Measuring success in streaming platforms Gonçalves-Dosantos, Juan Carlos Martínez Rico, Ricardo Sánchez Soriano, Joaquín Measure Relevance Proportionality Streaming Axiom Digital streaming platforms , including Twitch, Spotify, Netflix, Disney+, and Kindle, have emerged as major sources of entertainment with significant growth potential. Many of these platforms distribute royalties among streamers, artists, producers, or writers based on their impact. In this paper, we measure the relevance of each of these contributors to the overall success of the platform, which can play a key role in revenue allocation. We perform an axiomatic analysis to provide normative foundations for four relevance metrics: the uniform, the subscriber-uniform, the proportional, and the subscriber-proportional indicators. The last two indicators implement the so-called pro-rata and user-centric models, which are extensively applied to distribute revenues in the music streaming market. The axioms we propose formalize different principles of fairness, stability, and non-manipulability, and are tailor-made for the streaming context. We complete our analysis with a case study that measures the influence of the 19 most-followed streamers worldwide on the Twitch platform. 2025-07-18T08:30:30Z 2025-07-18T08:30:30Z 2025-02-27 journal article Gonçalves-Dosantos, J. C., Martínez, R., & Sánchez-Soriano, J. (2025a). Measuring success in streaming platforms. Journal of Economic Behavior & Organization, 232(106941), 106941. https://doi.org/10.1016/j.jebo.2025.106941 https://hdl.handle.net/10481/105424 10.1016/j.jebo.2025.106941 eng http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Attribution-NonCommercial-NoDerivatives 4.0 Internacional Elsevier