Experimentation & feature flags · Wingify

AB Tasty

French web experimentation and personalization platform defaulting to Bayesian reporting, now merged with VWO under the Wingify brand.

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AB Tasty runs A/B, multivariate, and personalization campaigns on websites and apps, and made Bayesian statistics its default reporting method — reporting a "probability to win" (e.g. "92.55% chance to win") rather than a p-value — because the company judged it easier for non-statisticians to interpret and act on early. It also offers a Frequentist Analysis mode for teams that want traditional significance testing, including sequential and CUPED-aware options. In January 2026, Wingify (owner of VWO) acquired AB Tasty, and by September 2026 the two companies had launched a unified brand and platform called Wingify, spanning experimentation, personalization, analytics, feature management, commerce, and customer engagement; the AB Tasty product and login continue to operate through the transition. Deployment is cloud-hosted.

At a glance

Vendor Wingify
Pricing model Quote only
Free tier —
Deployment Cloud
Open source No
Best for Teams wanting Bayesian-first reporting with an option to switch to frequentist analysis.

Pricing

Tiered plans (Growth, Pro, Enterprise) under the unified Wingify pricing page; no list prices shown, contact sales.

Checked on the vendor's own page on September 21, 2026: no prices are published. Expect to be quoted.

Features

  • A/B and multivariate testing
  • Bayesian statistics by default ("probability to win")
  • Optional Frequentist Analysis mode
  • Web and app personalization
  • Feature flagging
  • Now unified with VWO under the Wingify platform

Integrations

Profile last reviewed September 21, 2026

Alternatives

VWO Long-running web experimentation and personalization platform, using a Bayesian stats engine, now merging with AB Tasty under the Wingify brand. Optimizely One of the original A/B testing platforms, now the experimentation module of a broader digital-experience suite (CMS, commerce, personalization). Kameleoon Web experimentation and feature-management platform supporting frequentist, sequential, and Bayesian analysis side by side.

AB Tasty in the index now

Terms to know

A/B testing A controlled experiment that compares two variants to measure which one produces a better outcome. Statistical significance A threshold judgment that an observed effect is unlikely to be due to chance alone, given the data and test used. Multivariate testing (MVT) An experiment that varies several page or product elements at once, to measure each element's individual effect and how elements interact. P-value The probability of observing data at least as extreme as the result, if the null hypothesis were actually true.

Related guides

How to choose an experimentation and feature-flag platform Pick by where your experiment data comes from — flag telemetry or your own warehouse — and which statistical engine your team trusts, not feature count.