
Experience Optimizer
Configure A/B tests and web personalizations with hypothesis-driven experiment design
Configure A/B tests and web personalizations with hypothesis-driven experiment design
Hypothesis-driven testing
Every experiment starts with a hypothesis, primary metric, guardrail metric, and sample size calculation.
Visual personalizations
Show different content to different segments based on behavior, traffic source, or lifecycle stage.
Ship decision framework
Blu tells you when results are significant, recommends ship or hold, and explains the trade-offs.
Browse all 30 templates
Click any template to load it into your prompt — edit or send as-is.
A/B Tests
12Personalizations
12Ship Decisions & Analysis
6Under the hood
Skills
Slash Commands
- /creating-ab-tests
- /creating-personalizations
- /analyzing-experiments
- /creating-segments
- /building-dashboards
Chain Participation
Measure before you move. Blu always defines success criteria before launching — primary metric, guardrail, and minimum detectable effect. No experiment ships without a clear decision framework.
Explore the team
9 specialist assistants, orchestrated by Blu
Blu Agent