Music Marketing with Generative AI

20.08.2025 12:00 – 13:00

MANAGEMENT BROWN BAG SEMINAR

ABSTRACT

The multibillion-dollar music industry faces severe content creation bottlenecks due to music oversupply, making multimedia marketing assets prohibitively expensive for smaller or legacy artists. This research proposes a marketing asset generation engine (MAGE) that can produce over 700 million video ad variations reflecting each artist's visual identity using only a music track's audio and album cover. Three field studies and one lab study validate MAGE's effectiveness. In collaboration with one of the world’s largest music labels, MAGE generated video ads that garnered more than 11 million impressions across 72 campaigns for 33 real music tracks on TikTok and Meta. Study 1 shows MAGE achieves 17% higher average click-through rates than human-designed ads while reducing costs by 98%. Study 2 reveals random sampling of MAGE’s outputs performs as well as human “best” selections. Study 3 establishes that an AI selection system can predict which MAGE-generated ads will perform best for specific audience segments before campaign launch, enabling automated content personalization. A controlled lab experiment identifies the psychological mechanism: MAGE-generated ads drive higher engagement, increasing viewers' click intentions. In combination, these studies demonstrate how AI can transform music marketing by making effective, personalized video ads accessible at scale.

Lieu

Bâtiment: Uni Mail

Boulevard du Pont-d'Arve 40
1205 Geneva

Room M 3250, 3rd floor

entrée libre