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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.  
Elsevier BV
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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