AI can’t do all your A/B testing. That’s why we built Web Experiments.

Mixpanel has launched Web Experiments, a visual no-code editor that lets teams make small, low-risk changes to live websites and run A/B tests without engineering tickets, while using the platform’s existing feature flags, metrics, and results infrastructure. The company argues that AI has made writing changes easier but has not resolved barriers such as deployment processes, limited engineering capacity, compliance restrictions, reliable measurement, and interpretation of results. Supporting updates include AI-powered data governance to consolidate duplicate events and improve metric definitions, Mixpanel Agent to help set up experiments, edit dashboards, monitor KPIs, and investigate unexpected changes, and Context Engine integrations with Jira, GitHub, and Linear to incorporate product-development context into analysis. Mixpanel also added MCP audit logs that record AI-driven changes to data, flags, and metrics, aiming to improve accountability and security oversight. Together, the updates are intended to help teams run more frequent experiments while increasing confidence in the data and explanations behind their outcomes.

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