Traditional A/B testing has a flaw: "Regret." While you wait for statistical significance, you are actively sending 50% of your traffic to a losing variation. Enter the Multi-Armed Bandit.
The "Earn While You Learn" Algorithm
Unlike A/B tests, which keep traffic split 50/50 until the end, Bandit algorithms (like Thompson Sampling) dynamically shift traffic to the winning variation in real-time.
- A/B Testing: Best for major structural changes where you need high confidence.
- Bandits: Best for headlines, CTAs, and promotions where you want to maximize revenue during the test.
Automated Bandits
You don't need a data science team to run this. Zyro's Experiment Engine includes a "Bandit Mode" toggle that automatically routes traffic to your best-performing pages.