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Hit the GAS: designing optimal generalized ad-supported subscription mechanisms

Dominik Gutt, Sameer Mehta and Martin Quinn ()
Additional contact information
Dominik Gutt: School of Business and Economics, RWTH Aachen University
Sameer Mehta: Erasmus University Rotterdam
Martin Quinn: IMT-BS - MMS - Département Management, Marketing et Stratégie - TEM - Télécom Ecole de Management - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris], LITEM - Laboratoire en Innovation, Technologies, Economie et Management (EA 7363) - UEVE - Université d'Évry-Val-d'Essonne - Université Paris-Saclay - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris]

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Abstract: Digital content platforms such as Netflix, Spotify, and YouTube increasingly fund content through a mix of subscription fees and advertising. Most of these platforms offer users only coarse options: a single ad-supported tier, a single paid tier, or a two-tier "free-with-ads versus paid-ad-free" menu. We ask how platforms should jointly deploy these two revenue levers. The answer has implications for managers, consumers, and regulators. We introduce the generalized ad-supported subscription (GAS) mechanism: a menu offering users a continuum of ad intensity and subscription fee combinations that nests today's ad-only, subscription-only, and two-tier models as special cases and that is implementable in practice via a simple slider or a short finite menu. Although GAS is revenue-optimal within this broad class, we find the familiar two-tier menu is often near optimal. We pinpoint the conditions under which GAS's added flexibility yields a material revenue gain. We calibrate the model to a video-on-demand setting through an incentive-compatible willingness-to-pay survey and find that GAS raises platform revenue by 148%, 20%, and 1.8% over the ad-only, subscription-only, and two-tier models, respectively. We further show how emerging regulation that caps advertising intensity (e.g., the EU Digital Services Act and Digital Fairness Act) and competitive pressure reshape the optimal menu. Both forces can shrink coverage of low-value users and push platforms toward less ad-intensive offerings. Finally, we distill our findings into a practical guide for when platforms should adopt each mechanism.

Keywords: Advertising; Subscription; Digital content platforms; Revenue model; Mechanism design (search for similar items in EconPapers)
Date: 2026-08-19
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Published in Information Systems Research, inPress, ⟨10.1287/isre.2025.2329⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05789438

DOI: 10.1287/isre.2025.2329

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Handle: RePEc:hal:journl:hal-05789438