1 Million Monthly Listeners. 12 Tickets Sold. Here's The Scam.
Why the industry keeps mistaking algorithmic reach for real fans.
I was having coffee last week with a close friend who does booking for a large booking agency. We were staring at a spreadsheet of potential openers for a fall tour, a package that should have been a slam dunk.
He pulled up “Artist A.”
Monthly Listeners: 1.1 Million.
Instagram Followers: 150k.
Verified Blue Check: Yes.
Label Status: Major label distribution deal.
Then he pulled up “Artist B.”
Monthly Listeners: 25,000.
Instagram Followers: 8k.
Verified: Barely.
Label Status: Independent.
“The promoter wants Artist A because the poster looks better,” he told me, rubbing his temples. “But I know for a fact Artist A literally cannot sell a single ticket in a secondary market. We booked them in Chicago last month at Subterranean. They sold 12 tickets. Twelve.”
Meanwhile, Artist B—the rapper with the “pitiful” 25k listeners? He just sold 350 hard tickets in Vancouver, 200 in Calgary, and moved 450+ in his hometown of Toronto. He also didn’t just sell tickets; he moved $4,000 in merch in one night.
This is the biggest open secret currently rotting the music industry from the inside out: The total decoupling of “consumption” from “fandom.”
I made the same mistake when I used to book acts for a music festival. High follower counts, mid-level monthly listeners, yet no fans.
We are building an entire ecosystem—festivals, advances, touring routes, and brand deals—on a foundation of fake math.
The “Passive Listening” Bubble
Why does Artist A have 1 million listeners but empty venues? Because “listeners” in 2026 are rarely active participants. They are casualties of the algorithm.
If you land on a massive editorial playlist like lofi beats to study to, RapCaviar, or Today’s Top Hits, your stream count skyrockets. But those people aren’t listening to you. They are listening to a vibe while they do the dishes. You are sonic wallpaper. You are a skipped stone.
Spotify’s own data suggests that “Super Listeners” make up only about 2% of an artist’s monthly audience. A stat worth noting is, according to Goldman Sachs’ Music in the Air report, these superfans are willing to spend 80% more on music-related consumption than the average listener1.
A lot of the time, an artist with 1 million monthly listeners, 980,000 of them don’t even know their name. Yet, the gatekeepers—Live Nation, Ticketmaster, major labels, and lazy talent buyers—are addicted to the vanity metrics. They book the “1M” number because it’s a safe sell to their corporate boards.
They are betting on ghosts.
The Experiment: The Superfan Calculator
About a year ago, I hit a wall. I started to pay more attention. A ton of artists that I knew had rabid fanbases we’re constantly getting rejected by agents and labels simply because their "top line” numbers didn’t look viral.
I realized I couldn’t win an argument based on feelings. I needed better math.
So, I built what I call the Superfan Calculator.
I engineered a prompt for an LLM to ingest raw artist data and apply a “Logic Weighting” system. The goal was to filter out the noise (passive streaming) and isolate the signal (active intent).
I fed the model standard metrics like Followers and Streams, but I instructed the AI to devalue them significantly. Instead, I forced it to prioritize “High-Friction Actions”—actions that require a human being to stop scrolling and do something.
Here is how the Calculator weighs the data:
Returning Listeners (Weighted High): (Data pulled from Spotify for Artists). Did the user listen once and leave? Or did they come back a second time in 28 days? A returning listener is 10x more valuable than a new one.
Mailing List & SMS (Weighted Massive): I instructed the model to treat 1 email address as equivalent to about 200 Instagram followers. Why? Because you own the data. Someone that clicked your Laylo, went to your website, or put in the energy to go through the multi-step process of giving you their email is way more valuable than someone that clicked follow on IG.
Community Density (The Engagement Ratio): The calculator almost entirely ignores “Likes” (which are easily botted). It looks at Comments, Shares, and Private Channel activity (IG Broadcast channels, Discord). It calculates a ratio: if you have 100k followers but only 10 comments, your “Fraud Score” goes up.
The “Merch/Ticket” History: Hard data on past spending behaviour.
When I ran Artist A (1.1M listeners) through my LLM calculator, the results were brutal. The model flagged their streams as “Low Intent/Passive.” Their “True Fan” score came back near zero.
When I ran Artist B (25k listeners), the calculator lit up. High retention. High comment density. Massive returning listener percentage. The model predicted—accurately—that Artist B was a six-figure touring business disguised as a “small” artist.
The calculator was interesting but slow in practice. Manual inputting and pulling data from dozens of different sources made a functional machine that was too heavy to carry around.
The Solution: A “Credit Score” for Fandom
The industry is lazy. Agents and A&Rs look at the top-line numbers because it takes 5 seconds. Digging into backend analytics takes 20 minutes and requires logins they don’t have.
We have tools like Chartmetric, and they are incredible. Affordable, yet still gatekept by a small paywall. Labels have their own data programs (Warner Music has Sodatone, for example). A lot of them cross-reference across all ticketing, social media and streaming platforms, look at trajectory and growth of an artist, and give them an “A&R score” of types. The problem, is that they’re often gatekept by major label teams and high-level managers.
It’s not easily accessible. The average person doesn’t see it, and often, neither does the indie club promoter in Boise who is terrified of losing $5,000 on a guarantee.
We need a new standard.
I am proposing a new SaaS concept. Picture a dynamic, one-page dashboard—think of it as a Linktree for Data or a public-facing FICO Score for Artists.
Imagine clicking a link in an artist’s bio that doesn’t just take you to a new single, but opens a “Proof of Fandom” ledger. It pulls API data in real-time to display:
True Fan Count: Not listeners, but the number of unique humans who have engaged across 3+ platforms in 60 days.
The “Laylo” Index: Exactly how many phone numbers does this artist possess? (SMS open rates are 98%; Email is 20%; Social is 2%).
Mailing List: data pulled from the artist’s website, Mailchimp, Klaviyo, or other email marketing platforms.
Ticket Velocity: What is the average time it takes this artist to sell 50 tickets (for example) in a new market?
Hard Ticket History: Verified past scans. “Sold 350 in Vancouver, Oct 2025.”
Merch Conversion: What is the dollar-per-head average at the merch booth?
VIP Demand: How many people are willing to pay a premium just to shake this artist’s hand?
Community Density: How many fans are commenting regularly on TikTok/IG? (Bots like; humans comment).
Why We Need This: The Behavioural Shift
This isn’t just about making life easier for booking agents (though it would save them millions in bad bookings). This is about rewiring the artist’s brain. The new artist economy is here, and things need to change.
Artists chase what they measure. For the last ten years, we have trained artists to chase:
Streams (which pay <$0.003)
Views (which pay $0.00)
Followers (who rarely see your posts)
To be blunt, a lot of these metrics are smoke and mirrors at the end of the day. Streams, views, and followers do not equal fans.
If we give artists a public Fan Score, we spark a fire under them to build metrics that actually convert.
Imagine if an artist’s “clout” wasn’t determined by a bought-and-paid-for blue check, but by a “High Community Score” on this dashboard? Suddenly, the artist stops worrying about making a 15-second viral TikTok and starts worrying about:
Building their mailing list.
Collecting phone numbers on Laylo.
Exchanging value with the fans who would die for them.
It teaches the artist that this is the future of music. It’s not about streams; it’s about fans.
Streams keep the lights on at Spotify. Fans keep the lights on at your house.
I envision a world where instead of a subtle brag being “I have X monthly listeners”, it turns into “I have X amount of true fans.”
The Economics of the $300 Fan
Here is the math that labels don’t want to talk about: You need roughly 75,000 streams to make $300. Or, you need one true fan to buy a hoodie, a concert ticket, and a vinyl record once a year.
Who would you rather chase? 75,000 ghosts or 1 human being?
If we had this SaaS tool, artists would finally be able to visualize that trade-off. It would prove to the agent that while Artist B only has 25k listeners, they have 1,000 people on an SMS list in that specific city who are ready to buy.
The “Fred Again..” Blueprint
We have seen this work. I’ve written before about how Fred Again.. created the modern superfan blueprint. His fan strategy is like none other, and is truly the one that matters most.
Fred doesn’t just post content; he builds community. He utilizes Discord, WhatsApp, and private channels. He listens to his fans. He talks to them, not at them.
The result? He can announce a pop-up show in a warehouse an hour outside the city center, with 45 minutes’ notice, and sell 500 tickets instantly.
He doesn’t need a billboard. He doesn’t need a playlist placement. He has a direct line to his people.
If we ran Fred Again.. through my “Superfan Calculator,” he would break the scale. Meanwhile, the pop star with 5M listeners who can’t sell out an arena would look like a fraud.
The Call to Action
To the developers and founders reading this: Build this tool. Build the “Public Fan Ledger.” Democratize the data. Break the monopoly that gatekeepers have on the “truth” of an artist’s value.
To the artists: Stop looking at your monthly listeners. It is a vanity metric designed to make you feel famous while keeping you poor. Start building your list. Start treating your fans like investors.
We need to kill the “Monthly Listener” as the primary metric of success. It is inaccurate, it is easily manipulated, and it is boring.
Let’s monetize the truth.
https://www.musicbusinessworldwide.com/super-listeners-are-2-of-all-music-streamers-but-buy-50-of-concert-tickets-spotify-says/#:~:text=’Super%20listeners’%20make%20up%20just,Spotify%20says%20%2D%20Music%20Business%20Worldwide
This is good! This applies not only to the listener economy, but across many creative economies, where popularity, "big backings" and celebrity are often mistaken for success. But a big audience does not equal revenue, not to mention loyalty that compounds way more at smaller scales.
This would make for more interesting festival lineups. Behold The Coachella organisers discussing how they assemble their lineups. Vanity metrics! Which is why the festival now feels less like a music festival and more like an opportunity for influencers to take selfies in the desert: https://web.archive.org/web/20170411030214/http://www.newyorker.com/magazine/2017/04/17/the-mastermind-behind-coachella