Facebook Killed the Radio Star: How Targeted Advertising and Machine Learning are Remixing Music Discovery

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Description
The purpose of this thesis is to formulate a reliable promotion strategy that will help future independent artists effectively gain exposure and create an engaged and enthusiastic audience. To do this, we set out to create moments of discovery -

The purpose of this thesis is to formulate a reliable promotion strategy that will help future independent artists effectively gain exposure and create an engaged and enthusiastic audience. To do this, we set out to create moments of discovery - the moment when a listener decides they have a particular affinity for an artist or song - by introducing Apollo Bravo to audiences that are most likely to enjoy what Apollo Bravo has to offer. The methodology underlying these campaigns was to present authentic and attention-grabbing content, in both brief and extended methods, to people who are most likely to enjoy Apollo Bravo.

From our research, we found that for as little as $5 a day, an independent artist can make effective introductions to audiences most likely to enjoy what they have to offer without compromising artistic expression, while also learning from and engaging with their growing audience.
Date Created
2020-12
Agent

Facebook Killed the Radio Star: How Targeted Advertising and Machine Learning are Remixing the Music Industry

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Description
Our thesis dives deeper into the rise of machine learning and how digital advertising can find target audiences to share independent artists music in a more efficient way. Our goal is to show how effective these tactics are for independent artists looking to start their career in the music industry.
Date Created
2020-12
Agent