4 articles
Product AnalyticsA rigorous cost and quality analysis of building versus buying an experimentation platform, including break-even math by experiment volume, the statistical capabilities that matter most, and when each option is the right choice.
PricingBuild pricing A/B tests that produce defensible conclusions. Covers hypothesis framing, metric selection, sample sizing, runtime control, and common design failures that invalidate results.
PricingA structured backlog of pricing page experiments ranked by expected impact, implementation complexity, and evidence strength. Covers plan presentation, comparison tables, CTA copy, social proof, FAQ placement, and guarantee design.
PricingCalculate the sample size required to detect pricing test effects with statistical confidence. Covers power analysis fundamentals, the effect of baseline conversion rate on required sample, runtime estimation, and the cost of underpowered tests.