Head-to-head · Experimentation Platforms
Optimizely Experimentation vs AB Tasty
Optimizely Experimentation leads on 0 checks, AB Tasty on 0, and 1 is even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreOptimizely Experimentation · 9.3/10
- Free planonly Optimizely Experimentation
Optimizely Experimentation scores higher on our rubric for experimentation platforms: 9.3 against 8.5 out of 10; our editors rank them #1 and #8.
Optimizely Experimentation is the better fit for teams wanting a broad experimentation suite. AB Tasty is the better fit for teams wanting broad testing and integrations.
- Optimizely Experimentation fits best
Teams wanting a broad experimentation suite
- AB Tasty fits best
Teams wanting broad testing and integrations
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Side by side
| Feature | Optimizely Experimentation 9.3/10 Visit ↗ | AB Tasty 8.5/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.3 | 8.5 |
| Ranking | #1 in Experimentation Platforms | #8 in Experimentation Platforms |
| Best for | Teams wanting a broad experimentation suite | Teams wanting broad testing and integrations |
| Pricing model | Free plan + paid | Paid |
| Starting price | — | Pricing on request |
| Free plan | ✓ (best) | Not checked yet |
| Free trial | — | — |
| Deployment | Cloud | Cloud, Mobile |
| Platforms | Web, iOS, Android | Web, iOS, Android |
| Support | Tickets, Community, Docs | Email, Phone, Docs · 24/7 |
| Compliance | SOC 2, ISO 27001, GDPR, HIPAA, PCI DSS | ISO 27001, GDPR, PCI DSS, SOC 2 |
| Integrations | 3 integrations | 12 integrations |
| Built for | Small business, Mid-market, Enterprise | Mid-market, Enterprise |
| Features Optimizely Experimentation 0/3 · AB Tasty 0/3 | ||
| Server-side experiments | Not checked yet | Not checked yet |
| Mobile experiments | Not checked yet | Not checked yet |
| Feature rollouts | Not checked yet | Not checked yet |
| Specs | ||
| Experiment methods | Not checked yet | Not checked yet |
| Statistical model | Not checked yet | Not checked yet |
| Included users | Not checked yet | Not checked yet |
| Our review | ||
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| Cons |
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| Our verdict | Optimizely Experimentation is a commercial experimentation platform for marketing, product, and engineering teams. It combines web experimentation with feature experimentation across websites, mobile apps, APIs, and other connected… Read the review → |
AB Tasty is a digital experimentation and feature rollout platform for teams testing web, mobile, and server-side experiences. Its documented scope covers A/B, multivariate, split URL, multi-page, cross-domain, and device-specific… Read the review → |
Strengths and trade-offs
Optimizely Experimentation — where it wins
- Covers visual, server-side, mobile, multivariate, and bandit testing
- Includes feature flags, controlled rollouts, targeting, and remote configuration
- Supports web, iOS, Android, APIs, SDKs, REST, and analytics integrations
Where it doesn't
- Paid plans are individually packaged rather than fixed-price tiers
- The broad feature set may exceed the needs of single-use testing teams
- The product spans separate web and feature experimentation workflows
AB Tasty — where it wins
- Supports A/B, multivariate, split URL, multi-page, and cross-domain tests
- Combines visual editing, targeting, feature flags, and progressive rollouts
- Connects with analytics, commerce, CRM, CDP, and customer-data tools
Where it doesn't
- Pricing requires a sales conversation
- The product is transitioning from AB Tasty to the Wingify brand
- Its broad feature set may exceed the needs of narrowly focused testing teams
- Optimizely Experimentation9.3/10 · Free plan
A broad experimentation suite spanning web, mobile, server-side testing, and feature delivery.
Visit OptimizelyFull verdict → - AB Tasty8.5/10 · Pricing on request
A broad testing platform for teams spanning web, mobile, APIs, and integrations.
Visit WingifyFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update






