Bayesian Pricing, Frequentist Volume Control: A Dual Epistemology Framework for Hotel Revenue Management

Abstract This study challenges the foundational assumption in hotel revenue management that pricing and occupancy represent parallel managerial levers subject to similar optimization approaches. Using thirty-five years (1990–2024) of U.S. hotel performance data encompassing 38,695 properties, we demonstrate through structural equation modeling that pricing and occupancy follow fundamentally different epistemological processes. Pricing exhibits perfect Bayesian structure (β = 1.00, error variance 0.02), where revenue managers discover equilibrium rates determined by macroeconomic purchasing power beyond their control. Conversely, occupancy follows frequentist logic with 99% controllable variance (error variance 144.08), where managers create outcomes through cultural programming interventions operating independently of economic cycles. This 33,000-fold controllability asymmetry suggests the profession systematically misallocates resources: managers spend 90% of effort optimizing pricing (controlling only 0.003% of variance) while neglecting occupancy cultivation (offering 99% controllable variance). Strategic complementarities generate 2.5× amplification effects when coordinating Bayesian rate-setting with frequentist volume cultivation. Properties implementing our three-phase framework—accepting Bayesian pricing optimality, launching frequentist experiments, scaling successful interventions—achieve 8–12% RevPAR gains within twenty-four months. These findings provide actionable resource reallocation guidance transforming revenue management from forecasting-dominant toward experience-creation competency.