Sponsored Data: Smarter Data Pricing with Incomplete Information
Posted: 27 Jan 2020
Date Written: January 2, 2020
As the amount of online content explodes, mobile network operators (MNOs) are investigating new business models that encourage content providers (CPs) to sponsor data for consumers. We analyze this recent phenomenon using an incomplete information game-theoretical model, where the MNO does not observe consumers’ types (personal valuation of mobile data), and provides multiple data plans to consumers. We find that the impact of sponsored data on consumer surplus crucially depends on whether the MNO has complete information over consumer types: Under complete information, sponsored data does not improve consumer surplus. However, under incomplete information, sponsored data increases consumer surplus. Our analysis also shows that under incomplete information, the MNO should allow sponsored data in a wider range of market conditions than those under complete information. Our study finds that prior literature tends to underestimate both the long-run detrimental effect of sponsored data on content diversity and the short-run beneficial effect on consumer surplus. Our findings have important managerial implications for the MNO who is interested in optimizing the data plans and for policymakers who regulate the wireless internet market.
Keywords: Sponsored Data, Wireless Internet, Game Theory, Incomplete Information, Consumer Surplus
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