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Brief
AB Tasty

AB Tasty

Experimentation, Personalization & Conversion Rate Optimizationabtasty.com

AB Tasty unifies experimentation, personalization, and feature management in a single AI-powered platform, enabling teams to optimize digital experiences and ship features with confidence while reducing risk and accelerating growth.

Last updated Oct 11, 2026 by the ATDb Editorial Team

Founded
2013
HQ
Paris, Île-de-France, France
Connections
31

AI-drafted from public sources3 sources cited

At a glance

Employees
201-500
Funding
$40M+
Revenue
$20M-$50M
18integrations10competitors

About

Global leader in AI-powered experimentation and feature management, with strong presence in Europe and growing footprint in North America

AB Tasty is a Paris-based global leader in AI-powered experimentation, personalization, and feature management, founded in 2013. The company provides a comprehensive platform that enables marketing, product, and engineering teams to run A/B tests, deploy personalized experiences, and manage feature flags at scale — all from a single unified interface. Its solutions are designed to reduce risk in digital product releases while maximizing revenue and customer engagement across web, mobile, and other digital channels. The platform combines experimentation (A/B, multivariate, and split testing), behavioral targeting, AI-driven personalization, and feature flagging into one cohesive product suite. AB Tasty serves a broad range of industries including e-commerce, retail, media, travel, and financial services, with clients ranging from mid-market companies to global enterprises. The company has established a strong presence in Europe and North America, positioning itself as a credible alternative to legacy optimization tools with a more modern, integrated approach. In the AdTech and MarTech ecosystem, AB Tasty occupies a strategic position at the intersection of conversion rate optimization (CRO), product experimentation, and customer experience management. Having raised over $40 million in funding — including a notable round led by Partech Partners — the company has invested heavily in AI capabilities and global expansion. Its ability to unify marketing and engineering workflows within a single platform differentiates it from point solutions and positions it competitively against players like Optimizely, VWO, and LaunchDarkly.

Business model

SaaS

Target market

Mid-Market and Enterprise

What they offer

  • Web Experimentation

    A/B, multivariate, and split URL testing for websites and landing pages to optimize conversion rates and user experience.

  • Feature Experimentation

    Server-side experimentation and feature flagging for product and engineering teams to safely roll out and test new features.

  • Personalization

    AI-driven behavioral targeting and audience segmentation to deliver tailored experiences to individual users at scale.

  • Feature Management (Flagship)

    Feature flag and rollout management platform enabling progressive delivery, canary releases, and kill switches for development teams.

  • Recommendations

    AI-powered product and content recommendation engine to increase engagement and revenue through contextual suggestions.

  • Insights & Analytics

    Built-in reporting and statistical analysis tools to measure experiment performance and derive actionable insights.

Key features

AI-powered personalization and audience targetingA/B, multivariate, and split URL testingServer-side feature flagging and progressive rolloutsUnified platform for marketing and engineering teamsVisual editor for no-code experiment creationAdvanced statistical significance and Bayesian analysisReal-time segmentation and behavioral triggersCross-device and cross-channel experimentationSDK support for web, mobile, and server-sidePre-built integrations with major analytics and CMS platforms

Use cases

Conversion rate optimization for e-commerce checkout flowsPersonalized homepage and landing page experiencesProgressive feature rollouts and canary deploymentsProduct recommendation optimizationMobile app experimentation and feature flaggingMultivariate testing of pricing and promotional strategiesReducing cart abandonment through targeted interventionsMedia and publishing content personalization

Customer segments

E-commerce and retail brandsMedia and publishing companiesTravel and hospitality businessesFinancial services and fintech firmsTelecommunications companiesSaaS and technology companiesEnterprise marketing and product teams

Tech & specs

Technology stack

JavaScript SDKReactPythonREST APIsMachine learning / AI personalization engineCDN-based script deliveryServer-side SDKs (Java, Node.js, PHP, Python, Go, Ruby)Webhook integrationsCloud infrastructure (AWS)

Security & compliance

GDPRCCPAISO 27001SOC 2

Deployment

Cloud

API

Yes

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