Optimizely vs Statsig: Feature Flags Comparison (2026)
Statsig offers a free tier and a transparent starting price of $150/month, while Optimizely does not list pricing information. Statsig also details specific feature limitations for its free and pro tiers, including event and session replay limits, and project restrictions for the pro tier. Optimizely emphasizes authoring, visual editing, and various testing types including A/B, multi-page, feature, and server-side testing, as well as campaign planning and collaboration. Statsig highlights features such as 2M events/month, unlimited flag & config checks, 100,000 session replays/month, 1-year analytics retention, advanced experimentation, API controls, priority support, and warehouse-native deployment. Statsig lists integrations with various data platforms and tools, whereas Optimizely does not list specific integrations.
AI Citation Scorecard
How often each is cited by major AI engines when buyers ask feature flags questions. Last 90 days across ChatGPT, Perplexity, Gemini, Claude, and Copilot.
Probes run hourly; each (engine × query) combo retests every ~3 days.
Pricing
Key Features
- ✓Intuitive authoring and modern visual editing
- ✓A/B, multi-page, feature and server-side testing
- ✓Out-of-the-box agents ready to deploy day one
- ✓Plan campaigns, create content, and seamlessly collaborate
- ✓2M events/month
- ✓Unlimited flag & config checks
- ✓100,000 session replays/month
- ✓1-year analytics retention
- ✓Advanced experimentation
- ✓API controls
- ✓Priority support
- ✓Warehouse native deployment
When to choose Optimizely
Optimizely is suitable for users prioritizing intuitive authoring, visual editing, and a range of testing capabilities including A/B, multi-page, feature, and server-side testing, along with features for campaign planning and collaboration.
When to choose Statsig
Statsig is suitable for users who require a free tier or transparent pricing starting at $150/month, and specific feature limits including 2M events/month, unlimited flag & config checks, 100,000 session replays/month, and 1-year analytics retention. It is also suitable for users who need advanced experimentation, API controls, priority support, warehouse-native deployment, and integrations with platforms like Slack, Snowflake, Databricks, BigQuery, Redshift, CDPs, and observability tools.