What Is Metrics Deep Dive?
Metrics Deep Dive is the core analysis engine of Artist's Toolkit. You enter 12+ data points from your Spotify for Artists dashboard, and the tool immediately calculates your algorithmic health across 6 dimensions. Each dimension is scored and color-coded so you know at a glance what's working and what needs attention. The optional AI Analysis (1 credit) goes deeper — providing personalized strategic recommendations grounded in your actual numbers.
How often listeners save your tracks. A strong save signal tells Spotify's algorithm your music has lasting value — triggering more playlist placements.
How many times the average listener plays your music. High repeat play rates indicate strong listener retention and song quality signals.
The rate at which listeners convert to followers. Followers unlock algorithmic benefits including Release Radar drops to your entire audience.
A composite of active listeners relative to your total reach. High engagement means Spotify surfaces you more aggressively in discovery features.
The proportion of your audience that is actively listening this period. A declining active rate can flag algorithm deprioritization before it fully sets in.
Where your streams are coming from — profile visits, personalized playlists, autoplay, or other. The mix reveals your algorithmic vs. organic health.
Where to Find Each Metric in Spotify for Artists
All data comes from your Spotify for Artists dashboard at artists.spotify.com. Here's exactly where to find each field.
How to Enter Your Data
Open the Metrics Deep Dive tool
From the main dashboard, click "Metrics Deep Dive" in the navigation. The form will load with all input fields grouped by category.
Fill in your core audience metrics
Enter Monthly Listeners, Total Streams, Monthly Active Listeners, New Active Listeners, and Super Listeners. These are the foundation of all 6 health scores.
Enter engagement and conversion metrics
Fill in Saves, Playlist Adds, and Followers. Then enter Streams per Listener (or let the tool calculate it automatically if you've filled in the stream and listener fields).
Set your source breakdown percentages
Enter the four source percentages: Artist Profile %, Personalized %, Autoplay/Mixes %, and Other %. These must add up to 100%. The tool will flag you if they don't.
Select your genre and artist tier
Choose your primary genre from the dropdown. Then select your artist tier — this sets the benchmarks against which your scores are measured. Tiers: Emerging (under 10K monthly listeners), Growing (10K–100K), Established (100K–1M), Major (1M+).
Click "Calculate Scores"
Your 6 health dimension cards appear instantly. No credit is spent at this stage — the score calculation is always free.
How to Read the 6 Health Score Cards
Each of the 6 dimension cards shows a score (0–100), a color status, and a one-line interpretation. Here's what the colors mean.
Running the AI Deep Dive (1 Credit)
Review your scores first
Before spending a credit, look at which dimensions are red or amber. The AI Analysis will address these specifically — knowing them in advance helps you evaluate the quality of the recommendations.
Click "Run AI Deep Dive"
A confirmation dialog will show you the cost (1 credit) and your remaining balance. Confirm to proceed. The analysis typically takes 10–20 seconds.
Read your personalized report
The AI report covers: an overall assessment, dimension-by-dimension interpretation, your most critical bottleneck, and 3–5 prioritized action steps specific to your numbers and genre.
Save or export your report
Use the "Save Report" button to store your analysis in your account history. Use "Export PDF" to download it for offline reference or to share with a manager, label contact, or collaborator.
Understanding Your Industry Position
Below your 6 dimension cards, you'll see an Industry Position panel that contextualizes your numbers relative to your artist tier. It shows your estimated percentile ranking, revenue range benchmarks, and a tier-specific summary statement.
Tier Percentile
Your overall health score ranked within your tier. A score in the top 25% of your tier means you're outperforming most artists at your listener level — a strong signal for pitching to labels, playlist curators, or DSP editorial teams.
Revenue Benchmarks
Estimated monthly streaming revenue ranges for your tier, based on average per-stream rates and your listener/stream counts. These are estimates, not guarantees — actual rates vary by market and distributor.
Getting the Most from Metrics Deep Dive
Run it on a release cycle
Enter your metrics 2 weeks before a release, immediately after, and 4 weeks post-release. The three-point comparison reveals exactly how much algorithmic lift your release generated and whether it sustained.
Pay attention to source breakdown shifts
If your Personalized % is rising, Spotify's algorithm is pushing your music proactively — lean into it. If Autoplay/Mixes is your highest source, your music is in rotation but you're not converting new fans. The AI Analysis will explain what to do differently.
Super Listeners are your leverage point
Super Listeners have an outsized influence on Spotify's taste recommendation graph. If your super listener count is low relative to your total audience, focus on deepening engagement with your existing fans before expanding reach.
Don't optimize all 6 dimensions simultaneously
The AI report will identify your single highest-leverage bottleneck. Focus exclusively on that one dimension for 4–6 weeks before re-running. Trying to improve everything at once diffuses your effort and makes it impossible to measure what's working.