VWO Feature Experimentation
VWO Feature Experimentation lets teams compare feature variations and measure their real-world impact, including changes to backend logic, pricing criteria, …
What VWO Feature Experimentation is
VWO Feature Experimentation lets teams compare feature variations and measure their real-world impact, including changes to backend logic, pricing criteria, algorithms, and AI features. Users can adjust experiments without changing the codebase, and machine learning can allocate traffic toward a winning variation. If a live experiment causes problems, it can be turned off without redeploying. SmartStats provides Bayesian and Frequentist methods, real-time reporting, error and peeking correction, and automatic sample ratio mismatch detection. Teams can run A/B, multivariate, and multi-armed bandit experiments, including server-side and mobile tests, and use feature rollouts. Developers install SDKs and build features; non-developers can configure and test feature variables in the dashboard. Wingify offers SDKs for 10+ languages and frameworks, REST APIs, an MCP server, and OpenFeature support. Listed integrations include Amplitude and Segment. The product supports Android, iOS, web, and API use. Pricing is on request, with a 30-day trial; Growth, Pro, and Enterprise plans are listed.
Good
- Supports A/B, multivariate, and multi-armed bandit tests.
- Can automatically allocate traffic to a winning variation.
- Problematic production experiments can be switched off without redeploying.
- SmartStats includes Bayesian and Frequentist methods.
- Offers SDKs for 10+ languages and frameworks.
Watch out
- No free plan is listed.
- Pricing is available on request.
- The 30-day trial is time-limited.
Who it suits
It suits teams that need to experiment with product features across web, mobile, or server-side systems. Developers can build with SDKs while non-developers manage feature variables in the dashboard.
Verdict
VWO Feature Experimentation combines feature tests, rollouts, and experiment reporting, with controls for live experiments. Consider it if your team needs this mix and is prepared to request pricing.
Plans and prices
From VWO Feature Experimentation's own pricing page, checked 30 Sep 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Enterprise | Priced on request | Unlimited feature flags and variables · Advanced capabilities · 24x7 Support |
| Growth | Priced on request | 10 feature flags · 5 feature variables · 3 environments · Feature Experimentation & Rollouts · Basic Reporting · Webhooks · Basic Support |
| Pro | Priced on request | Unlimited feature flags and variables · Advanced capabilities · Advanced Support |
The facts
Each one read from VWO Feature Experimentation's own pages, with the date it was checked.
What it does
- Experiment safety
- Users can turn off a problematic production experiment instantly without redeploying or manually toggling it.checked 30 Sep 2026
- Experiment setup
- The product lets users create variations and modify experiment configurations without changing their codebase.checked 30 Sep 2026
- Integrations
- The integrations directory describes Amplitude cohort import and campaign-data export, and a two-way real-time data sync with Segment.checked 30 Sep 2026
- Intended users
- The product page says developers install SDKs and build features, after which non-developers can configure and test feature variables from the dashboard.checked 30 Sep 2026
- Pricing model
- Wingify says pricing is custom and depends on factors including traffic volume, selected products and plans, and implementation scope.checked 30 Sep 2026
- Product purpose
- Feature Experimentation tests different feature versions, including backend logic, pricing criteria, algorithms, and AI features, to measure real-world impact.checked 30 Sep 2026
- SDKs and API
- Wingify offers SDKs for 10+ languages and frameworks, REST APIs, an MCP server, and OpenFeature support.checked 30 Sep 2026
- Security
- Wingify lists ISO 27001:2022, ISO 27701:2019, ISO 27017:2015, ISO 27018:2019, PCI DSS v4.0.2, and SOC 2 Type II certifications or assessments.checked 30 Sep 2026
- Statistics
- SmartStats offers Bayesian and Frequentist methodologies, built-in error and peeking correction, automatic sample ratio mismatch detection, and real-time reports.checked 30 Sep 2026
- Support
- The product page advertises a dedicated success manager, technical experts, and 24/7 support with a stated 99% CSAT.checked 30 Sep 2026
- Traffic allocation
- Machine learning can automatically allocate traffic to the winning variation.checked 30 Sep 2026
The company
- Founded
- 2009checked 28 Sep 2026
- Headquarters
- Delhi, India and Paris, Francechecked 28 Sep 2026
Money
- Trial
- The pricing page says users can start a free trial account to explore core products, tools, and settings, and also offers a preconfigured sample-rich playground.checked 30 Sep 2026
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