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testcritic

Statsig vs Optimizely

Feature checklists rarely decide anything. What decides it is the pricing metric, who has to write the tests, and which limitation you can live with.

Entry price

Free tier available

Free tier

Quote on request

Quote only

What drives the bill

The metric that actually scales your invoice.

One of the most generous free tiers in developer tooling; paid usage is billed on analytics events, not seats.

Enterprise annual contracts, commonly in the tens of thousands and up. Priced by traffic and modules.

Free tier

Generous free tier including unlimited feature flags and a large monthly event allowance.

No free tier.

Open source

Self-hostable

No-code authoring

Languages

JavaScriptTypeScriptPythonJavaC#GoRubySwiftKotlin
JavaScriptPythonJavaC#GoRubyPHPCodeless

Platforms

WebAPIiOSAndroid
WebAPIiOSAndroid

Fits teams

StartupScale-up / mid-marketEnterprise
Enterprise

Adoption

Widely used

Statsig (Amplitude) · since 2020

Widely used

Optimizely · since 2010

Strengths

  • Statistics engine is genuinely strong — sequential testing and CUPED are not marketing veneer.
  • Flags, experiments and analytics in one system removes a whole class of integration work.
  • Warehouse-native mode satisfies data-governance requirements.
  • The most capable visual editor for non-technical experiment authoring.
  • Deep personalisation and audience-targeting features.
  • Established statistics with sequential testing, so peeking is handled correctly.

Limitations

  • Event-based pricing can escalate sharply on high-volume products.
  • Broad surface area means a real learning curve.
  • Changed hands twice in under a year — OpenAI acqui-hired the founding team in September 2025, and Amplitude took over the product and brand in May 2026, so the roadmap is still settling.
  • Expensive, with a suite-oriented sales motion that pushes adjacent products.
  • Client-side testing causes flicker and is increasingly blocked by browsers and blockers.
  • Heavyweight for teams that only need a handful of experiments.

Best for

Product teams that want experimentation and analytics to share one source of truth.

Large marketing organisations running continuous experimentation on high-traffic sites.

All of these integrate with: Snowflake, Segment, Slack.

Pricing last reviewed August 2026 and is indicative only — confirm on each vendor’s own page.