ConversionOS analyzes your pages, generates experiments, runs A/B tests, and ships winning changes as GitHub PRs. You approve. It optimizes.
One goal in, permanent improvements out.
Understands page structure, copy, CTA placement, and likely conversion bottlenecks.
Proposes experiment hypotheses and creates concrete variants for headlines, CTAs, layout, and copy.
Review proposed experiments in a clean approval flow. Accept, reject, or edit before anything goes live.
Deploys experiments through your existing stack. PostHog, Statsig, or any provider.
Tracks performance against your goal metric. Determines winners with statistical confidence.
Creates a GitHub PR with the winning change. The improvement becomes permanent in your codebase.
Every existing tool stops at the dashboard. ConversionOS goes further: it ships the winning variant to your actual codebase as a pull request. Permanent improvements, not temporary overlays.
Tell ConversionOS what you want to improve. It figures out what to test, how to test it, and what "winning" looks like.
Provider-agnostic architecture. Works with PostHog, Statsig, Optimizely, or your internal experimentation engine.
Experiment memory means each test makes the next one smarter. Hypotheses improve based on what actually worked on your site.
Winners become GitHub PRs. No copy-paste. No manual implementation. Merge and deploy.
Growth teams shouldn't spend 80% of their time on experiment mechanics. ConversionOS is the operator that handles it all, from hypothesis to production.