A thought experiment: apply A/B testing, multi-armed bandits, and funnel algorithms to retail floorspace and product placement. See why a chain with hundreds of locations is the ideal environment for algorithmic optimization — and how bandits adapt to seasonality without a single manual re-test.
Most A/B tests end inconclusively. Learn the five most common reasons, from insufficient traffic to the peeking problem, and how adaptive algorithms can help.
Traditional A/B testing requires thousands of visitors to reach significance. Learn why multi-armed bandit algorithms are better suited for low-traffic sites and how to calculate when each approach makes sense.
Learn how to run linked experiments across your entire conversion funnel. Optimize landing pages, signups, onboarding, and purchases as a coordinated system instead of isolated tests.