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testcritic

VWO vs LaunchDarkly

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

Free tier available

Free tier

What drives the bill

The metric that actually scales your invoice.

Priced by monthly tracked users across modules, so buying testing plus insights raises the total substantially. The Wingify rebrand has moved pricing behind Growth/Pro/Enterprise tiers without published figures — get a quote rather than relying on an old VWO list price.

LaunchDarkly has dropped per-seat pricing: Developer is free with unlimited seats, and Foundation is pay-as-you-go on service connections and client-side monthly active users with no platform or seat fee. High-traffic consumer products still get expensive, but now through MAU rather than seats. Enterprise is quote-based.

Free tier

Free starter plan with limited monthly tracked users.

Developer plan is free forever with unlimited seats.

Open source

Self-hostable

No-code authoring

Languages

JavaScriptPythonJavaPHPCodeless
JavaScriptTypeScriptPythonJavaC#GoRubyPHPSwiftKotlin

Platforms

WebiOSAndroid
WebAPIiOSAndroidDesktop

Fits teams

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

Adoption

Widely used

Wingify (VWO + AB Tasty) · since 2010

Category standard

LaunchDarkly · since 2014

Strengths

  • Observation and experimentation in one place shortens the hypothesis loop.
  • Visual editor is capable and marketer-friendly.
  • Cheaper than Optimizely at comparable traffic.
  • Extremely reliable flag delivery with offline fallbacks — this is infrastructure you can trust in the request path.
  • Best-in-class governance: approval workflows, audit logs, role-based access.
  • Code references and stale-flag detection actually help you remove dead flags.

Limitations

  • Module-based pricing means the useful configuration costs much more than the headline.
  • Client-side flicker on complex single-page applications.
  • Server-side capability lags the flag-first platforms.
  • Still the expensive option once client-side MAU volume is real, even after the move off per-seat pricing.
  • Experimentation is competent but less sophisticated than dedicated statistics platforms.
  • Usage-based billing on service connections and MAU is harder to forecast than a seat count.

Best for

Conversion-optimisation teams that want testing and behavioural insight from one vendor.

Engineering organisations where flags are critical infrastructure and governance is required.

All of these integrate with: Segment, Slack.

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