using data to make successful syncs

introduction: what is this project about?

this project is focused to analyze the relationship between specific music genres and genres of TV shows, identifying the most commonly used songs in sync licensing. from this, creating a dashboard to help sync licensing coordinators/music supervisors to help provide insights into what specific genres of music works in specific TV shows.

research question: what specific genres of music fits with specific genres of TV shows and what are the most used songs when it comes to sync in TV shows?

why this is important

market trends

• identifying trends in music usage can guide artists and labels in their marketing strategies and sync licensing opportunities

artist success

• gives artists the opportunity to successfully use their music

who does this impact and how?

increases exposure for artists

• can help artists and music libraries gain visiblity, especially independent and emerging artists who may struggle to secure sync deals

data-driven insights for sync licensing

• provide sync licensing professionals with insights into genre and trends, helping them make strategic decisions

efficient matching for music supervisors

• music supervisors can rely on data-backed recommendations to project-specific needs, increasing efficiency in the sync licensing process

my current progress and challenges

initially, my project focus was on TV shows and movies, however, i thought it was best to focus this project on just TV shows for the time being. a big challenge that i had was figuring out a way to pull all that data and exactly where i could find it. i realized TV show data was a lot more prominent and easier to access, so i decided to focus on that.