Outtest vs LaunchDarkly
LaunchDarkly is a release tool first. Engineers wrap changes in feature flags, roll them out gradually, and turn a flag into an experiment with Bayesian or frequentist analysis, CUPED and warehouse-native metrics. It has no visual editor by design, so every variant is code your team writes, reviews and ships.
Outtest skips the flag code. Its AI agents read your analytics and payment data, find the biggest leak, write the new version of the page, ad or flow, run the test and call the winner on revenue per visitor from your payment tool. It covers landing pages, pricing, trials, cancel flows, Meta ads and SEO, and costs from $29 a month for 3 tests. Outtest is new. LaunchDarkly has been around since 2014 and says it serves more than 5,500 customers.
At a glance
| Outtest | LaunchDarkly | |
|---|---|---|
| Best for | Founders and small teams who want tests run for them and judged on real revenue, without a CRO specialist. | Engineering organizations that release through feature flags and want experiments on the same flags, from a free plan up to enterprise governance. |
| Price | From $29/month (3 tests a month). 20% off yearly. | Free Developer plan with 100K experimentation MAU a month. Foundation is pay as you go at $10 per service connection and $8.33 per 1,000 client-side MAU a month, billed yearly, after a 14-day trial. Enterprise and the Guardian add-on are custom. |
| Free plan or trial | No free plan or trial | Free plan |
| AI builds the test versions | Yes | Partly |
| Judges tests on revenue from your payment tool | Yes | Partly |
| Visual editor | No | No |
| Server-side tests | Partly | Yes |
| Stats engine | Bayesian, on revenue per visitor | Both (Bayesian and frequentist, with sequential testing and CUPED) |
| Payment integrations | Stripe, Shopify, Polar, Whop, Paddle, Lemon Squeezy, Gumroad, Dodo Payments, Creem, RevenueCat, Chargebee | None listed |
Pick LaunchDarkly if
- You already release through feature flags and want experiments on the same flags.
- You run tests in backend services, mobile apps or AI features, not only on web pages.
- You need governance such as approvals, scheduled changes, custom roles and audit logs (Enterprise).
- Your metrics live in Snowflake, BigQuery, Redshift or Databricks and you want warehouse-native analysis.
- You want automatic rollback when a release hurts guardrail metrics (Guardian add-on).
Pick Outtest if
- Nobody on your team has time to write flag code for marketing tests.
- You want tests judged on revenue per visitor pulled from Stripe, Shopify, Paddle or another payment tool.
- Your tests are on landing pages, pricing pages, trial offers, cancel flows, Meta ads or SEO page groups.
- You want a price tied to tests run, not to monthly active users.
The verdict
LaunchDarkly suits engineering teams that ship through flags and want experimentation inside their release process, especially larger companies with governance needs. Outtest suits founders and growth teams who want revenue-judged tests on marketing and pricing surfaces run by AI agents, with no flag code. They solve different problems, so running both is reasonable.
Questions people ask
Is LaunchDarkly Experimentation included or an add-on?+
It's included. The pricing page lists A/B tests and experiments on the free Developer plan with 100K experimentation MAU a month, and experimentation features on Foundation and Enterprise too. Experiment approvals are Enterprise only.
How much does LaunchDarkly cost?+
Developer is free. Foundation is pay as you go at $10 per service connection a month after the first 5 and $8.33 per 1,000 client-side MAU a month billed yearly, with a 14-day trial. Enterprise and the Guardian add-on are custom priced.
Does LaunchDarkly have a visual editor?+
No. LaunchDarkly argues that WYSIWYG editors bypass code review and cause page flicker, so variants are built in code behind feature flags.
What stats does LaunchDarkly Experimentation use?+
Both Bayesian and frequentist analysis. The pricing page also lists CUPED variance reduction, sequential testing, sample ratio mismatch detection, multi-armed bandits and holdouts.
Can LaunchDarkly measure revenue?+
Yes, if you supply it. You can build a custom numeric metric such as average revenue per user from events your SDK sends, or use warehouse-native metrics from Snowflake, BigQuery, Redshift or Databricks. It doesn't connect to payment tools like Stripe directly. Outtest reads revenue from the payment tool and judges every test on revenue per visitor.
Sources
Checked on 28 September 2026 from LaunchDarkly's own pages. Prices and features change; check LaunchDarkly's site before you buy.
- launchdarkly.com/pricing/
- launchdarkly.com/docs/home/account/calculating-billing
- launchdarkly.com/docs/home/experimentation
- launchdarkly.com/docs/home/experimentation/create
- launchdarkly.com/docs/home/experimentation/types
- launchdarkly.com/docs/integrations/experimentation
- launchdarkly.com/docs/guides/metrics/example-metrics
- launchdarkly.com/blog/have-you-outgrown-your-wysiwyg-experimentation-tool/
- launchdarkly.com/about-us/
Let Outtest run your split tests
AI agents read your analytics and payments, find where you lose the most money, build the fix and test it. Every test is judged on revenue, not clicks. Plans from $29 a month.