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testcritic

Statsig vs Kameleoon

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

From $495 per month (PBX Starter: 10 experiments, 50k tested visitors)

Trial 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.

Kameleoon now publishes an entry price. Above Starter it is priced by traffic and modules on a custom quote.

Free tier

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

30-day trial, no card, up to 3 experiments.

Open source

Self-hostable

No-code authoring

Languages

JavaScriptTypeScriptPythonJavaC#GoRubySwiftKotlin
JavaScriptPythonJavaC#PHPGoCodeless

Platforms

WebAPIiOSAndroid
WebAPIiOSAndroid

Fits teams

StartupScale-up / mid-marketEnterprise
Scale-up / mid-marketEnterprise

Adoption

Widely used

Statsig (Amplitude) · since 2020

Established

Kameleoon · since 2012

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.
  • Genuinely good hybrid model — the same experiment can run client- and server-side.
  • Effective anti-flicker implementation.
  • EU hosting with healthcare-grade compliance options.

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.
  • Smaller market presence outside Europe.
  • Only the entry tier is priced publicly; everything above it is a sales conversation.
  • Fewer third-party integrations than Optimizely.

Best for

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

European enterprises needing both marketer and developer experimentation under GDPR.

All of these integrate with: Segment.

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