AB Tasty
AB Tasty provides a unified platform for AI-powered experimentation, personalization, and feature management that enables businesses to optimize digital experiences, increase conversions, and reduce time-to-market for new features through data-driven decision making.
Last updated May 11, 2026 by the ATDb Editorial Team · Connections updated May 14, 2026
- Industry
- Conversion Rate Optimization & Digital Experience Platform
- Business Model
- SaaS
- Target Market
- Mid-Market and Enterprise
- Employee Count
- 201-500
- Funding
- $92M
- Revenue Range
- $20M-$50M
- API Available
- Yes
Leading European experimentation and personalization platform with strong global presence
AB Tasty is a global leader in AI-powered experimentation, personalization, and feature management platforms, founded in 2009. The company provides a unified platform that enables businesses to optimize digital experiences through A/B testing, multivariate testing, personalization, and progressive feature rollouts. AB Tasty serves over 1,000 brands worldwide across various industries including e-commerce, media, travel, and financial services. The platform combines experimentation, personalization, and feature management capabilities into a single solution, allowing marketing, product, and engineering teams to collaborate on optimizing user experiences. AB Tasty positions itself in the conversion rate optimization (CRO) and digital experience optimization space rather than traditional advertising technology, though it plays a crucial role in the broader digital marketing ecosystem. The company has established a strong presence in Europe and North America, competing with players like Optimizely, VWO, and Adobe Target.
Web Experimentation
A/B testing and multivariate testing platform for websites with visual editor and code-based options
Feature Experimentation
Feature flagging and progressive rollout capabilities for product teams to test features in production
Personalization
AI-powered personalization engine to deliver tailored experiences based on user behavior and attributes
Recommendations
AI-driven product and content recommendation engine to increase engagement and conversions
Server-Side Experimentation
Backend experimentation capabilities for testing APIs, algorithms, and server-side logic