December 5, 2018

How venues turn into revenues

Music identification impacts the artists’ revenues.


After a night out on the town, we decided to research how music identification systems used in venues impact the revenue generated.

Results show that music played at venues increase the industry’s long-tail and provide a significant source of income for indie and non-mainstream artists.

Some weeks ago we held our last quarterly session, a deep-rooted tradition here at BMAT.  It’s where we present our achievements up to date and discuss our future plans. We also make the best of these occasions to catch up in a different kind of way, commonly known as team building. Some of us jumped onto the turntables putting us all into a musical mood, internally known as bliss building.

With the summer heat hitting the streets of Barcelona, the night was especially welcoming and we ended up at a nightclub. Regardless of how much fun BMATer’s have, our geek gene can never be suppressed in such situations. This very gene was awoken when Delorean’s Big Deeper was played. One of us had been recently talking to the band’s label, Mushroom Pillow, and as we were at one of the clubs we monitor in Spain, we started to discuss how our system’s identification of that particular song would turn into royalties for the band.

We started to discuss how our system’s music identification of that particular song would turn into royalties for the band.

Royalties – From Venues to Artists

Some years ago club royalties were distributed by using a sampling method. The method mixes music statistics from radios and from manually-monitored venues thus extrapolating the obtained data to the entire network of clubs and venues of a country. There weren’t many other options in those days – this statistical extrapolation can be a self-indulgent scientific discipline. It’s something like saying you keep fit while you go to the gym only once a month. You still need to figure out what happens the rest of the time, which is most of the time. So earlier this year we ran an experiment to find out how ‘fit’ radio data extrapolation for venues distribution was.

During March 2018, in one of the European countries we monitor, we identified around 1,1 million plays across 210 radio stations monitored 24/7. Just 7% out of these – 76,822 titles – were unique songs, meaning different titles that are played over and over again. And if you’ve ever listened to commercial radio, you’ll easily know that most of the plays equate to a very small number of songs. Variety is conspicuous by its absence.

Statistics obtained from our Spanish chanels along March, 2018

Statistics obtained from 340 channels monitored along March, 2018

Venues turned the statistics upside down. In the same period and territory, we monitored 130 venues during their opening hours, which generated 182,233 identifications. Up to 25% of these – 45,458 – were unique songs. In other words, venues registered a lot less music – 10% of the radios – but the rate of unique tracks was much higher.

The long tail of the industry is much higher in venues, making them one of the best places to discover new music and where underground artists can reach broader audiences.

What’s more, 63% of unique tracks identified within a month were played exclusively in venues – and never played in radios. Statistics show that the long tail of the industry is much higher in venues, making them one of the best places to discover new music and where underground artists can reach broader audiences.

By extrapolating this case to the indie music scene, we can understand how important clubs turn out to be for indie artists like Delorean, whose songs aren’t typically played on the radio. The royalties generated with these late-night plays are key for niche artists.

Written by Brais, Head of Comms


Subscribe to Blog via Email

Enter your email address to subscribe to this blog and receive notifications of new posts by email.


Latest articles

September 10, 2024

What to do when AI crashes into your party

On the 1st of August 2024, the EU AI Act, unanimously approved on May 21, 2024, came into effect, delivering the world’s first AI law which clearly calls for the need for AI companies [...]


July 11, 2024

Decoding voice cloning and recognition – an AI introspective

Ethical concerns emerge around the extent of manipulation and the privacy implications involved in the advancing use of voice data. The riddle we're tackling is whether the evolving use of  [...]


May 15, 2024

Partnering with Voice-Swap to establish a certification program to verify datasets used in AI music models

Ethical voice cloning platform Voice-Swap and BMAT have forged a groundbreaking partnership to establish a certification program for AI music models. The certification will harness the powe [...]