Can A/B testing directly influence brand revenue optimization?

Yes. A/B testing lets you validate decisions with real user data before committing to a full rollout. Small changes like headline tweaks, pricing layouts, or CTA variations often lead to measurable lifts in revenue if they address friction points. Fibr.ai supports this by giving marketers control over on-page variations without needing to build from scratch. You can test content, layout, or offers by segment, then compare performance over time. It removes a lot of the friction that slows down meaningful experimentation.