Chartmetric Financial Model
Media/Gaming Startup Financials (Free Excel Download)
Music analytics SaaS platform that aggregates data from 30+ sources to give labels, artists, managers, and live-sector professionals actionable intelligence for A&R, marketing, playlist positioning, and talent discovery.
professionals from Deloitte
Used by professionals from
About this model
Chartmetric aggregates daily music data from more than 30 services, including Spotify, YouTube, TikTok, Instagram, Pandora, Deezer, and airplay sources. Its profiles, charts, analytics, and insights tools help artists and industry users evaluate audience, playlists, growth signals, and cross-platform performance.
The subscription product has Free, Artist, and Premium tiers: the free offer is a seven-day trial, Artist covers one profile, and Premium unlocks the broader data set. Self-serve conversion is complemented by custom or enterprise services for industry customers, though pricing and seat structures are not disclosed.
The platform holds profiles for more than five million artists and lists all four major label groups among named users, alongside services, agencies, festivals, and distributors. Since the deck redacts ARR and user figures, the model should build cohorts from trial conversion, tier upgrades, churn, data costs, and enterprise expansion.
A turnkey financial model
Live formulas, no hardcoded values
Outputs are driven by live formulas, so the workbook updates from its assumptions instead of relying on hardcoded results.
All assumptions in one tab
Inputs are clearly marked in the Assumptions tab and separated from calculations, making it clear what to change and what to leave intact.
Statements always balancing
For integrated-statement models, the balance sheet, cash flow, and supporting schedules tie through properly.
Distinct schedules for clarity
Debt, working capital, taxes, and cash flow can get messy quickly. We group calculations in clear schedules, not across disconnected tabs.
No hidden macros or external links
There are no unexplained external workbook links or macros to undermine auditability or portability.
Changes flow through the model
Update a key driver and see the impact carry through the forecast, financing, and return outputs. We never use hardcoded numbers in formulas.
About Chartmetric
chartmetric.com
How to build a detailed financial model for Chartmetric
A complete walkthrough of the business, drivers, and assumptions behind the downloadable Chartmetric model - distilled from its pitch deck and publicly available information.
Product & value proposition
- Aggregates daily data from 30+ major platforms (Spotify, YouTube, TikTok, Instagram, Pandora, Deezer, Airplay, etc.) into unified artist, playlist, and chart profiles
- Core modules: Profiles (millions of artists, albums, tracks, playlists), Charts (multi-platform with historical and filtering), Analytics (daily ingestion), Insights (ranking, playlisting, reporting)
- Key features shown in app screenshots: Artist Page, Audience Analysis (demographics, geography, ethnicity, language), Platform Charts, Playlist Page with Playlist Journeys, Artist List with Advanced Filters, A&R Dashboard (30-day growth signals), Neighboring Artists, Custom Reports, Timely Notifications, Exportable charts (PDF/JPEG/CSV/XLS)
- Proprietary CPP (Cross Platform Performance) ranking and Engagement Rank updated daily
- 5M+ artists in the database
- 60,000+ new songs uploaded to DSPs daily cited as the problem that drives demand
- 20,000+ data points per music listener per year tracked
Market
- 2020 global music revenues: $21.6 billion; growth 7.4% overall, 18.5% in paid streaming; 443M paid streaming users (Source: IFPI)
- Revenue by configuration (2020): Digital (streaming + downloads) 68%, Physical 20%, Sync 12%
- Key customer segment revenues (2020): Major Labels $18bn, Indie Sector $5bn, Live Sector $20bn, Artists $2bn, Non-music sector $300bn
- ~$5 billion market for data & analytics services within music industry cited as context
- TAM for Chartmetric: $1.5–$3 billion, broken down as:
- Global major labels (A&R + Marketing only): $6bn total, 10–15% analytics budget = $600–$900mm
- Global indie labels: $2bn total, 10–15% = $200–$300mm
- Artists and managers: $2bn total, 10–15% = $200–$300mm
- Global live music: $20bn total, 5–10% = $500mm–$1bn
- Non-music sector: $300bn total, <1% = $100–500mm
- Market capture potential (relative multipliers vs. current penetration): Major Labels 5x, Indies 25x, Other 25x, Artists 1,000x
Revenue model
- Subscription SaaS with three tiers:
- FREE: 7-day trial, limited access
- ARTIST: Access to one artist profile
- PREMIUM: Full access to all data, charts, and resources
- Specific pricing ($) not disclosed in deck
- Channels: Self-serve (implied by free trial funnel); enterprise/custom likely for major labels (referenced as "custom services" in slide 27)
- No per-seat, usage-based, or API pricing mentioned in deck
Traction & metrics
- Traction slide (slide 25) presents: 2021 Projections, In 2020, In 2019, Users in LTM, YoR ARR Growth - all numeric values are redacted (black placeholder boxes)
- Projected Annual Revenue slide (slide 29) is fully redacted
- Projected Growth by Segment chart (slide 28) is fully redacted
- Named current users include all four major label groups (UMG, Sony, Warner, BMG), Amazon Music, Apple Music, Google, Spotify, YouTube, Facebook, Live Nation, AEG, CAA, WME, Coachella, Roc Nation, Ticketmaster, Berklee, NYU, DistroKid, TuneCore, CD Baby, and ~100+ others
- Only non-redacted quantitative traction: "over 5 million artists" in the platform database
Competition / moat
- SWOT notes: Strengths = "global data consolidation and analytics"; Threats = "amidst competition, become the standard for data metrics"; Weaknesses = "data integrity continuously has to be confirmed"
- Competitive positioning claims: "Chartmetric is the current go-to analytics solution for all of the major labels"; majors would more likely acquire than build competing product
- Data source moat: suppliers rely on Chartmetric's comprehensive data mix for their own market analysis, making data relationship churn unlikely
- No named competitors shown in the deck
Team & funding ask / use of funds
Recommended financial model
- Archetype + why: SaaS ARR model with segment-based subscriber cohorts. Chartmetric is a pure subscription analytics SaaS with three tiers (Free, Artist, Premium) and distinct enterprise customers (major labels) alongside a very large long-tail potential (artists/managers). ARR build-up by tier/segment is the natural structure. A separate enterprise/custom revenue line is warranted given major label relationships.
- Forecast horizon & granularity: 5 years (2024–2028), monthly for Year 1, quarterly for Years 2–3, annual for Years 4–5. Monthly needed to model free-to-paid conversion and churn dynamics.
- Key drivers & assumptions:
*Subscribers & conversion*
- Free trial signups (monthly)
- Free-to-Artist conversion rate
- Artist-to-Premium upgrade rate
- Monthly churn by tier: Free churn ~N/A (trial only), Artist ~4–6%/mo, Premium ~2–3%/mo
- Enterprise (major label) seat count: currently penetrated into all majors; growth via seat expansion 5x
*Pricing (ASP)*
- Artist plan ASP
- Premium plan ASP
- Enterprise ACV
*Market sizing anchors*
- TAM $1.5–$3bn
- Streaming growing ~18.5%/yr; use as proxy for addressable expansion
- Market capture multiples by segment: Majors 5x, Indies 25x, Other 25x, Artists 1,000x - translate to SOM penetration targets
*Costs*
- COGS: data licensing fees from 30+ platform sources
- R&D / Engineering
- S&M: split between self-serve (performance marketing) and enterprise sales team
- G&A
- Gross margin target
- Scenarios (Base / Bull / Bear - which variables flex):
- Bear: Lower free-to-paid conversion (2%), higher churn (Premium 4%/mo), enterprise seat stagnation; pricing pressure from competing products
- Base: Moderate conversion (5%), Premium churn 2.5%/mo, enterprise expands 5x per deck guidance, Artist tier grows via self-serve
- Bull: Artists segment penetrates at even 0.1% of 5M+ artist DB; viral/organic growth drives low CAC; enterprise ACV expansion into live sector and non-music verticals (1,000x capture potential per slide 27)
- Required sheets / outputs:
- Assumptions dashboard (all drivers in one place, switchable by scenario)
- Subscriber cohort model - Free trials → Artist → Premium; monthly new/churned/net by tier
- Enterprise revenue schedule - seat count × ACV by major/indie/live/other segment
- P&L (Revenue, COGS, Gross Profit, OpEx by line, EBITDA, Net Income)
- ARR bridge (opening ARR + new ARR + expansion − churn = closing ARR)
- Cash flow & runway (if funding context emerges)
- Scenario toggle (Bear / Base / Bull)
- KPI summary: ARR, MRR, subscribers by tier, blended ARPU, gross margin %, net revenue retention, LTV/CAC (once CAC data obtained)
Frequently asked
Is the Chartmetric financial model free?+
Yes. The Chartmetric model is a free Excel (.xlsx) download with live formulas. Sign up with your email and the workbook is yours to keep, review, and edit.
What's included in the model?+
A 5-year monthly forecast with P&L, cash flow and runway, valuation (exit multiple plus a DCF cross-check), MOIC/IRR returns, and unit economics, with live formulas throughout.
How was this model built?+
It was built from Chartmetric's pitch deck and publicly available information, then structured to investment-banking standards as a fully editable Excel model.
Can I change the assumptions?+
Yes. You can change assumptions and the live formulas will recalculate in the downloadable Excel model.
Have more financial modelling questions? Contact us
Created by ex-finance professionals
Hey, I’m Alex and I created Finamodel.
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