Industry Planted: Investigation into the Promotion of Local Music Events using Content-Based Streaming Data

This thesis explores strategies to enhance visibility and engagement within local music ecosystems using a data-driven approach that leverages streaming platform data. It employs a two-pronged approach, consisting of a Proof of Concept (PoC) and a Business Model Canvas (BMC). The PoC involves the development and refinement of two novel machine learning-based music recommendation algorithms, specifically tailored for local stakeholders in the Valley Metro area. Empirical testing of these algorithms has shown a significant potential increase in visibility and engagement for local music events. Utilizing these results, the study proposes informed revisions to the existing streaming BMC, aiming to better support local music ecosystems through strategic enhancements derived from the validated PoC findings.