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Selling Advantages: Externality-Based Upgrades for Digital Goods under Income Effects
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Many digital products, such as video games or social media, have a social component that allows firms to sell paid upgrades whose value derives from giving buyers an advantage over other users. While such externality-based upgrades are often inexpensive to design, they impose negative externalities on the remaining users and degrade their experience. We analytically study the trade-off between externality-based and externality-free upgrade features in the design of digital goods when users are vertically differentiated by income effects. We show that the classical result that offering a single, externality-free version is optimal does not extend to settings with nonlinear income effects. Moreover, even when user costs are linear, it can be optimal to offer upgrades consisting of externality-based features. However, if such features are offered, optimal versioning also requires offering a version that includes all externality-free features and no externality-based features, as well as a low-quality free base version to mitigate negative externalities. Our results provide guidance for the design of digital goods in markets where user interactions or income effects are present.
Title: Selling Advantages: Externality-Based Upgrades for Digital Goods under Income Effects
Description:
Many digital products, such as video games or social media, have a social component that allows firms to sell paid upgrades whose value derives from giving buyers an advantage over other users.
While such externality-based upgrades are often inexpensive to design, they impose negative externalities on the remaining users and degrade their experience.
We analytically study the trade-off between externality-based and externality-free upgrade features in the design of digital goods when users are vertically differentiated by income effects.
We show that the classical result that offering a single, externality-free version is optimal does not extend to settings with nonlinear income effects.
Moreover, even when user costs are linear, it can be optimal to offer upgrades consisting of externality-based features.
However, if such features are offered, optimal versioning also requires offering a version that includes all externality-free features and no externality-based features, as well as a low-quality free base version to mitigate negative externalities.
Our results provide guidance for the design of digital goods in markets where user interactions or income effects are present.
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