Full metadata
Title
Facebook Killed the Radio Star: How Targeted Advertising and Machine Learning are Remixing Music Discovery
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 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.
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
Contributors
- Fees, Maximilian Soza (Co-author)
- Kinerk, Cole (Co-author)
- Patrick, Angela (Co-author)
- Hass, Mark (Thesis director)
- Patrick, Brad (Committee member)
- Arts, Media and Engineering Sch T (Contributor)
- School of Civic & Economic Thought and Leadership (Contributor)
- Barrett, The Honors College (Contributor)
Topical Subject
Resource Type
Extent
50 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Series
Academic Year 2020-2021
Handle
https://hdl.handle.net/2286/R.I.62588
Level of coding
minimal
Cataloging Standards
System Created
- 2020-12-01 11:11:36
System Modified
- 2021-08-11 04:09:57
- 3 years 3 months ago
Additional Formats