How to Use Soundcharts for A&R Scouting

January 9, 2026

Last updated: September 20, 2026

Key Takeaways

Soundcharts aggregates real-time data across millions of artists and songs to help A&R teams track streaming, radio, playlists, and social signals.
The six-stage workflow of discovery, noise reduction, momentum validation, benchmarking, monitoring, and human judgment guides scouts from broad discovery to shortlist decisions.
Blocklists, watchlists, and similar-artist benchmarking reduce noise and surface unsigned talent, while quarterly reviews keep blind spots in check.
Cross-platform momentum signals such as Spotify monthly listeners, TikTok usage, Shazam entries, and playlist reach work best when scouts read them together.
OnesToWatch complements Soundcharts with human-curated editorial coverage and the annual Top 30 Artists To Watch list that data alone cannot provide.

Explore the Full Top 30 Artists To Watch in 2026

Soundcharts at a Glance

Soundcharts tracks how attention moves across platforms so scouts can see momentum in one place. The platform's data engine aggregates real-time information across more than 16 million artists, 84 million songs, 24,000 charts, 7.3 million playlists, and 2,465 radio stations, processing over 200 million data points a day. Streaming, playlists, radio airplay, charts, and social signals appear across Spotify, Apple Music, YouTube, TikTok, Instagram, SoundCloud, Deezer, Tidal, and others. Radio data refreshes in real time, and streaming and social data update daily. For plan mechanics, Soundcharts' own developer documentation provides the authoritative reference.

Stage 1: Discovery — Building Custom Charts That Surface Rising Artists

Discovery starts with a custom Soundcharts chart that casts a wide net, then narrows it. Start with genre and country to see the full competitive set. Add platform and growth filters to shrink that field to a focused list.

A scout searching for emerging UK drill artists might set genre = hip-hop/rap, country = United Kingdom, platform = Spotify, sorted by monthly listener growth over the past 30 days. From there, Soundcharts' Get Artists endpoint supports filtering by career stage with values of superstar, mainstream, mid_level, and long_tail. That filter removes established acts and highlights genuinely emerging talent.

The human check at this stage focuses on one question: is the artist actually unsigned. Soundcharts displays label affiliation data where available and categorizes labels as major, indie, or self-released, with remaining labels tagged "unknown." It does not claim to be a definitive source for signing status. Soundcharts grants no warranty regarding the accuracy of the information and data provided, and distributor data is labeled Beta and may contain inaccuracies. Cross-reference independently before pursuing any artist.

Stage 2: Noise Reduction — Using Soundcharts Blocklists for A&R Scouting

Blocklists help scouts hide specific artists, labels, or charting heavyweights from discovery views so unsigned acts stand out. The core use case is simple: block signed acts and major-label rosters so discovery filters highlight the unsigned tier.

Blocklists also carry a risk. Hiding known acts can hide the independent label that is about to sign the artist a scout wants. If a blocklist excludes all major-label artists, it may also suppress an artist who just signed, and that transition signal matters. Viral moments are measured in days, with an artist able to go from unknown to trending to old news in two weeks. A blocklist that creates blind spots can erase that window.

The practical rule is to use blocklists to reduce noise while preserving context. Treat the blocklist as a snapshot of label status at one moment. Review the blocklist quarterly so it reflects current reality. An artist blocked six months ago may now be unsigned again or may have moved to a different label.

Stage 3: Momentum Validation — Reading Cross-Platform Signals Together

Momentum validation depends on a cluster of signals rather than a single metric. The signals that matter at this stage, read together, include:

Spotify monthly listeners: Soundcharts updates the global Spotify monthly listeners statistic each day, using a 28 rolling-day window rather than calendar months.
Apple Music chart position: Look for entries on genre or territory charts.
YouTube view velocity: Compare views per day over the past week with the prior week.
Shazam chart entries: Indicates passive discovery converting to active search.
TikTok sound usage: Soundcharts tracks TikTok video counts at the song level, which allows video count growth tracking over time.
Playlist additions: Track editorial and algorithmic playlist adds. Soundcharts defines playlist reach as the combined follower total of all playlists currently featuring a song or artist.
Radio adoption: Check airplay spins across monitored stations.

Reading these signals together is the key discipline. A streams-per-listener ratio above 3–4 indicates engaged fans, while below 2 suggests passive playlist listeners. A spike in TikTok sound usage without a corresponding rise in Spotify monthly listeners suggests viral attention that does not convert to streaming. A rise in Shazam entries alongside playlist additions suggests genuine discovery momentum. Look for correlated growth across at least three signals before advancing an artist.

The human check focuses on the catalog. A one-week stream spike shows that a moment landed but does not prove an artist can build on it, sustain an audience, or develop into a career artist. A viral moment can rest on a single track that does not represent the artist's broader work.

Stage 4: Benchmarking — Testing Whether an Artist Is Outpacing Peers

Soundcharts provides a dedicated Get Similar Artists endpoint that supports peer benchmarking directly within the scouting workflow. The goal at this stage is to judge relative performance against comparable artists in the same niche or region, not just absolute numbers.

50,000 monthly listeners with a 6:1 stream ratio in an underserved genre gets more attention than 500,000 with a 2:1 ratio in an oversaturated one. An indie-folk artist with 50,000 monthly Spotify listeners and a 6:1 stream-to-listener ratio is outpacing peers who average 30,000 listeners and a 3:1 ratio. That relative outperformance, rather than the absolute number, makes the benchmark meaningful.

The human check confirms that the similar artists Soundcharts surfaces are genuinely comparable. Genre tags can be broad. An artist tagged "indie" may share little with another "indie" artist in audience, live draw, or career trajectory. Vendor-stated coverage lists describe what a platform can track, not necessarily what it tracks for every territory or chart source at the same refresh rate. Apply that same skepticism to genre-tag comparisons.

Stage 5: Monitoring — Setting Up Soundcharts Watchlists for Unsigned Artists

Once an artist passes the momentum and benchmarking screens, they move to a watchlist. Soundcharts watchlists and alerts allow scouts to track monthly listener growth, playlist additions, radio spins, and social follower changes without manual daily checks.

Alert fatigue can overwhelm a team if thresholds sit too low. Setting thresholds that matter, such as 20% growth in monthly listeners over seven days, filters out routine fluctuation and flags only significant changes. High follower counts with low engagement are a red flag for purchased audiences. Sharp drops after playlist removal are a red flag for monthly listeners. Threshold-based alerts can surface both patterns automatically.

A watchlist functions as a holding pen rather than a guaranteed pipeline. Re-evaluate artists monthly. If an artist has remained on the watchlist for six months without meaningful growth, remove them. Repeat listener rate, the percentage of this month's listeners who returned from last month, measures whether an audience is forming or just passing through. That metric offers a more durable signal than any single-week spike.

See Which Unsigned Artists Made OnesToWatch's 2026 Watchlist

Stage 6: The Human Layer — What Soundcharts Cannot Tell You About an Artist

Data narrows the field, but the final call remains a human judgment. The signals Soundcharts surfaces, such as streaming velocity, playlist adds, radio spins, and social growth, measure attention. They do not measure the qualities that decide whether a signing conversation is worth having.

A performer on stage seen from behind facing a large concert crowd. — *The view from the stage: the moment an artist and a sold-out crowd meet is the clearest signal of talent on the rise.*

Soundcharts cannot measure several critical factors:

Songwriting quality: Data shows consumption, not craft. Playlist streams are passive. Fan streams are intentional. One builds a career; the other flatters an ego. A song can go viral without being well-written.
Live performance: A 5-million-monthly-listener artist on Spotify can pull only 200 paid tickets in a given city. Streaming numbers do not predict ticket sales.
Artistic vision: Fast signals such as monthly listeners, follower counts, and viral video views are the most susceptible to artificial inflation and the least predictive of an artist's career outlook three years out.
Team fit: Data cannot show whether an artist will work well with a label, a team, or a development process. Deal breakers often include an artist perceived as difficult to work with and no internal champion willing to put their reputation behind the signing.
Fan emotional connection: Saves are a more meaningful metric than streams, because a higher save rate indicates listeners are forming a genuine connection with the music. High stream counts can reflect passive playlist listening.

The decision framework before any signing conversation adds three layers of human verification:

A live music venue crowd facing a brightly lit stage. — *Live is where genuine fandom begins — a room full of strangers turning into a crowd for an act they'll be telling friends about tomorrow.*

Verify in person: Attend a live show. Assess stage presence, audience engagement, and whether the artist can hold a room. For most working musicians, live performance generates more income than streaming. A label that cannot tour an act has limited commercial runway.
Verify in writing: Review the artist's creative process, goals, and willingness to develop. Ask about their writing routine, their influences, and their vision for the next two releases.
Verify in a live setting: Meet the artist and their team. Confirm whether there is genuine fit commercially, creatively, and personally so the partnership can sustain pressure.

This is where OnesToWatch functions as a trusted editorial complement to the data workflow. When Soundcharts surfaces an artist worth pursuing, OnesToWatch's human-curated editorial coverage, including playlists, artist features, and yearly selections such as the 2026 Top 30 Artists To Watch, provides contextual validation that data cannot deliver. OnesToWatch covers around 300 artists per year through features, with only the most compelling making the annual selection, which turns its editorial signal into a meaningful quality filter at the decision stage.

A wide shot of a live show, stage and audience together. — *Discovery still happens in the crowd as much as on the feed — the show where you catch a new favorite before everyone else does.*

Scaling the Workflow — Solo Scouts, Small Teams, and Label Dashboards

The six-stage workflow adapts to different team sizes and data setups so each scout can work at the right level of complexity.

Solo scout: Uses the Soundcharts dashboard for discovery and monitoring. Relies on manual review and personal judgment. API access is not necessary. Soundcharts CEO David Weiszfeld describes the dashboard as designed for the workflows you repeat.
Two-person A&R team: Splits stages so one person handles discovery and momentum validation, while the other handles benchmarking and watchlist monitoring. Uses shared dashboards and scheduled reports.
Label with internal data dashboard: Some clients have built entire products and experiences on top of Soundcharts' data engine. These teams integrate the API into internal systems for automated reporting and roster tracking. The API supports building tools and views while leaving judgment with humans.

For current plan tiers and pricing, refer to Soundcharts' pricing page directly. Published tiers as of May 2026 include For Artists at $10/month, 10 Artists at $49/month, PRO at $129/month, API from $250/month, and Data Shares from $500/month, though these are subject to change.

When to Use Chartmetric Instead — A Stage-Specific Tool Choice

The six-stage workflow assumes Soundcharts can support every stage, but some stages benefit from other tools. The Soundcharts versus Chartmetric decision depends on workflow stage rather than raw feature counts. Chartmetric leans discovery and A&R, while Soundcharts leans monitoring and team reporting.

Chartmetric: Works well for discovery-stage filtering by genre, territory, and growth rate. Chartmetric is the most broadly adopted AI A&R tool across all three major labels and most large independents. Use it when deep playlist intelligence and curator tracking sit at the top of the priority list.
Songstats: Useful as a verification layer to confirm that a flagged anomaly is not a data artifact and integrates with distributor APIs including DistroKid and Stem.
Soundcharts: Acquired by BMG in 2023, Soundcharts pulls deeper international radio and chart data than Chartmetric, especially in France, Germany, and Japan. It works best for monitoring-stage workflows, multi-territory radio tracking, and team reporting.

Some enterprise label teams run Chartmetric for discovery and A&R and Soundcharts for roster monitoring and reporting in parallel. No tool replaces the final judgment. Use Chartmetric for discovery, Soundcharts for monitoring, and your own ears for the decision.

Frequently Asked Questions About Soundcharts Workflows

How Often Does Soundcharts Update Its Data?

Soundcharts updates radio data in real time and streaming and social data daily. Spotify monthly listeners update each day using a 28-day rolling window, because listener behavior depends more on days of the week than calendar dates. Some data points may be missing for a day or two, and Soundcharts interpolates missing values in its UI, estimating the missing data points between two known values. Social audience data refreshes on a cadence that scales with an artist's follower count on each platform, ranging from every 15 days for very small accounts to every 2 days for accounts with more than 5,000 followers.

Can Soundcharts Confirm Whether an Artist Is Unsigned?

Soundcharts displays label affiliation data where available and categorizes labels as major, indie, or self-released, with remaining labels tagged "unknown." Distributor data is labeled Beta and may contain inaccuracies. Always verify independently through a direct search, manager contact, or distributor data before pursuing an artist. An artist who appears unsigned in Soundcharts may have recently signed a deal that has not yet propagated through the platform's data sources.

How Should I Handle Blocklists Without Creating Blind Spots?

Blocklists hide known acts to reduce noise in discovery views, yet they can also hide the independent label that is about to sign the artist a scout wants. If a blocklist excludes all major-label artists, it may suppress an artist who just signed in a market where deal timelines can compress to 7–14 days. Use blocklists to reduce noise while preserving context, and review the list quarterly so label-status changes do not turn into blind spots.

How Should I Combine Data With Human Judgment?

Soundcharts cannot measure songwriting quality, live performance capability, artistic vision, team fit, or fan emotional connection. These factors require human judgment that includes attending live shows, reviewing an artist's creative process and goals, and meeting the artist and their team to evaluate fit. A 5-million-monthly-listener artist on Spotify can still pull only 200 paid tickets in a given city, so streaming numbers act as an entry filter rather than a booking or signing decision. Save rates, repeat listener rates, and direct fan engagement offer better indicators of genuine connection than raw stream counts.

How Does OnesToWatch Complement a Soundcharts Workflow?

OnesToWatch provides the human-curation layer that data platforms cannot replicate. When a Soundcharts workflow surfaces an artist worth pursuing, OnesToWatch's editorial coverage, including curated playlists, in-depth artist features, and yearly selections, provides contextual validation grounded in genuine listening and editorial judgment. OnesToWatch has covered 850+ artists over the past 10 years, with alumni that now sell out arenas globally. OnesToWatch covers around 300 artists per year via features, and only around 20 of them make it to the year's selection, so its editorial signal functions as a quality filter that complements the attention signals Soundcharts tracks.

Conclusion: Turning Data Into a Signing Decision

Soundcharts operates as a powerful attention-tracking engine. Its six-stage workflow of discovery, noise reduction, momentum validation, benchmarking, monitoring, and decision gives A&R teams a repeatable, documented process for moving from millions of artists to a shortlist worth pursuing. Soundcharts founder David Weiszfeld puts it plainly: "Let AI take the retrieval and the assembly. Keep humans on judgment, relationships and timing."

Data can narrow the field, but closing the deal requires human judgment. Songwriting quality, live performance, artistic vision, team fit, and fan emotional connection remain human calls, and those calls decide whether a signing conversation becomes a career. When the workflow reaches that stage, OnesToWatch provides the editorial context and emerging-artist discovery that data cannot deliver.