Policy-relevant treatment effect estimation in a marketplace setting requires assessing both the direct treatment benefit and spillovers induced by changes to the market equilibrium. We show how to identify and estimate policy-relevant treatment effects using a unit-randomized trial run within a single large market. A Bernoulli-randomized trial allows consistent estimation of direct effects and of treatment-heterogeneity measures that enable welfare-improving targeting. Estimating spillovers—and providing confidence intervals for the direct effect—requires estimates of price elasticities, which we provide using an augmented experimental design. We illustrate our results using a simulation calibrated to a conditional cash-transfer experiment in the Philippines.