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How & Why To Use Audience Segmentation to Maximize (Listener) Demand Across Digital Music Portfolio

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  • Kobi Abayomi

Abstract

Digital delivery of songs has radically changed the way people can enjoy music, the sort of music available for listening, and the manner by which rights holders are compensated for their contributions to songs. Listeners enjoy an unlimited potpourri of sounds, uniquely free of incremental acquisition or switching costs which have been replaced by subscription or rentier fees. This regime shift has revealed listening patterns governed by affinity, boredom, attention budget, etc.: instantaneous, dynamic, organic or programmatic song selection. This regime shift in demand availability -- with the commensurate translation of revenue implications -- deprecates current orthodoxy for content curation. The impulse to point-of-sale model is insufficient in a regime where demand revenue is proportional to demand affinity and each are strongly dependent time series processes. We explore strategies & implications -- which are generalizable to any media rights holding firm -- from a prediction & optimization point of view for two straightforward demand models.

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  • Kobi Abayomi, 2024. "How & Why To Use Audience Segmentation to Maximize (Listener) Demand Across Digital Music Portfolio," Papers 2406.09226, arXiv.org.
    • Handle: RePEc:arx:papers:2406.09226
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    1. Cristian Candia & C. Jara-Figueroa & Carlos Rodriguez-Sickert & Albert-László Barabási & César A. Hidalgo, 2019. "The universal decay of collective memory and attention," Nature Human Behaviour, Nature, vol. 3(1), pages 82-91, January.
    2. Marc Ivaldi & Ambre Nicolle & Frank Verboven & Jiekai Zhang, 2024. "Displacement and complementarity in the recorded music industry: evidence from France," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 48(1), pages 43-94, March.
    3. Andrea Ordanini & Joseph C. Nunes & Anastasia Nanni, 2018. "The featuring phenomenon in music: how combining artists of different genres increases a song’s popularity," Marketing Letters, Springer, vol. 29(4), pages 485-499, December.
    4. Gary Koop & Simon M. Potter, 2009. "Prior Elicitation In Multiple Change-Point Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(3), pages 751-772, August.
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