Overview
Most price testing fails because teams change prices without proper experimental design, cannot isolate the price effect from other variables, or declare winners before reaching statistical significance.
The Price Testing Framework designs controlled pricing experiments with proper randomization, sample size calculation, and statistical analysis — so teams can confidently find optimal price points without risking significant revenue loss during testing.
What you get: - Experiment design with control/treatment groups and randomization - Sample size calculation for desired statistical power - Guardrail metrics and early stopping rules - Segment analysis methodology - Statistical significance testing - Revenue impact projection and risk mitigation
Built for: pricing teams, growth teams, and data analysts who need to test price changes rigorously — not guess based on intuition or incomplete data.