Spotify gives you numbers. It doesn't tell you what they mean. Artists Toolkit decodes your streams, benchmarks your metrics against the industry, scores your algorithmic health, and translates your royalties into decisions — all in one desktop application built by an artist who needed it first.
Spotify for Artists shows you numbers. It doesn't tell you whether those numbers are good, bad, or what to do about them. Without industry benchmarks and a framework to interpret them, every dashboard is just noise.
Interconnected tools that take you from raw Spotify data to strategic clarity. No spreadsheets. No guessing. No context switching.
Enter your artist metrics manually and receive a per-dimension breakdown across 15+ signals: Monthly Listeners, Streams Per Listener, Save Rate, Playlist Add Rate, New Active Listeners, Super Listeners, Source of Streams, and more. Each metric gets a benchmark comparison, an algorithmic interpretation, a health status indicator, and a prioritized 3-step action plan.
Powered by the Andromeda Analytics System v2.0 — Claude AI analysis grounded in the full Andromeda Protocol research corpus.
1 Credit per full AI analysisUpload your CSV exports from Spotify for Artists, or use the AI-powered screenshot ingestion to extract data automatically from dashboard screenshots. Supports both song-level and global artist metrics. Data is stored, giving you a persistent history of every analysis you've run.
Upload spreadsheet from your distributor (DistroKid, TuneCore, etc) to build your DSP Dashboard
CSV · Screenshot AI · Multi-formatGo beyond total payout. The Royalty Deep Dive module breaks your streaming revenue down by country, platform, and time period — surfacing per-stream payout rates by market. Discover which territories are paying you above average and which are diluting your effective royalty rate. One insight here can be worth more than a month of additional streams.
Market Comparison · RPE · Per-Stream Rate10-turn AI sessions grounded in 10 proprietary research notebooks: the Andromeda Protocol, Telemetry Audit, Spotify Playbook 2026, Royalty Deep Dive, Andromeda Math, and more. Every answer is cited, sourced, and connected to real algorithmic mechanics — not generic advice. Session history is saved so you can pick up where you left off.
3 Credits per session · 10 Knowledge SourcesHave a direct conversation with your own royalty data. Upload your distributor spreadsheet and ask plain-English questions — top-earning tracks, payout trends by country, platform comparisons, and more. Every answer is computed from your actual numbers, filtered to your selected date range.
3 Credits per session · 10 turnsCredits are the fuel for AI-powered analysis. Each credit unlocks one deep analysis session — you control exactly when you use them. Your account starts with 1 free credit. Additional credit packs are available for purchase inside the app whenever you need more.
The toolkit is built around a deliberate workflow. Every step moves you closer to a decision you can act on today.
Upload a CSV from Spotify for Artists, drop in a dashboard screenshot for AI extraction, or enter metrics manually. The toolkit meets you wherever your data lives.
Select your tool — Metrics Deep Dive, Royalty Intelligence, or Ask the Expert. Spend one credit to unlock a full AI-powered analysis grounded in the Andromeda Protocol.
Your metrics are scored against industry standards for your tier and genre. See exactly where you're above average, where you're underperforming, and by how much.
Data doesn't change your career. Decisions do. These are the decisions that get made when you finally have the right context.
An artist was reviewing DSP royalty data across multiple countries and had no framework for understanding which markets were actually performing financially. All they could see was total streams and total revenue.
The Royalty Intelligence module surfaced that one specific country was paying nearly 5× the average per-stream payout compared to every other market — a fact completely invisible inside Spotify for Artists.
The artist launched a targeted Instagram campaign aimed at that country and redirected existing ad spend away from lower-payout markets. Overall stream count dipped slightly — but royalty income for the same number of streams increased by 25%.
An independent artist with 32K monthly listeners was consistently getting skipped in algorithmic playlist consideration. Streams were growing but editorial and Discover Weekly placement remained elusive.
The Metrics Deep Dive benchmark comparison showed the artist's save rate sat at 2.1% — well below the 4.5% industry average for their tier, flagging Save Rate as the primary constraint dragging their algorithmic performance into the below-threshold range.
The artist restructured their pre-save strategy and release communication to actively direct superfans to save before release day. The following release saw a measurable improvement in algorithmic placement and first-week stream velocity.
A manager overseeing three artists noticed one artist on the roster consistently generating new monthly listeners while follower count barely moved. The artist was being found — but not retained.
The Metrics Deep Dive flagged a listener-to-follower conversion gap: high discovery velocity paired with a follower conversion rate below 0.5% — a clear signal that the algorithm was introducing the artist to new listeners who weren't converting into retained audience.
The manager used this insight to prioritize a content strategy focused on follower conversion — artist story, behind-the-scenes, direct follow CTAs. On the next editorial pitch cycle, the improved retention metrics supported a stronger case for playlist consideration.
Spawnpoint Media was founded to create music and manage all content adjacent to those produced works. As the company grew, so did the volume of streaming data — and the tools to make sense of it simply didn't exist in the right form.
The founder — an artist and content strategist managing her own releases — was drowning in royalty statements, streaming dashboards, and metric reports that offered numbers but no context. She didn't know whether her numbers were good. She didn't know which markets were paying her fairly. She didn't know if the actions she was taking were moving the needle — or quietly working against her.
So she built the tools herself. Not as a tech company guessing at what artists need. As an artist solving the exact problem she was living with. The result was Artists Toolkit — built first to make better decisions for her own career, now available for every independent artist, manager, and label who's ever sat with the same confusion.
This isn't a dashboard built to look impressive. It's a toolkit built to produce decisions.
Every week without the right framework is a week of decisions made blind. Streams lost to the wrong markets. Strategy built on guesswork. That stops today.