Transform scattered music industry data into profitable strategies for venue scaling, tour optimization, and artist development. We combine data science with deep music industry expertise to solve your most expensive decisions.
We're not just data scientists, and we're not just music industry veterans. We're both. Our team combines proven Silicon Valley methodologies with decades of experience in artist development, venue operations, and tour management.
Every insight we deliver is rooted in real-world music industry knowledge, validated by rigorous data analysis, and designed to drive measurable business outcomes.
Streaming, ticketing, social media, and survey data
Machine learning models for revenue forecasting
Correlation, A/B testing, and validation
Dashboards, reports, and custom tools
Transform scattered music industry data into profitable venue scaling decisions using proven Silicon Valley methodologies.
Machine learning models that predict concert revenue from artist metrics across Spotify, YouTube, and social platforms. Analyze 800+ variables to determine optimal venue sizes and minimize financial risk on scaling decisions.
Identify optimal marketing surge timing and budget allocation across channels. Use correlation analysis and time series tracking to maximize venue fill rates while minimizing ad spend waste. Create replicable frameworks for every tour.
K-means clustering and survey analysis to identify distinct audience segments. Design targeted campaigns by behavior, demographics, and preferences. Secure sponsorships and grants with data-backed audience insights.
Automated gap analysis and venue discovery tools that identify $800-900 revenue opportunities per show. Transform tour planning from days to hours with geospatial analysis and API integrations to Ticketmaster, Setlist.fm, and mapping services.
Unified dashboards connecting ticketing, streaming, social media, ad spend, and email campaign data. Automated reporting systems that track 5+ data sources in real-time with export-ready insights for team collaboration.
Rigorous data science methods applied to music industry challenges
"[VibeQuant] took an extremely detailed look at raw and unorganized data and was able to sort it and explain it in a way that was very simple and helpful to my team. They extracted trends that nobody else in my industry had previously pointed out or correlated to direct sales."
"Meredith went beyond my expectations and built a tool that has already saved me headache managing complex tours, and has freed up space for me to think about tour planning more strategically."
Ready to make data-driven decisions for your roster, venue, or music career? Let's discuss your scaling opportunities.