experimentation▌

Structured guidance for designing, executing, and analyzing content experiments to improve conversion and engagement. \n \n Covers hypothesis frameworks, metric selection, sample size calculation, and statistical significance testing across A/B and multivariate experiments \n Includes detailed resources on p-values, confidence intervals, power analysis, and Bayesian methods for interpreting results \n Provides CMS integration patterns for managing variants at the field level and connecting exter