Head-to-head · AB Testing
Optimizely Feature Experimentation vs VWO Testing
Optimizely Feature Experimentation leads on 1 check, VWO Testing on 0, and 2 are even. Who comes out ahead on the 3 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreOptimizely Feature Experimentation · 9.3/10
- Free planonly Optimizely Feature Experimentation
- Free trialonly VWO Testing
- Most featuresVWO Testing · 2 of 3
Optimizely Feature Experimentation scores higher on our rubric for ab testing: 9.3 against 8.8 out of 10; our editors rank them #1 and #4.
Optimizely Feature Experimentation offers free plan; VWO Testing doesn't.
Optimizely Feature Experimentation is the better fit for teams prioritizing feature and rollout experiments. VWO Testing is the better fit for teams wanting broad web and mobile testing.
- Optimizely Feature Experimentation fits best
Teams prioritizing feature and rollout experiments
- VWO Testing fits best
Teams wanting broad web and mobile testing
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Side by side
| Feature | Optimizely Feature Experimentation 9.3/10 Visit ↗ | VWO Testing 8.8/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.3 | 8.8 |
| Ranking | #1 in AB Testing | #4 in AB Testing |
| Best for | Teams prioritizing feature and rollout experiments | Teams wanting broad web and mobile testing |
| Pricing model | Free plan + paid | Paid |
| Starting price | — | — |
| Free plan | ✓ (best) | — |
| Free trial | — | 30 days |
| Deployment | Cloud, Mobile, Browser extension | Cloud, Mobile |
| Platforms | Web, iOS, Android | Web, iOS, Android |
| Compliance | SOC 2, ISO 27001, GDPR, PCI DSS | SOC 2, ISO 27001, GDPR, PCI DSS, 2FA |
| Built for | Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Optimizely Feature Experimentation 0/3 · VWO Testing 2/3 | ||
| Client-side tests | Not checked yet | Not checked yet |
| Server-side tests | Not checked yet | ✓ (best) |
| Visual editor | Not checked yet | ✓ (best) |
| Specs | ||
| Testing methods | Not checked yet | Not checked yet |
| Monthly tested users | Not checked yet | Not checked yet |
| Analytics integrations | Not checked yet | Not checked yet |
| Our review | ||
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| Our verdict | Optimizely Feature Experimentation is a developer-focused experimentation and feature management platform for product, engineering, and analytics teams. It combines feature flags, remote configuration, audience targeting, A/B testing,… Read the review → |
VWO Testing was an experimentation product for websites, mobile apps, and server-side experiences. It supported A/B, multivariate, split-URL, multi-page, cross-domain, device-specific, and AI-assisted experiments, with visual and code… Read the review → |
Strengths and trade-offs
Optimizely Feature Experimentation — where it wins
- Feature flags, targeted deliveries, A/B tests, and bandit optimization
- Supports web, iOS, Android, backend services, and API environments
- Local SDK decisioning, progressive rollouts, rollback, and mutual exclusion
Where it doesn't
- Rollouts allows one experiment at a time
- Paid plans require a sales discussion
- Narrower than full web-testing suites
VWO Testing — where it wins
- Supports A/B, multivariate, split-URL, mobile, and server-side tests
- Visual and code editors with targeting, metrics, heatmaps, and recordings
- Feature flags, rollouts, and compliance coverage including SOC 2 and GDPR
Where it doesn't
- Pricing follows a contact-sales model
- No free plan is offered; the trial lasts 30 days
- 24x7 support, SSO, and API access are listed only for Enterprise
- Optimizely Feature Experimentation9.3/10 · Free plan · pricing on request
A developer-focused platform for feature experiments, targeting, flags, and progressive releases.
Visit OptimizelyFull verdict → - VWO Testing8.8/10 · Pricing on request · 30-day trial
Broad experimentation coverage for teams testing websites, apps, and server-side experiences.
Visit WingifyFull verdict →
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All AB testing comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update






