Testing · head to head
Kameleoon vs Statsig
Kameleoon
Testing
A/B testing and feature experimentation with a hybrid client and server-side engine
- From
- On request
- Rated
- -
Statsig
Project Management
Unified platform for feature flags, A/B testing, and product analytics
- From
- Free
- Rated
- -
The short version
- Only Statsig has a free tier, so it costs nothing to try first.
- Each has a real cost: Kameleoon no rate card is published. Reported entry pricing around several hundred euros a month for the limited prompt-based tier comes from third parties rather than Kameleoon, so any budget you build before contacting sales is a guess.; Statsig pro plan is limited to a single project, requiring Enterprise for multi-project support.
- They diverge on capability: Kameleoon covers Visual A/B test editor, Statsig covers Feature Flags.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Kameleoon and Statsig actually diverge.
Identical on both: user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Kameleoon
- Visual A/B test editor
- Server-side experimentation
- Feature flags
- Anti-flicker engine
- AI personalisation
- EU data hosting
- Shared audiences
- Statistics options
Only in Statsig
- Feature Flags
- Experimentation
- Product Analytics
- Session Replay
- Web Analytics
- Warehouse-Native Deployment
- Role-Based Access & SSO
What people use each for
The jobs each tool is most often brought in to do.
Kameleoon
- A European retailer whose legal team requires EU-hosted experimentation data and has ruled out US-only vendorsnot Statsig
- A team running both marketing page tests and product feature rollouts that wants one results engine rather than two disagreeing onesnot Statsig
- A media site where client-side flicker on a test variant is visibly damaging the reading experiencenot Statsig
- An organisation re-tendering experimentation after Optimizely or VWO pricing changes and wanting an independent European vendornot Statsig
Statsig
- Rolling out features gradually with kill switchesnot Kameleoon
- Running A/B tests with statistical rigornot Kameleoon
- Tracing metric regressions to specific releasesnot Kameleoon
- Consolidating analytics and experimentation toolingnot Kameleoon
- Warehouse-native experimentation for data teamsnot Kameleoon
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Kameleoon
- No rate card is published. Reported entry pricing around several hundred euros a month for the limited prompt-based tier comes from third parties rather than Kameleoon, so any budget you build before contacting sales is a guess.
- Web experimentation, feature experimentation and personalisation are licensed as separate capabilities, so the unified platform story costs materially more than the entry configuration most buyers are first quoted.
- The partner and agency ecosystem is concentrated in France and continental Europe; a buyer in North America or Asia will find fewer implementation specialists and less community knowledge than for Optimizely or VWO.
- The integration catalogue is smaller than the market leaders, so a stack built on less common analytics or CDP tooling may need custom work that a larger vendor would cover natively.
- Client-side visual testing still carries the structural problems of the approach, including performance cost and single-page-application fragility; the anti-flicker engine reduces the symptom but does not remove the dependency on the DOM staying stable.
Statsig
- Pro plan is limited to a single project, requiring Enterprise for multi-project support.
- Overage pricing on the Pro plan can become costly for high-event-volume products.
- Warehouse-native deployment and advanced access controls are gated behind custom Enterprise contracts.
- Free tier session replay and analytics retention are capped, pushing active teams toward paid tiers quickly.
Pricing, plan by plan
Kameleoon
On request- Kameleoon$undefined/year
- Priced on monthly tested users and features licensed
- Web experimentation, feature experimentation and personalisation licensed separately
- Free trial of the prompt-based experimentation feature, with data not retained afterwards
Statsig
Free- DeveloperFree
- 2M events/month
- Unlimited flag & config checks
- 50,000 session replays/month
- Pro$150/month
- 5M events included, then $0.05 per 1K events
- Advanced experimentation & analytics
- Unlimited analytics retention
- Enterprise$undefined/month
- Volume-discounted event/experiment contracts
- Warehouse-native deployment
- SSO & role-based access controls
Which should you pick?
Choose Kameleoon if
- You need visual a/b test editor.
- You work on Web, iOS, Android.
- You also want server-side experimentation.
Choose Statsig if
- You need feature flags.
- You want to start without paying.
- You work on web, api.
- You also want experimentation.
Questions people ask
- Is Kameleoon or Statsig better?
- Neither clearly leads. Kameleoon starts at On request and Statsig at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Kameleoon or Statsig?
- Statsig has a free tier; the other does not. Paid plans start at On request for Kameleoon and Free for Statsig.
- Does Kameleoon or Statsig run on more platforms?
- Kameleoon runs on Web, iOS, Android. Statsig runs on web, api.
- Can I use Statsig for free?
- Yes. Statsig has a free tier, so you can try it without paying. Kameleoon starts at On request.
- What is Kameleoon best used for?
- Kameleoon is most often used for a european retailer whose legal team requires eu-hosted experimentation data and has ruled out us-only vendors, a team running both marketing page tests and product feature rollouts that wants one results engine rather than two disagreeing ones, a media site where client-side flicker on a test variant is visibly damaging the reading experience, an organisation re-tendering experimentation after optimizely or vwo pricing changes and wanting an independent european vendor. Of those, a european retailer whose legal team requires eu-hosted experimentation data and has ruled out us-only vendors and a team running both marketing page tests and product feature rollouts that wants one results engine rather than two disagreeing ones are not what Statsig is typically brought in for.
- What can Kameleoon do that Statsig cannot?
- Kameleoon covers Visual A/B test editor, Server-side experimentation, Feature flags, Anti-flicker engine. Statsig covers Feature Flags, Experimentation, Product Analytics, Session Replay.
Answered from the vendors’ own pages
Kameleoon: Does Kameleoon publish pricing?
No. Pricing depends on monthly tested users and which capabilities you licence, and requires a sales conversation.
Statsig: What does Statsig cost?
Statsig offers a free Developer tier, a Pro tier at $150/month with 5M included events and $0.05 per 1,000 events after that, and custom Enterprise pricing based on event or experiment volume.
SourceKameleoon: Can I keep data in the EU?
Yes. EU hosting and a GDPR-first consent model are among the main reasons European buyers shortlist it.
Statsig: Is there a free plan, and what are its limits?
The free Developer plan includes 2M events per month, unlimited flag and config checks, 50,000 session replays per month, and 1-year analytics data retention with unlimited seats.
SourceKameleoon: Does it do feature flags as well as A/B tests?
Yes, through server-side SDKs, sharing audiences and results with the visual testing side.
Statsig: How is usage metered on Statsig?
Statsig meters billable events including exposures with Metric Lifts enabled, log events from SDKs or imports, ingested warehouse metrics, and custom metrics; disabled flag checks are not metered.
SourceKameleoon: How does it compare with Optimizely?
Similar capability at a smaller scale. Kameleoon's advantages are European data residency and an independent vendor; Optimizely's are ecosystem size and partner availability.
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