How & Why To Use Audience Segmentation to Maximize (Listener) Demand Across Digital Music Portfolio
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arXiv
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866917692969058304 |
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| author | Abayomi, Kobi |
| author_facet | Abayomi, Kobi |
| contents | 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enjoy an unlimited potpourri of sounds, uniquely free of incremental acquisition or switching costs which have been replaced by subscription or rentier fees.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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_09226 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | How & Why To Use Audience Segmentation to Maximize (Listener) Demand Across Digital Music Portfolio Abayomi, Kobi General Economics Economics Applications 62M20 G.3 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enjoy an unlimited potpourri of sounds, uniquely free of incremental acquisition or switching costs which have been replaced by subscription or rentier fees.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. |
| title | How & Why To Use Audience Segmentation to Maximize (Listener) Demand Across Digital Music Portfolio |
| topic | General Economics Economics Applications 62M20 G.3 |
| url | https://arxiv.org/abs/2406.09226 |