AB Tasty was founded in 2009 by Alix de Sagazan and Rémi Aubert and has become a leading player in the experience optimization market. The software provides a range of solutions that enable businesses to optimize their applications by creating and running A/B tests, split tests, multivariate tests, personalization campaigns, and product recommendations. AB Tasty can also be used to test mobile apps, OTT apps, and IoT wearables. 

AB Tasty uses machine learning to run experiments while maximizing your conversation rate. The software routes users to winning experiences whenever possible.

Product Highlights

Machine Learning Product Image

Machine Learning

AB Tasty's dynamic allocation feature uses AI to run experiements without sacrificing conversions. Once a winning version of your experiment begins to emerge, the software starts sending more traffic to the higher converting combination.

Engagement Segmentation

Loyal users are much different than disengaged users. AB Tasty automatically builds segments based on a user's level of engagement so you can deliver segment specific content variations.

Content Experiments Features

  • Feature Management
  • Personalized Experiences
  • Server-Side Experiments

Available Plans

AB Tasty

Content Experiments Features

  • Feature Management
  • Personalized Experiences
  • Server-Side Experiments