Monetizing digital content with network effects : a mechanism-design approach

We design the profit-maximizing mechanism to sell an excludable and nonrival good with network effects. Buyers have heterogeneous private values that depend on how many others also consume the good. In optimum, an endogenous number of the highest types shares consumption, and we provide an algorithm that implements this allocation in dominant strategies. We apply our insights to digital content creation, and we are able to rationalize features seen in monetization schemes in this industry such as voluntary contributions, community subsidies, and exclusivity bids.