Streaming (DSPs)
Plays, listeners, saves, skips, retention. Artist, track, and album level.
Every major independent music data platform built in the last decade has been acquired by a label or shut down. Ask whose interests their numbers serve now. Music Intel remains independent. We measure streaming, social, rights, and charts across every market where royalties are collected - and we answer to no roster but yours.
Some teams watch Spotify. Others watch TikTok. Others the UK charts. The gaps between those views are where fraud hides, breakouts go unsigned, and royalties go unclaimed. We measure all of it, and everything in between. Twelve categories of signal, measured daily against a reference universe of over two hundred million recordings. One decision-grade view of every artist on your roster.
Plays, listeners, saves, skips, retention. Artist, track, and album level.
Audience size, engagement, post cadence, demographic mix, velocity.
Views, watch time, cover versions, UGC volume, sound usage on short-form.
Editorial placements, algorithmic reach, user playlists, followers, churn.
9,198 chart sources scanned daily. Position, weeks-on, debut, re-entry.
Where the listeners actually are. Country and city-level attribution across 105 territories.
News mentions, reviews, features, podcasts, interviews. Sentiment-scored.
Organic interest across Google and partner search. Pre-Shazam momentum.
Identifiable industry visitors to your artist's website. Labels, broadcasters, agencies, sync houses - mapped to IP the moment they land.
110K+ IPIs, 2.7M works indexed for ISWC lookup, 7.6M recording-to-work links.
Airplay across terrestrial, satellite, and streaming radio. Spin counts, rotation, DJ support.
Tour announcements, venue sizes, ticket prices, box office settlement where visible.
Scout Alert maps industry IP addresses - labels, publishers, booking agencies, broadcasters, sync supervisors, festival bookers - to the artists they're watching. A lightweight pixel on your artist's site, a reverse-DNS lookup, and a push notification the moment a recognised visitor lands. One of twelve categories we measure. All of them work this hard.
Every signal. Every day. One company, independent, unacquired.
Every artist in your catalogue, cross-referenced daily against 1,200 signals. Fraud flagged before it corrupts your reporting. Breakouts surfaced before a rival's offer lands. Territory demand measured, not guessed. Decisions you can defend in a meeting.
A 207-million-track reference catalogue, cross-referenced with chart, streaming, and rights data. Establish the writer, the plays, the listeners, and the gap. Produce the evidence pack. File the claim. Settle in days rather than years.
Recordings, writers, publishers, societies and platforms each hold their own version of the truth, in their own standard. A Chief Data Office read on why fragmentation now costs real money, and why AI raises the price of getting it wrong.
Read the dispatch →Streaming data has become the currency of modern music. An argument for why artificial streams are fraud rather than clever marketing, and what a real audience actually looks like.
Read the dispatch →Identity matching is one of the least understood and most important parts of the modern music business. How four spellings of the same name become four different people, and what an identity map does about it.
Read the dispatch →Streaming fraud has moved upstream. A forensic read on duplicate-upload royalty hijacking, and why the master recording, not the stream, is the asset under attack.
Read the dispatch →The scale of the black box, measured in dollars rather than rhetoric. And what a single-country figure implies globally.
Read the dispatch →Anomalies are cheap. Evidence is not. A short paper on the difference between a chart movement and a verified listening event.
Read the dispatch →Six months inside a modelled back-catalogue recovery: the writer, the gaps, and a claim that settles in ninety-one days.
Read the dispatch →A coordinated bot campaign has a fingerprint in the raw data. Streaming counts are only the first layer.
Read the dispatch →The window between a genuine organic breakout and a commercial response is shrinking. Most artists with momentum signatures have no infrastructure to capitalise on them.
Read the dispatch →Streaming fraud is not random. It clusters geographically and operationally. A composite case showing how a coordinated playlist network generates high play counts with zero legitimate engagement.
Read the dispatch →In a significant number of markets, streaming data signals meaningful live demand that booking agents are not acting on. The gap is measurable.
Read the dispatch →A significant percentage of CWR transactions contain errors that cause royalties to fail silently. Accepted by societies but matched to the wrong work, the wrong writer, or no work at all.
Read the dispatch →UK artists performing on recordings played in Germany, the Netherlands, and Scandinavia are owed money from three of the highest-paying neighbouring rights societies in the world. Most are not claiming it.
Read the dispatch →M&A diligence looks at what a catalogue has earned. It almost never looks at what it should have earned. A composite case showing the gap between acquisition model and royalty reality.
Read the dispatch →Music Intel operates as a full-stack music data platform, aggregating streaming analytics, social engagement, chart performance, radio airplay, rights registrations, and live touring data into a single cross-referenced environment. The platform processes 1,200 data points per artist daily across 105 royalty-collecting territories, producing structured output for labels, distributors, publishers, and management companies.
Beyond aggregation, Music Intel interprets the data. The interpretation layer identifies fraud contradictions (StreamShield), surfaces early-breakout artists (Agent Radar), maps geographic touring demand (Tour Manager), and detects royalty gaps (Black Box). The platform does not surface raw numbers - it produces verdicts that can be defended in a boardroom, a tribunal, or an investment committee.
Black Box Royalty Investigator operates as forensic royalty management software, identifying unclaimed and underpaid royalties across the global collection infrastructure. The system processes CWR registrations, validates ISRC and ISWC identifiers, detects mechanical gaps, and generates tribunal-grade evidence packs for filing with collection societies worldwide. Engagement models range from fixed-fee triage to outcome-based recovery.
StreamShield is a machine-learning streaming fraud detection system that identifies artificial streaming activity - bot farms, manufactured listeners, and playlist manipulation - before platforms penalise artists. The system classifies fraud risk across five levels with contributing factors shown for every verdict, operating across entire catalogues with prediction summaries and a closed-loop learning architecture.
The platform maintains a rights index of 110,000+ IPIs, 2.7 million works indexed for ISWC lookup, and 7.6 million recording-to-work links. CWR health scoring identifies registration failures that cause royalty leakage. Evidence packs meet the documentary standards of MLC, ASCAP, BMI, PRS, PPL, GEMA, SACEM, and SOCAN.
Agent Radar surfaces three types of momentum across catalogues: zone promotions (career-level advancement), velocity spikes (growth-rate acceleration), and streaming surges (extreme baseline multipliers). The system provides weeks of lead time over public-facing signals, identifying breakout artists before competing distributors or labels can make offers.
Every other independent platform in this market was acquired or shut down. We measure your catalogue and report to you alone. Start with one conversation.