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Convert Experiences 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

From $299 per month (Growth, paid annually, 100k tested users; $399 monthly)

Trial only

Free tier available

Free tier

What drives the bill

The metric that actually scales your invoice.

Priced only on tested traffic — unlimited experiments, domains and users at every tier. Growth is $299/month paid annually ($399 monthly) for 100k tested users; Pro starts around $420/month annually.

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

15-day trial.

Developer plan is free forever with unlimited seats.

Open source

Self-hostable

No-code authoring

Languages

JavaScriptCodeless
JavaScriptTypeScriptPythonJavaC#GoRubyPHPSwiftKotlin

Platforms

Web
WebAPIiOSAndroidDesktop

Fits teams

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

Adoption

Emerging

Convert Insights · since 2010

Category standard

LaunchDarkly · since 2014

Strengths

  • Unlimited experiments and seats, so nobody rations testing to save licence cost.
  • Serious privacy posture with EU hosting and no data resale.
  • Transparent, published pricing.
  • 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

  • Client-side only — no server-side experimentation.
  • No feature-flag capability.
  • Smaller vendor with a modest ecosystem.
  • 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

Mid-sized e-commerce teams that want unlimited client-side testing with clean privacy handling.

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

All of these integrate with: Segment.

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