Set it live.
Let it improve.

Dalton uses multi-armed bandit algorithms. Instead of splitting traffic 50/50 and waiting months, it dynamically sends more traffic to better-performing variants while reducing traffic to underperformers. You get results faster and lose fewer conversions along the way.

Most customers see meaningful data within 2-4 weeks, compared to 3+ months with traditional A/B testing. It depends on your traffic volume.

Dalton proposes new experiments based on what it learned from previous results. Winning patterns inform the next round of tests, so your site keeps improving.

Yes. Dalton handles experiment isolation automatically. Each visitor sees a consistent experience, and experiments don't interfere with each other.

We recommend at least 3,000-5,000 monthly visitors per page. Below that, learning and feeling uplift will take longer.

Traditional A/B testing splits traffic equally and waits for statistical significance on one test at a time. Dalton runs multiple experiments simultaneously, allocates traffic dynamically, and gets you answers faster. You can still run a fixed 50/50 split if you need traditional reporting for stakeholders.