4 Best A/B Testing Tools in 2026 (1 Is Free)
Statsig, GrowthBook, LaunchDarkly, and Optimizely ranked on pricing, stats engines, and ease of setup. One top option is completely free.
Experimentation platforms let teams validate product changes with data before full rollout. Costs range from free open-source to six-figure enterprise contracts. Here are 4 platforms ranked by value for product teams.
Product experimentation platform with feature gates, A/B tests, and analytics.
Best for: Growth teams running lots of experiments
Open-source feature flagging and A/B testing platform with Bayesian statistics.
Best for: Data-savvy teams wanting control
Enterprise feature management platform with feature flags, experimentation, and rollouts.
Best for: Engineering-heavy teams at scale
Enterprise optimization platform for experimentation, personalization, and content management.
Best for: Large orgs with dedicated optimization teams
Quick Comparison
| # | Tool | Pricing | Segment | Best For |
|---|---|---|---|---|
| 1 | Statsig | Free (50M events), custom pricing | Enterprise | Growth teams running lots of experiments |
| 2 | GrowthBook | Free (open source), cloud from $75/mo | Mid-Market | Data-savvy teams wanting control |
| 3 | LaunchDarkly | $10/seat/mo, enterprise custom | Enterprise | Engineering-heavy teams at scale |
| 4 | Optimizely | Custom pricing (enterprise) | Enterprise | Large orgs with dedicated optimization teams |
Best by Budget
Verdict
Statsig offers the best value with a generous free tier and strong experiment analysis. GrowthBook is the top open-source option. LaunchDarkly leads for enterprise feature management. Optimizely is for organizations with dedicated optimization teams.
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