Objective:
Formulate a reliable growth marketing strategy for independent artists to effectively gain exposure and create an engaged fanbase online by leveraging targeted advertising and machine learning.
Honors Thesis Defense, Arizona State University
By Max Fees, Cole Kinerk, Angela Patrick
Thesis Director: Professor Mark Hass
Second Reader: Brad Patrick
This thesis demonstrates that independent artists can leverage targeted advertising and machine learning to create effective growth marketing strategies. By embracing authenticity, simplicity, and bold first impressions in content creation, artists can optimize their campaigns and connect with their target audiences on platforms like Facebook and Instagram.