comparing AB Tasty to competitors like Optimizely, I found that while AB Tasty offers more advanced features, Optimizely has a more intuitive interface and clearer pricing, making it easier for newcomers to get started. If you’re a digital marketer or part of a product team in a larger organisation, AB Tasty could be just the ticket. However, if you’re a solo entrepreneur or a small business, you might want to consider simpler, more cost-effective alternatives. Overall, AB Tasty has powerful tools that can truly enhance your digital strategies, but they come with a learning curve and potentially steep costs that might not suit everyone’s needs.
Getting started with AB Tasty
In this guide, you'll learn how to set up your AB Tasty account and run your first A/B test. By the end, you'll be able to create and manage experiments to optimise your web and app experiences.
Step 1: Sign up and set up
Step 2: Your first A/B test
Step 3: Get better results
Pro tip
Use the “Preview Mode” feature before launching your experiment. This allows you to see how the variations will appear to users and helps catch any errors before going live.
Common mistake to avoid
Avoid launching your A/B test without a clear hypothesis. Make sure you know what you're testing and why to ensure your results are actionable.
The Verdict
If you’re part of a larger marketing or product team and looking for a powerful tool to enhance your digital strategy through A/B testing and personalisation, AB Tasty may be worth the investment. However, if you're a small business or freelancer on a budget or looking for something more straightforward, you might want to explore other options that won’t overwhelm you. Do your homework on pricing and features before diving in.
Best For
- Marketing teams in mid to large-sized companies who need advanced testing capabilities.
- Product teams looking to optimise user experiences based on real-time data.
- E-commerce businesses wanting to enhance conversion rates through targeted personalisation.
- Digital marketers aiming to improve campaigns with detailed analytics and insights.
- Companies ready to invest in a comprehensive, albeit complex, experimentation platform.
At a Glance
AB Tasty offers marketers and product teams the ability to run sophisticated A/B tests and leverage AI for real-time personalisation, making it ideal for optimising user experiences. With features like EmotionsAI, it aims to enhance conversion rates through predictive analytics. However, its pricing lacks transparency, which may deter smaller businesses.
Strengths
- +The dual A/B testing capabilities allow for both client-side and server-side experimentation, giving a comprehensive approach to understanding user interactions.
- +EmotionsAI offers the potential to predict visitor intent through behavioural signals, enabling real-time personalisation that can significantly improve conversion rates.
- +The platform provides robust analytics features that help teams make data-driven decisions based on user behaviour and preferences.
- +Feature flagging capabilities allow for gradual rollouts of new features, reducing risk while maximising engagement and providing valuable feedback.
- +Customisable dashboards make it easier to track key performance indicators and insights relevant to your specific goals and audience.
Limitations
- -The pricing structure isn’t transparent, which can be frustrating for smaller businesses or freelancers who need to budget effectively.
- -The complexity of features may overwhelm users who are not familiar with analytics or A/B testing, leading to a steep learning curve.
- -EmotionsAI's effectiveness can vary depending on the quality of the data available, potentially limiting its usefulness for smaller operations.
- -The platform may feel like overkill for businesses that only need basic A/B testing without the added complexities of personalisation and advanced analytics.
- -Some users have reported that the customer support can be slow to respond, which is frustrating when you’re trying to resolve issues quickly.
Use Cases
- -E-commerce teams looking to test different product page layouts to see which drives more sales.
- -SaaS companies aiming to optimise their onboarding experience by experimenting with various user flows.
- -Digital marketers who want to roll out targeted campaigns based on real-time user behaviour data.
- -Product teams needing to gradually introduce new features while monitoring user reactions and engagement.
- -Businesses wanting to personalise their content based on predictive analytics to enhance user experience.
