Bayesian Priors Explained: A/B Testing Guide
Bayesian priors in A/B testing explained with real numbers: informative vs uninformative priors, how each reshapes the posterior, and when to use each.
Complete, honest guides on CRO, A/B testing and experimentation. The most complete articles on the web, no fluff.
Bayesian priors in A/B testing explained with real numbers: informative vs uninformative priors, how each reshapes the posterior, and when to use each.
Thompson sampling explained: how it draws from each arm's Beta posterior and why it converges faster than epsilon-greedy, with a worked example.
CUPED is a variance reduction technique that uses pre-experiment data to shorten A/B test duration without losing statistical rigor.
Learn what a contextual bandit is, how it differs from a simple multi-armed bandit, and when it earns its added complexity over A/B testing.
Multi-armed bandits vs A/B testing: when adaptive traffic allocation wins, Thompson Sampling explained, and a real numeric cost comparison.
Open source A/B testing tools compared: GrowthBook, PostHog, Unleash, and Flagsmith by self-hosting cost, license, and statistical rigor.
A/b testing tools pricing compared: how VWO, Optimizely, AB Tasty, Convert.com, and Kameleoon actually bill, and how to request the right quote.
A neutral comparison of A/B testing tools for Shopify: native pricing apps, client-side platforms, and what checkout extensibility blocks.
The best WordPress A/B testing tools for 2026, compared by caching-plugin compatibility, WooCommerce support, statistical rigor, and pricing.