What is AB Tasty?
AB Tasty is a digital experience optimization platform for A/B testing, web experimentation, and conversion rate optimization (CRO). It supports feature experimentation across web and mobile with SDK and API implementations for multi-channel testing. Personalization capabilities include advanced segmentation, EmotionsAI-driven targeting, and real-time AdaptiveCX for anonymous visitor enrichment.
E-merchandising unites search, recommendations, and merchandising to surface intent-driven results and personalized product suggestions. Rollouts provide progressive feature release, testing in production, and KPI-triggered rollbacks to reduce deployment risk.
The AI agent Evi delivers evidence-based insights, hypothesis generation, and a visual editor to convert data into experiment changes. Teams can validate ideas before release, accelerate experiment velocity, and optimize customer journeys across channels.
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AB Tasty's key features
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Custom Code Widget: embed custom HTML, CSS, and JavaScript to build widgets and experiences
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Domain Delegation: host AB Tasty tag on your own subdomain for self-hosted tag deployment
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Feedback Analyst: AI-driven analysis of NPS/CSAT feedback to extract themes, sentiment, and verbatim highlights
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Tag V4: optimized tag architecture with reduced footprint and support for Shadow DOMs and iFrames
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Mutually Exclusive Experiments: run multiple concurrent experiments on the same page/audience by enforcing mutual exclusivity
AB Tasty use cases
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Run high-impact A/B and multivariate experiments across web and mobile using AB Tasty's multi-channel SDKs/APIs and AI-driven insights to increase conversion rates, accelerate learning, and minimize engineering overhead
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Roll out new product features safely with AB Tasty's feature-flagging and progressive rollout management, targeting specific segments and using real-time AI insights to detect regressions and automatically rollback or ramp up
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Deliver real-time personalization and e-merchandising powered by segmentation, EmotionsAI and AdaptiveCX to tailor product recommendations, banners and journeys by emotion and behavior, boosting average order value and engagement
Who is it for?
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Product designers
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Software developers
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Product managers
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E-commerce managers
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Data analysts
