Label OS - Trends 2.1
🎬 Watch it in action (3 min):
Most labels find out an artist is breaking when everyone else already knows. By then, the advance price has doubled, the manager has options, and the window is closing.
Trends 2.1 changes when you find out.
Not just which tracks are growing — but why they're growing, who is driving it, and whether the audience is real fans or algorithm exposure. The difference matters for every decision: whether to invest, whether to sign, whether to double down or move on.
This page covers everything new in Trends 2.0 and Trends 2.1.
The Evolution
| Version | Focus | Status |
|---|---|---|
| Trends 2.0 | Sorting, filtering, visualization control | ✅ Live |
| Trends 2.1 | Listener-level intelligence, persistence, comparison | ✅ Live |
Trends 2.0 — Find What's Growing, Not Just What's Big
The first problem with most label analytics is that they're organized around what already happened. Biggest revenue. Most streams. Top tracks. All of it is rearview mirror.
Trends 2.0 reorients the view around momentum.
📊 Sort by Growth Rate
Sort your entire catalog by growth rate across any metric — not just totals:
| Sort By | What It Shows |
|---|---|
| Revenue growth | Which tracks are earning more this period vs. last |
| Stream growth | Which tracks are gaining traction |
| Creation growth | Which tracks are trending on TikTok/Instagram |
| View growth | Which tracks are getting YouTube momentum |
Before: Sort by total revenue. See what was already big.
Now: Sort by growth. See what is becoming big — while you can still act on it.
🎯 Min-Max Range Filters + Growth Sort
The most powerful move in Trends 2.0 is combining filters with growth sorting:
- Filter to tracks with 5k–50k streams (your "almost there" tier)
- Sort by stream growth
- See which tracks are accelerating fastest in that tier
This surfaces breakout candidates before they hit your top 10 — while promotion spend still makes a difference.
📈 Full Visualization Control
- Multi-select visualization: Choose exactly which tracks to compare — not just the default top 5
- Quick-switch metrics: Toggle between revenue, streams, creations, and views on the same chart
- Custom column layout: Show, hide, and reorder any metric column to match your workflow
Trends 2.1 — Listener-Level Intelligence
Getting more streams tells you something happened. Trends 2.1 tells you what happened and who made it happen.
The Metrics That Change the Decision
| Metric | What It Tells You | Why It Matters |
|---|---|---|
| Spotify Listeners | Unique listener count per track | Separate reach from repeat plays — know your actual audience size |
| Streams per Listener | Ratio of streams to unique listeners | High ratio = superfan signal. These tracks have real, loyal audiences. |
| Active Streams | Streams from search, library, artist page | Intentional engagement — people seeking out the music |
| Passive Streams | Streams from playlists, radio, autoplay | Algorithmic exposure — valuable, but fragile |
| Free vs. Paid Listeners | Breakdown by subscription tier | Paid listeners generate higher per-stream rates — affects revenue forecast accuracy |
Active vs. Passive: The Distinction That Changes How You Invest
| Category | Sources | What It Means |
|---|---|---|
| Active | Library, Search, Artist Page, Album Page | Real fans. Durable. These streams don't disappear when a playlist cuts you. |
| Passive | Playlists, Radio, Autoplay, Recommendations | Algorithmic exposure. Valuable while it lasts — unreliable as a foundation. |
A track with 80% passive streams looks strong until it falls off playlists. A track with high active share has a real fanbase — more stable, more monetizable, more defensible as a signing case.
Additional Capabilities
Comparison Screen — New tab for side-by-side metric comparison on time-series charts. Compare streams vs. TikTok/Instagram creations to see which campaigns drove which spikes. Stop guessing what worked.
Persistent Configuration — Your column order, visible fields, and filters save across sessions. Log out, log back in — your view is exactly how you left it.
Gross / Net / Partner Share Toggle (Label OS admin users) — See total revenue, revenue after DSP and distribution fees, or your actual earnings. No more spreadsheet math to understand what a track is worth to you specifically.
What This Changes in Practice
The Decisions You Can Now Make That You Couldn't Before
| Signal | What It Means | Action |
|---|---|---|
| High streams per listener + high active share | Real superfan base — durable, monetizable | Double down. This artist has a real audience. |
| High passive + low active share | Playlist-dependent. Revenue is fragile. | Diversify promo. Don't over-invest based on current numbers. |
| Social creation spike → stream spike | A viral moment that converted | Identify what caused it. Replicate the campaign. |
| High creation growth, flat streams | Social buzz not converting to listens | Fix the link-in-bio or CTA before spending more on promotion. |
| Strong growth in 5k–50k stream tier | Breakout candidate — still early | Act now while advance price is still reasonable. |
Before vs. After
Before Trends 2.0/2.1:
- Sort by total revenue only → miss emerging tracks until they've peaked
- No listener-level data → can't separate superfans from casual plays
- No active/passive breakdown → can't tell real fanbases from playlist dependency
- Rebuild your view every session → wasted time on setup, not analysis
After Trends 2.0/2.1:
- Sort by growth rate → find breakout candidates while you can still act
- Streams per listener metric → identify superfan tracks before signing conversations
- Active/passive breakdown → know which artists have durable audiences vs. algorithmic exposure
- Persistent configuration → open the platform and get straight to work
What's Not Changing
Your existing dashboards, reports, and workflows are unchanged. Trends 2.0/2.1 adds capabilities — nothing is removed or reorganized.
Get Started
Request early access or a walkthrough: [email protected]
Already in beta? Send feedback to the same address — we're iterating fast.