A statistical approach that updates probabilities based on new evidence, often used in A/B testing and predictive modeling. Unlike frequentist methods, Bayesian models provide a more flexible framework for interpreting test results and making probabilistic decisions — useful in pricing tests, LTV projections, and paywall optimization.
