UNDERSCORES
Music Analytics / Live Touring Viability
Purpose: The purpose of this page is to help independent music managers, promoters, and industry analysts research and glean actionable insights into tour routing, audience demand, and live show optimization. Using the alt-pop/hyperpop artist underscores as a case study, this guide demonstrates how a motivated consumer can analyze cross-platform streaming data, crowdsourced setlists, and historical box office metrics to turn digital momentum into unforgettable, sold-out physical shows.
Identifying the Demand with Chartmetric
First, we look at the streaming velocity.
Data Insights & Consumer Goals: Chartmetric aggregates real-time audience metrics across major discovery channels—including Spotify, Instagram, TikTok, YouTube, and SoundCloud. A manager or booking agent analyzes this cross-platform follower spread to evaluate audience conversion efficiency: how effectively viral momentum on short-form discovery platforms (like TikTok) translates into sustained listener loyalty on streaming services (like Spotify) and personal community engagement (like Instagram). By comparing growth ratios across platforms rather than looking at isolated numbers, a researcher can determine whether an artist has fleeting, passive internet hype or an active, dedicated core fan base willing to buy tickets and merch.
Looking at the highlighted follower distribution, we observe that underscores maintains a high ratio of Instagram and Spotify followers relative to passive TikTok listeners. This metric indicates an engaged, high-conversion fan base rather than temporary algorithmic traction. Because these followers represent dedicated community members who actively track tour announcements, an analyst can confidently project that digital interest will translate directly into physical box office demand.
Scaling the Venue with Pollstar
Next, we cross-reference this demand with physical footprint data.
Pollstar tracks live event density and box office reporting over time. Because the free tier restricts exact ticket prices, an analyst uses the primary timeline chart to visualize touring cycles and routing density. By observing the peaks and valleys on the timeline, a consumer can identify exactly when an artist hits the road for concentrated, high-volume touring stints versus when they are in an off-cycle or studio phase. This allows a booking agent to predict artist fatigue and determine the most cost-effective chronological windows to add new regional dates.
Ensuring Fan Satisfaction with
Setlist.fm
Finally, we refer to the most recent show to identify the setlist.
Looking at the highlighted Setlist.fm data from their most recent show at the RC Cola Plant in Miami on September 4, 2026, we can see exactly how underscores is currently structuring their live finale. Rather than relying solely on older album tracks to close the night, the data shows they are pivoting to high-energy unpredictability—opening the encore with a cover ("1-800-FUCKOFF" by kimj) before closing the entire night out with "Music." The data proves this combination successfully retains the crowd through the end of the set, capitalizing on the demand we identified back in Step 1.
