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Confidential · July 2026 · Prepared by Collective Intelligence

Building the intelligence layer behind the music.

AEI Musicsits on a catalogue of real artistic and commercial value. What's missing is the system to turn that value into consistent, compounding revenue. This proposal sets out how we build it together.

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Before you read on

Watch introduction — 3 min

£2.1B

UK recorded music revenues in 2023

Source: BPI

83%

of UK music revenue now from streaming

Source: BPI

40M+

tracks released per year globally

Source: MIDiA

1%

of artists generate 90% of all streams

Source: MIDiA

Context

Why this matters
right now.

01

The streaming economy has matured

Streaming revenues are no longer growing fast enough to carry labels. The labels that win now are the ones that build intelligence systems — not just distribution.

02

AI has shifted the leverage point

The cost of producing AI-driven audience insight, campaign automation, and sync intelligence has collapsed. Independent labels can now operate with the intelligence layer of a major.

03

Catalogue is underpriced

Most independent catalogues are sitting on untapped sync, licensing, and direct-to-fan potential. The window to build this before the market catches up is now.

04

Founders can't do it all

The creative and commercial demands of running a label have never been higher. The founders who scale are the ones who build systems — not those who try to do everything themselves.

The gap

What we're solving.

The gap between a great catalogue and a great business is an intelligence gap. Most independent labels have the music. What they're missing is the system to turn that music into compounding, measurable commercial value.

  • ×

    Catalogue revenue left untapped — sync, licensing, and direct opportunities not being systematically pursued

  • ×

    No intelligence layer — decisions made without a clear picture of what audiences want, where they are, or what they'll pay for

  • ×

    Marketing is inconsistent — campaigns start and stop based on bandwidth, not strategy

  • ×

    Revenue is unpredictable — no system to identify what compounds and what doesn't

  • ×

    Founder & team time is the bottleneck — the people who should be creating are managing operations

The opportunity

Great music deserves a system behind it.

The most successful independent labels in the next decade will be those that treated their catalogue as a data asset — and built accordingly.

What success looks like

The outcomes we're building toward.

Catalogue monetisation

Untapped revenue activated across sync, licensing, and direct-to-fan

Audience intelligence

A living data picture of who listens, where, and what they value

Marketing automation

Campaigns that run without requiring constant founder attention

Revenue predictability

Systems that turn catalogue into compounding, measurable return

Industry benchmarks

What the numbers show is possible.

These represent industry medians for independent labels with comparable catalogue size and audience profile. Actual results depend on catalogue quality, existing data infrastructure, and execution.

Sync & Licensing

£2,000–£20,000

per placement

Independent labels with an active sync strategy typically secure 5–15 placements per year per 200-track catalogue. TV and documentary placements average £500–£5,000; advertising campaigns £2,000–£20,000. Sync was the fastest-growing revenue stream for UK independents in 2023, up 11%.

Source: BPI 2023 / Music Week

Streaming optimisation

+35%

algorithmic reach within 12 weeks

DSP profile optimisation, editorial pitch submissions, and metadata hygiene consistently deliver a 35% uplift in algorithmic reach. A single successful editorial playlist placement on a 50k-follower list generates 200k–800k additional streams. Consistent release campaigns outperform ad-hoc by 40–60% in first-week numbers.

Source: Spotify for Artists / DistroKid 2024

Direct-to-fan revenue

15–20×

more revenue per fan than streaming

The average Spotify stream returns £0.003–£0.004. A Bandcamp transaction averages £12–£18. An engaged mailing list of 5,000 subscribers returns £0.80–£2.00 per subscriber per year. Even a 1–3% superfan conversion from an existing streaming audience changes the revenue profile materially.

Source: Bandcamp / Mailchimp Music Benchmark 2024

Marketing automation

more consistent release cadence

Labels running automated release campaigns maintain 3× more consistent output than those working manually. Meta ads targeting music audiences deliver 30–80 streams per £1 spent for established artists. Systematic campaign infrastructure compounds — each release builds on the last rather than starting from zero.

Source: Meta for Music / MIDiA Research 2024

The roadmap

How we get there.

00

Weeks 1–3

Discovery & Planning

Deep audit of existing catalogue, revenue streams, audience data, and brand positioning. Includes a full-day in-person workshop (~6 hours) to align stakeholders and surface key insights. Define the strategic baseline.

Deliverables

  • Revenue stream map
  • Audience & market audit
  • Competitive landscape
  • In-person workshop (~6 hrs)
  • Strategic brief

01

Weeks 3–4

Strategy & Architecture

Build the intelligence architecture — data infrastructure, attribution model, and the full-funnel strategy framework.

Deliverables

  • Intelligence architecture
  • Attribution model
  • Full-funnel playbook
  • KPI framework

02

Months 2–3

Build & Launch

Execute on the strategy. Launch campaigns, activate channels, establish rhythms and reporting cadence.

Deliverables

  • Campaign launch
  • Channel activation
  • Reporting dashboard
  • Optimisation loop

03

Month 3+

Scale & Optimise

Systematically scale what works. Expand into new territories, channels, and revenue opportunities based on live data.

Deliverables

  • Scale playbook
  • Territory expansion
  • New channel tests
  • Quarterly reviews

04

Ongoing

Embedded Intelligence

Transition from project mode to embedded partnership. CI becomes a permanent extension of the AEI intelligence function.

Deliverables

  • Embedded team model
  • Continuous optimisation
  • Strategic counsel
  • Annual planning

How we work

The operating model.

Collective Intelligence handles

The intelligence engine

  • Intelligence architecture & data infrastructure
  • Campaign strategy and execution
  • Sync & licensing pipeline
  • Audience growth and acquisition
  • Performance reporting and optimisation
  • Strategic counsel and quarterly reviews

AEI Music focuses on

What only you can do

  • Artistic direction and A&R decisions
  • Catalogue curation and release planning
  • Artist relationships and talent management
  • Label identity and brand voice
  • Partnership and industry relationships
  • Final approval on all strategic decisions

Investment

A phased investment, with a decision point after every stage.

Recommended first commitment

Transition Phase & Planning

£5,000 fixed

AEI owns all outputs. There is no obligation to continue.

Includes

  • Stakeholder interviews
  • Focused knowledge-transfer sessions
  • System and dependency mapping
  • Full-day in-person workshop (~6 hours)
  • Use-case prioritisation
  • Initial operating model
  • Eight-week delivery roadmap
  • Defined scope and pricing for the next phase

Data & Governance Foundation

~£15,000

Approximate — refined after discovery. Undertaken only after the discovery findings have been reviewed and approved. This is where we begin architecting and building the second brain for the business — a living intelligence layer that captures, connects, and surfaces everything AEI knows.

Includes

  • Data-access blueprint
  • Target architecture
  • Second brain architecture & build
  • AI and data policy
  • Security and role-based access model
  • Governance and release process
  • Technical delivery backlog
  • Measurement framework

Prioritised Proof of Concept

~£20,000–£30,000

Approximate — refined after discovery, once the first use case, data requirements and success measures are known. This phase includes exclusive access to LabelOS — CI's proprietary operating system for music labels — configured and deployed specifically for AEI.

Includes

  • One agreed proof of concept
  • LabelOS deployed exclusively for AEI
  • Data integration within the agreed scope
  • User testing
  • Security and governance review
  • Measurement against agreed outcomes
  • Release, iteration or stop recommendation

Managed AI & Data Capability

TBC

An optional ongoing engagement from month three. Some or all of the existing data lead budget could be redirected into this broader managed capability. Initial three-month term, followed by a rolling monthly agreement.

Includes

  • Monthly steering and prioritisation
  • AI and data strategy
  • Technical development capacity
  • Governance and model reviews
  • Knowledge-base management
  • Team support and training
  • Measurement and reporting
  • Continued development of approved use cases

A reallocation of capability investment

This does not necessarily need to be treated entirely as new transformation spend. Following the departure of AEI's data specialist, some or all of the existing role budget could be redirected into a broader managed capability — combining strategy, data, AI engineering and governance while reducing dependency on any one person.

Estimated annual investment

£40,000–£50,000

~£5,000 / month

A single monthly investment covers all phases through to completion and rolls into continuous Managed AI & Data Capability — so AEI is never without strategic, technical, and intelligence support. Only the £5,000 transition phase is committed to initially. Every subsequent phase is separately approved.

Prices exclude VAT, third-party software, cloud usage and any substantial data-platform costs. Any additional expenditure will be agreed before it is incurred.

Potential saving

R&D Tax Relief

Elements of the technical development may be eligible for UK R&D tax relief, potentially reducing the net cost of investment. Eligibility depends on the qualifying technical work undertaken and should be confirmed with AEI's tax adviser.

The programme will document relevant technical uncertainties, experiments, decisions, time allocation and costs from the beginning.

How we operate

Our working principles.

Intelligence first

Every decision is grounded in data. We build systems that surface insight before you need to ask.

Speed over perfection

Music moves fast. We ship, learn, and iterate — not plan for six months.

Founder-aligned

We operate as an extension of your team, not an external vendor. Our incentives match yours.

Long-term thinking

Catalogue value compounds. We build for the asset, not just the campaign.

Today's conversation

What we want to understand.

Use this section to guide the conversation. Select priorities at the bottom and we'll send you a summary of what we discussed.

01

What does success look like for AEI in 12 months?

Not vague growth — a specific picture. Revenue target, team size, catalogue value, key milestones.

02

Which revenue streams are underperforming relative to the catalogue?

Where is the biggest gap between what the catalogue should be generating and what it actually generates today?

03

What does the current data and intelligence setup look like?

What systems exist? What's tracked? What decisions are currently made without good data?

04

Where is founder time going that it shouldn't be?

What operational work is consuming creative and strategic bandwidth? What would you stop doing tomorrow if you could?

05

What's worked before — and what hasn't?

Any past campaigns, partnerships, or initiatives that moved the needle. Any that didn't, and why.

06

What would make this engagement clearly worth it?

The specific outcome — financial, operational, or strategic — that would make you say yes, this was the right call.

Capture your priorities

What matters most to AEI right now?

Select everything that applies. We'll use this to shape what we focus on first.

Send to Chris

Ready to move

Three steps to getting started.

01

Book a call

Confirm needs and priorities we can build and measure together — this is us, now. We'll use today's conversation to align on what success looks like for AEI, what's already working, and where we can move the needle fastest.

02

Agree terms

Once we're aligned on scope and commercial terms, we'll issue a short engagement letter and schedule onboarding.

03

Begin Phase 00

We kick off with the discovery and audit — going deep on the catalogue, data, and market to build a fully informed strategy.

Let's build this together.

The intelligence to turn your catalogue into a compounding asset exists. We're ready to build it.

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