Music Marketing Metrics: What to Track and Why
You post consistently. You release regularly. You’re doing the work. But is it working?
Without tracking the right metrics, you’re marketing blind. You might be doubling down on tactics that aren’t moving the needle while ignoring what actually drives growth.
This guide covers which metrics actually matter for indie artists, how to track them across platforms, and how to use data to make better decisions. Not vanity metrics that feel good. Metrics that tell you whether you’re building something sustainable.
The Problem with Vanity Metrics
Let’s start with what not to track. Or rather, what to track but not obsess over.
The Metrics That Mislead
Total streams: A cumulative number that only goes up. Tells you nothing about trajectory or health. An artist with 1 million total streams might be declining rapidly while an artist with 100,000 might be exploding.
Follower count: Followers are nice. But followers who don’t listen, engage, or buy are just numbers. Follower count doesn’t correlate strongly with income or career sustainability.
Playlist follower counts: That playlist with 50,000 followers might be 99% bots. Or those followers might never actually listen. Playlist size means nothing without listener engagement data.
Likes and hearts: Easy to give, easy to get, meaningless for your career. A like doesn’t translate to a stream, a follow, or a dollar.
Why Vanity Metrics Hurt
They feel good. That’s the problem.
When you track vanity metrics, you optimize for vanity. You chase followers instead of fans. You measure activity instead of outcomes.
Worse, vanity metrics can mask problems. Your follower count might grow while your engagement rate crashes. Your total streams might increase while your monthly listeners decline. Without looking at the right data, you’ll miss the warning signs.
What Experienced Marketers Track
The metrics that matter are rate-based and outcome-focused:
- Not streams, but streams per listener
- Not followers, but follower-to-listener ratio
- Not likes, but save rate
- Not reach, but conversion rate
Rate-based metrics tell you about quality. Outcome metrics tell you about results. Everything else is noise.
For the full foundation of marketing your music, see our indie artist guide.
Spotify, YouTube, TikTok & Instagram Analytics for Musicians
Each platform has different metrics available and different metrics that matter. Here’s what to track on each.
Spotify for Artists Analytics
Spotify provides the most detailed analytics for musicians. It’s where most music careers are made or stalled in 2026, so mastering these numbers is non-negotiable. For playlist strategies that drive these metrics, see our Spotify playlist guide.
Monthly Listeners (ML)
What it is: Unique listeners in the past 28 days.
Why it matters: This is your active audience—the number that determines whether you can fill a venue, attract playlist curators, or land brand deals. It reflects how many people actually engage with your music, not just historical accumulation.
What to track: Month-over-month change, not absolute number. A 10% monthly growth rate compounds significantly over a year.
| Growth Rate | Annual Result |
|---|---|
| 5%/month | 1.8x |
| 10%/month | 3.1x |
| 20%/month | 8.9x |
| -5%/month | 0.54x |
Followers
What it is: People who clicked “Follow” on your artist profile.
Why it matters (with nuance): Followers see your releases in Release Radar. High follower-to-listener ratio indicates dedicated fans. But followers don’t guarantee streams.
What to track: Follower-to-monthly-listener ratio. Healthy range: 15-40%. Below 15% suggests passive listeners who don’t follow. Above 40% suggests followers who aren’t actually listening.
Save Rate
What it is: Percentage of listeners who save your song to their library.
Why it matters: Saves are the closest thing to a “love” button on Spotify. When someone saves your track, they’re telling Spotify “I want this in my life.” High save rates trigger algorithmic recommendations and indicate songs with real staying power.
What’s good:
| Save Rate | Assessment |
|---|---|
| Under 1% | Weak resonance |
| 1-3% | Average |
| 3-5% | Strong |
| Above 5% | Excellent |
Source of Streams
What it is: Where your streams come from (your own profile, algorithmic playlists, editorial playlists, user playlists, external sources).
Why it matters: This shows what’s driving your growth. Heavy reliance on one source is risky. Algorithmic streams indicate strong listener retention.
Healthy distribution:
- 20-40% from your profile and followers
- 20-40% from algorithmic playlists
- 10-30% from user playlists
- 10-20% from external sources
- Variable from editorial playlists
If 80%+ comes from one source, you’re vulnerable if that source changes.
Tracking Editorial Playlist Submissions
When you pitch to Spotify editorial playlists through Spotify for Artists, track your submission history and results. Create a simple log noting: song title, pitch date, playlist placement (if any), and date added. Over time, you’ll see patterns in what Spotify editors respond to—certain tempos, moods, or release timing. Most artists pitch blindly without tracking results; this data gives you an edge.
Listener Demographics
What it is: Age, gender, and geography of your listeners.
Why it matters: Tells you who your audience actually is (vs. who you think it is). Informs targeting decisions for ads, tour routing, content focus.
What to track: Are you reaching your intended audience? Shifts in demographics over time? Unexpected geographic concentrations?
YouTube
YouTube is the world’s largest music discovery platform—bigger than Spotify, Apple, and TikTok combined for search-based discovery. Unlike streaming platforms, YouTube rewards deep engagement and builds lasting catalog value. And unlike TikTok virality that fades in days, a well-performing YouTube video can drive streams for years.
Watch Time
What it is: Total minutes watched.
Why it matters: YouTube’s algorithm prioritizes watch time over views because advertisers pay for attention, not impressions. A 10-minute video watched for 8 minutes outperforms a 3-minute video watched for 1 minute—and earns more revenue too. This is why your 3-minute music video can outperform a viral short if people actually watch the whole thing.
What to track: Total watch time and average view duration per video.
Audience Retention
What it is: Graph showing where viewers drop off in your video.
Why it matters: Reveals what’s working and what’s losing people. Big drop in first 30 seconds? Your intro needs work. Gradual decline? Normal. Sharp drop mid-video? Something killed interest.
What to track: Average percentage viewed. Compare across videos to find patterns.
| Avg % Viewed | Assessment |
|---|---|
| Under 30% | Hook failing |
| 30-50% | Average |
| 50-70% | Strong |
| Above 70% | Excellent |
Click-Through Rate (CTR)
What it is: Percentage of impressions that become views.
Why it matters: CTR measures how compelling your thumbnail and title are. YouTube shows your content to more people when CTR is high.
What’s good:
| CTR | Assessment |
|---|---|
| Under 2% | Weak thumbnail/title |
| 2-4% | Average |
| 4-8% | Strong |
| Above 8% | Excellent |
Subscriber Conversion
What it is: Percentage of viewers who subscribe.
Why it matters: Subscribers form your committed audience. Converting viewers to subscribers ensures they see future content.
What to track: Subscribers gained per 1,000 views. Industry average is 0.5-2%.
TikTok
TikTok remains the great equalizer for music discovery in 2026. A single video can still break an unknown artist overnight—but only if you understand what the algorithm rewards. This is where artists with 500 followers can wake up to a million views. The metrics that matter reflect whether content captures and holds attention.
Completion Rate
What it is: Percentage of viewers who watch to the end.
Why it matters: The single most important TikTok metric—it’s the algorithm’s trust signal. High completion tells TikTok “this video is worth showing to millions.” Low completion rate buries your video after a few hundred views, regardless of how good the content actually is. This is why short, punchy videos often outperform longer “better” content.
What’s good:
| Duration | Target Completion |
|---|---|
| Under 15s | 80%+ |
| 15-30s | 60%+ |
| 30-60s | 40%+ |
| Over 60s | 25%+ |
Sound Usage
What it is: How many videos use your sound.
Why it matters: This is where TikTok becomes a true music marketing platform. When creators use your sound, each video becomes an ad for your music—and you don’t pay for it. One viral sound can generate millions of organic streams.
What to track: Videos created using your sound. Rate of growth. Quality of videos using your sound (high-follower creators vs. low).
Profile Visits
What it is: How many people visit your profile after seeing a video.
Why it matters: Profile visits indicate interest beyond a single video. These are potential followers.
What to track: Profile visits per video. Profile visit rate (visits divided by views).
Follower-to-View Ratio
What it is: How many followers you gain per views received.
Why it matters: Measures conversion efficiency. Are views translating to real audience growth?
Healthy range: 1-3 followers per 1,000 views. Higher indicates compelling profile. Lower indicates views aren’t converting.
For more on maximizing TikTok, see our TikTok music promotion guide.
Instagram is where you convert casual listeners into real fans. While TikTok drives discovery, Instagram builds the relationship that turns streams into merch sales, concert tickets, and superfan support. Think of TikTok as the party where people meet you; Instagram is where you actually become friends. For Reels-specific strategies, see our Instagram Reels guide for musicians.
Engagement Rate
What it is: Total engagements (likes + comments + saves + shares) divided by reach or followers.
Why it matters: Tells you if your audience cares, not just if they see your content. High engagement signals the algorithm to expand reach. An account with 5% engagement rate and 1,000 followers will outperform an account with 0.5% engagement and 10,000 followers—the algorithm knows who’s actually paying attention.
What’s good:
| Engagement Rate | Assessment |
|---|---|
| Under 1% | Weak |
| 1-3% | Average |
| 3-6% | Strong |
| Above 6% | Excellent |
Calculate using reach for accuracy, followers for simplicity.
Save Rate
What it is: Saves divided by reach.
Why it matters: Saves are the most meaningful Instagram engagement. Users save content they want to return to. Saves signal value to the algorithm more than likes.
What to track: Saves per post. Compare post types to see what gets saved most.
Story Completion Rate
What it is: Percentage of story viewers who watch to the last frame.
Why it matters: Multi-frame stories lose viewers. High completion rate indicates engaged followers who care about your updates.
What to track: Completion rate across stories. Where do people drop off?
Website Clicks
What it is: Clicks on the link in your bio or story links.
Why it matters: The only Instagram metric that connects to off-platform action. This is where social media becomes real business—driving traffic to streaming, email signup, or merch.
What to track: Clicks per post/story that mentions the link. Conversion rate to action (if trackable). For detailed link click attribution, see the attribution section below.
Building a Simple Tracking Dashboard
You don’t need expensive tools to track metrics. You need a simple system you’ll actually use.
What to Track Weekly vs. Monthly
Weekly (15 minutes):
- Spotify monthly listeners and save rate on latest release
- Total content views across platforms
- Engagement rate on top-performing content
- Any unusual spikes or drops
Monthly (30 minutes):
- Spotify streams, listeners, and follower trends
- YouTube watch time and subscriber growth
- TikTok sound usage and follower growth
- Email list growth and open rates
- Revenue by source (if applicable)
The 5 Numbers Every Artist Should Check Weekly
- Spotify Monthly Listeners: Your active audience size
- Spotify Save Rate on Latest Release: Quality signal
- Best-Performing Content Views: What’s working
- Profile Visits Across Platforms: Interest level
- Email List Size: Asset you own
These five numbers give you a health check in 5 minutes.
The 5-Number Weekly Tracker
Here’s a simple format you can use in any notes app, spreadsheet, or on paper:
WEEKLY METRICS CHECK: [Date]
================================
1. Spotify ML: ______ (last week: ______) [+/-___%]
2. Latest Release Save Rate: _____%
3. Best Content Views: ______ on [platform] ([content type])
4. Profile Visits: ______ (Spotify + Instagram + TikTok)
5. Email List: ______ (+______ this week)
NOTES:
- What worked:
- What to try next week:
- Unusual patterns:
After 8-12 weeks, you’ll have enough data to see real patterns in what drives your growth. We’re working on a free tracking template you can copy and use directly—check back soon or subscribe to our newsletter to get notified when it’s ready.
Free Dashboard Approach
Google Sheets template structure:
Create a spreadsheet with tabs:
- Weekly metrics (rolling 12 weeks)
- Monthly summary (rolling 12 months)
- Release performance (every release)
- Notes (observations, changes made)
Columns for each platform, rows for each week/month. Add charts that visualize trends.
Update weekly. Review monthly. Look for patterns.
Visual Dashboard Layout
If you’re building a Google Sheet, structure it like this:
| Section | Columns | Purpose |
|---|---|---|
| Header | Week #, Date Range | Track time periods |
| Spotify Row | ML, Followers, F/ML Ratio, Latest Save Rate | Core streaming health |
| Content Row | Top Post Platform, Views, Engagement Rate | What content is working |
| Growth Row | Profile Visits, Email Adds, Follower Change | Conversion signals |
| Notes Row | Free text | Observations, changes made |
Add a simple line chart tracking Monthly Listeners over time. One visual tells you more than twenty numbers.
Automated Options
Chartmetric (limited free tier): Cross-platform analytics, playlist tracking, competitive analysis. Best for artists with budget and serious about data.
Soundcharts (limited free): Similar to Chartmetric, different interface and features. Compare both free tiers.
Spotify for Artists + YouTube Studio + TikTok Analytics: Free, built-in, good enough for most artists. The limitation is that data stays in silos.
Feature.fm: Smartlinks with analytics. See which platforms people choose, where traffic comes from. More on reading Feature.fm data in the attribution section below.
Understanding Attribution in Music Marketing
Here’s the hard truth: perfect attribution is impossible in music marketing.
The Challenge
You post a TikTok. Someone watches it. Three days later, they search your name on Spotify and stream your song. Did the TikTok cause that stream?
Probably. But you can’t prove it.
Music discovery doesn’t work like e-commerce. There’s no direct link from “saw ad” to “purchased product.” Listeners discover you, forget you, remember you later, search you on a different platform. The path is messy.
Correlation vs. Causation
You run a TikTok campaign. Spotify streams increase 30%. The campaign worked, right?
Maybe. Or maybe:
- Your song got added to an algorithmic playlist
- A popular creator happened to use your sound
- Seasonal listening patterns shifted
Multiple factors affect streams simultaneously. You can identify correlations, not definitive causation.
What to do: Track everything. Look for patterns. When multiple campaigns run simultaneously, isolate what you can. Accept uncertainty in the rest.
Time-Lagged Effects
Music marketing has delayed impact. Content today creates awareness that becomes streams next week or next month.
This makes weekly analysis noisy. One bad week doesn’t mean your strategy failed. One good week doesn’t mean you’ve cracked the code.
Look at rolling averages (4-week moving average) rather than single data points. Trends matter more than snapshots.
Practical Attribution Approaches
UTM parameters: Add tracking tags to all your links. In Google Analytics, you’ll see which campaigns drive traffic, even if you can’t see the final conversion.
Here’s how to structure UTM parameters for music marketing:
Base URL: https://feature.fm/yourartist/newsingle
Instagram bio link:
feature.fm/yourartist/newsingle?utm_source=instagram&utm_medium=bio&utm_campaign=newsingle_launch
TikTok bio link:
feature.fm/yourartist/newsingle?utm_source=tiktok&utm_medium=bio&utm_campaign=newsingle_launch
Email campaign:
feature.fm/yourartist/newsingle?utm_source=email&utm_medium=newsletter&utm_campaign=newsingle_launch
Paid ad:
feature.fm/yourartist/newsingle?utm_source=meta&utm_medium=paid&utm_campaign=newsingle_launch&utm_content=video_ad_v1
When you run paid campaigns, proper UTM tracking becomes essential. See our Meta Ads guide for musicians for campaign-specific tracking setup.
Reading Feature.fm Data
Feature.fm’s analytics show you:
- Click-through rate by platform: Which streaming services your audience prefers (Spotify vs. Apple vs. YouTube)
- Geographic breakdown: Where your clicks come from
- Traffic source: Which of your links drive the most action
The key insight: compare click-through rate across links. If your TikTok bio link has 15% CTR but your Instagram bio has 3%, your TikTok audience is more engaged with your music (not just your content). Double down there.
Time-boxing analysis: When you make a change, note the date. Compare metrics before and after. Give at least 2-4 weeks for effects to show. For release-specific timing strategies, see our music release timeline guide.
A/B testing in time: If you can’t run true A/B tests, run strategies in sequence. Two weeks of approach A, two weeks of approach B. Compare results.
Asking fans: The lowest-tech approach. Ask new fans how they found you. Their answers reveal common discovery paths.
Setting Benchmarks by Career Stage
“Is 3% save rate good?” Depends on your stage. Benchmarks vary by career level.
Emerging Artists (0-5,000 Monthly Listeners)
At this stage, growth rate matters more than absolute metrics. You’re building from near-zero.
| Metric | Below Average | Average | Above Average |
|---|---|---|---|
| Monthly listener growth | <10%/month | 10-30% | >30%/month |
| Save rate | <2% | 2-4% | >4% |
| Follower/listener ratio | <10% | 10-20% | >20% |
| TikTok completion rate | <40% | 40-60% | >60% |
Priority: Find what resonates. Experiment. Watch for signals.
Developing Artists (5,000-25,000 Monthly Listeners)
You have traction. Now focus on efficiency and conversion.
| Metric | Below Average | Average | Above Average |
|---|---|---|---|
| Monthly listener growth | <5%/month | 5-15% | >15%/month |
| Save rate | <3% | 3-5% | >5% |
| Follower/listener ratio | <15% | 15-30% | >30% |
| Email list growth | <2%/month | 2-5% | >5%/month |
Priority: Convert listeners to followers and email subscribers. Build community.
Established Artists (25,000-100,000 Monthly Listeners)
You have an audience. Optimize for retention and monetization.
| Metric | Below Average | Average | Above Average |
|---|---|---|---|
| Monthly listener growth | <2%/month | 2-8% | >8%/month |
| Save rate | <4% | 4-6% | >6% |
| Follower/listener ratio | <20% | 20-35% | >35% |
| Merch conversion | <0.5% | 0.5-1.5% | >1.5% |
Priority: Retention. Monetization. Depth of fan relationships. For monetization strategies at this stage, see our indie musician income streams guide.
Professional Artists (100,000+ Monthly Listeners)
Growth rates naturally slow at scale. Focus on quality metrics.
| Metric | Below Average | Average | Above Average |
|---|---|---|---|
| Monthly listener growth | <1%/month | 1-5% | >5%/month |
| Save rate | <5% | 5-8% | >8% |
| Superfan % (top 1% streamers) | <0.1% | 0.1-0.3% | >0.3% |
| Revenue per listener | <$0.05/year | $0.05-0.20 | >$0.20/year |
Priority: Monetize effectively. Maintain engagement. Build sustainable business.
When to Double Down vs. Pivot
Data should drive decisions. But how?
Leading Indicators
Leading indicators predict future success. They move before outcomes change.
For music marketing, leading indicators include:
- Engagement rate (predicts algorithmic distribution)
- Save rate (predicts repeat listeners)
- Profile visits (predicts follower growth)
- Content completion rate (predicts reach)
When leading indicators are strong, outcomes usually follow. Keep going.
Lagging Indicators
Lagging indicators confirm what happened. They move after outcomes change.
For music marketing:
- Total streams (confirms past success)
- Revenue (confirms monetization)
- Follower count (confirms past conversions)
Use lagging indicators to validate strategy. But don’t wait for them to change to make decisions.
The Decision Framework
Continue current strategy when:
- Leading indicators are positive
- Month-over-month growth is steady
- Engagement is stable or improving
Intensify efforts when:
- Something is working much better than expected
- Clear breakout in one area
- Resources available to scale
Investigate when:
- Leading indicators dropping
- Engagement declining despite consistent effort
- Results not matching historical performance
Pivot when:
- Leading indicators negative for 4+ weeks
- Multiple releases underperform
- Clear evidence that approach isn’t working
How Long to Test
Most artists pivot too early. They try something for two weeks, see no results, and conclude it doesn’t work.
Minimum test duration by tactic:
| Tactic | Minimum Test Period |
|---|---|
| Content format | 3-4 weeks (10+ posts) |
| Posting frequency | 4-6 weeks |
| New platform | 2-3 months |
| Ad creative | 1 week ($100+ spend) |
| Release strategy | 2-3 releases |
Gather enough data to draw conclusions. Then decide.
Free Tools for Music Analytics
You don’t need expensive subscriptions to track your metrics.
Spotify for Artists
What it shows:
- Streams, listeners, saves, followers
- Song and album performance
- Source of streams
- Playlist placements
- Listener demographics
What it misses:
- Competitive data
- Cross-platform view
- Playlist discovery
How to use it: Check weekly. Export data monthly for your dashboard. Focus on save rate and source breakdown.
Apple Music for Artists
What it shows:
- Plays, listeners, Shazams
- Geographic data
- Purchase data
- Radio play (where applicable)
What it misses:
- Same limitations as Spotify—no competitive context
How to use it: Compare with Spotify data. Apple often shows different geographic patterns. Shazams are a unique discovery indicator.
YouTube Studio
What it shows:
- Views, watch time, subscribers
- Traffic sources
- Audience retention
- Revenue (if monetized)
What it misses:
- Connection to streaming platforms
How to use it: Focus on audience retention curves. They tell you exactly where content succeeds or fails.
TikTok Analytics
What it shows:
- Video views, likes, comments, shares
- Profile visits and follower growth
- Audience demographics
- Sound usage
What it misses:
- Spotify/Apple connection
- Detailed competitive data
How to use it: Track completion rate on every video. Compare video styles to find what works.
Worth the Money
If you’re serious about data and have budget:
Chartmetric ($10-100+/month): Best for playlist tracking, competitive analysis, and cross-platform data.
Soundcharts ($100+/month): Similar to Chartmetric, different strengths. Compare both.
Feature.fm ($10+/month): Smartlinks with detailed click analytics. Worth it if you run ads.
For most emerging artists, the free tools are sufficient. Add paid tools when you’re optimizing a working strategy, not still searching for one.
Making Data-Driven Decisions
Tracking metrics is pointless without action.
Here’s a simple monthly workflow:
-
Review dashboard (30 minutes)
- What improved? What declined?
- Any surprising data points?
-
Identify one thing to double down on
- What’s working that you can do more of?
-
Identify one thing to stop or change
- What’s not working despite effort?
-
Update strategy
- Adjust content mix, posting frequency, or focus
-
Document decisions
- Write down what you changed and why
In three months, you’ll have a log of experiments and results. You’ll stop guessing and start knowing what works for you specifically.
That’s the point of metrics: not to stress about numbers, but to make better decisions. Track what matters. Ignore what doesn’t. Use data to build a career that lasts.
Frequently Asked Questions
How often should I check my analytics?
Weekly for quick metrics (streams, engagement). Monthly for deeper analysis and trend identification. Daily checking leads to overreaction to normal fluctuations.
My monthly listeners went down. Should I be worried?
Maybe. Check if it’s a one-time drop (normal variation) or a sustained trend (actual decline). Also check whether your other metrics (save rate, engagement) are stable. A small ML drop with strong engagement metrics is less concerning than declining metrics across the board.
What’s more important: followers or monthly listeners?
Monthly listeners indicate active engagement. Followers indicate potential for future engagement. Both matter, but monthly listeners are a more honest measure of your current audience. Aim for a healthy ratio between them (15-40% follower/ML ratio).
How do I know if a playlist placement is working?
Track source of streams before and after placement. Also monitor save rate from that playlist. A good playlist generates saves (engaged listeners), not just streams (passive listeners). If a playlist drives streams but zero saves, the listeners aren’t connecting.
Should I track metrics for every piece of content?
Track enough to identify patterns, not so much that it becomes paralyzing. For content, note your top and bottom performers each week. Look for patterns in format, topic, timing. You don’t need a spreadsheet row for every Instagram story.