Insights on A/B testing, multi-armed bandits, conversion optimization, and the science of experimentation.
Learn the key differences between multi-armed bandit algorithms and traditional A/B testing, and when each approach maximizes your conversion rate.
A practical guide to Thompson Sampling, the Bayesian bandit algorithm that balances exploration and exploitation to find winning variants faster.
Everything you need to know about CRO: from hypothesis generation to statistical significance, with practical examples and tools.
Understand p-values, confidence intervals, and sample sizes without a PhD. Learn how to run experiments that produce trustworthy results.
How contextual bandits enable real-time personalization that adapts to each visitor's context, outperforming static A/B tests.
Experiment Flow