Labs Hyperlaunch
Menu
Data-Driven Music Catalog Valuation

Sparkline

Valuing Music Catalogs in the Era of Music Rights Investments

The rise in streaming has transformed music catalogs into valuable assets, with funds increasingly seeking to invest in music rights for their potential to generate steady revenue streams. However, accurately valuing these assets before acquisition is challenging due to limited data access from platforms like Spotify. Sparkline was developed to meet this need, offering funds and investors deeper insights into streaming data to make more informed decisions.

Screenshots of a Sparkline artist profile

The Growing Market for Music Rights

Music rights are becoming a popular asset class, with funds acquiring music catalogs to capitalize on recurring revenue from streaming. Assessing the potential value of these catalogs requires more than just historical earnings; it demands predicting future trends and performance. Sparkline is designed to provide precisely these insights.

What Sparkline Offers

Sparkline delves deeper into Spotify’s data, uncovering insights not typically available through the platform. Through our reverse engineering efforts, Sparkline gathers detailed metrics such as stream counts, follower growth, monthly listeners, and popularity trends—essential data points that help investors assess the long-term value of music catalogs.

Key Features for Investors

Sparkline provides several key metrics for evaluating music rights investments:

This data is presented on a comprehensive, user-friendly dashboard, allowing for quick insights and deeper analysis. It helps funds identify not only established hits but also emerging tracks and artists that could represent undervalued investments.

How Sparkline Works

Sparkline is available by request, tailored specifically for investors and industry professionals. Once access is granted, users can connect their Spotify accounts and start tracking the artists they are interested in. By focusing only on the artists that users choose to follow, Sparkline remains efficient and cost-effective, targeting the most relevant data.

Real-World Impact

Funds like Blackstone have used Sparkline to forecast future revenue streams using various statistical models, such as Monte Carlo simulations and Bayesian analysis. This approach allows Sparkline to offer a unique perspective on Spotify’s data, providing crucial insights for strategic investment decisions in the music industry.

Request Access

While Sparkline isn’t available to the general public, interested parties can request access. By focusing on specific, actionable data, Sparkline fills a crucial gap in the market, enabling investors and funds to make better-informed decisions about music rights acquisitions.

Just build it
Hyperlaunch, 189 Bowery, New York