We’ve quantified & baselined demand performance of artist and portfolios (artist aggregate) levels, taking existing inventory and crafting a dynamic strategy to find best listeners and audience to increase monetization/value.
We’ve created networked data models to organize and catalog our content.
We’ve created forecasting & predictive tools, audience segmentation vis a vis sound information, data ingestion, data pipelines, and UI/UX to serve and illustrate meaning in data.
Audiences experience songs uniquely, making digital listening monetization more complex than traditional sales, but by analyzing granular data, we can effectively parse and leverage each segment’s affinity for specific sounds to maximize revenue.
By analyzing sound similarity and data correlations, leveraging predictive playlisting, and utilizing social media as both a predictor and correlate, we unlock the potential of your music as information to shape future trends and demand.
By identifying high affinity between specific sounds and audiences, our models understand who people are and pinpoint which parts of songs captivate them.
Releasing your art & relying on traditional marketing is driving blind. GDA puts your content in flight.
Design, tune, and curate content which resonates with listeners and viewers where and when they are most receptive.
Discover lucrative opportunities in a catalog to be used for collaborations, playlists & scaled content generation
