Global E-Commerce Market → $8.1T by 2026TikTok Shop GMV Growing 300% Year-on-YearAI-Native Brands: 40% Lower Customer Acquisition CostDTC Brand Exit Multiples: 4–8× Annual RevenueFamily Offices Collectively Manage $6.4 TrillionPE Fund Average IRR Compressed to 12–14%Direct Investment Allocations Up 34% YoYSocial Commerce CAGR: 28% Through 2028Shopify GMV on Pace to Surpass $300B in 2026AI Supply Chain Optimization: 30% Cost ReductionGlobal E-Commerce Market → $8.1T by 2026TikTok Shop GMV Growing 300% Year-on-YearAI-Native Brands: 40% Lower Customer Acquisition CostDTC Brand Exit Multiples: 4–8× Annual RevenueFamily Offices Collectively Manage $6.4 TrillionPE Fund Average IRR Compressed to 12–14%Direct Investment Allocations Up 34% YoYSocial Commerce CAGR: 28% Through 2028Shopify GMV on Pace to Surpass $300B in 2026AI Supply Chain Optimization: 30% Cost Reduction
Exclusively for Family Offices & Wealth Managers

Your Capital Deserves
An Operating System,Not Another Fund.

PE compresses returns while charging 2&20. Real estate is rate-dependent. Public markets are correlated. We build your family office 100%-owned, AI-native e-commerce brands that generate uncorrelated cash flows and hand you the keys.

No asset-based fees. No black-box reporting. We are paid from profit and realisations, and the complete fee structure is published on this site before you speak to anyone.

GlobalBrands.ai · Private Briefing · Confidential
NDA Required

↑ Private Briefing. Watch Before Requesting Access

$8.1T
E-Commerce by 2026
Global market size
20–30%
Target Net IRR
vs 12–14% PE average
100%
Equity Ownership
No asset-based fees
4–8×
Exit Revenue Multiple
DTC brand acquisitions

Market size: Statista, eMarketer. PE comparison: Preqin Global PE Report. Fee and ownership terms: see Capital Model. Exit multiples: see Due Diligence.

Scroll to Explore
The Status Quo Is Broken

You Are Paying Premium Fees For Compressed Returns.

The family office playbook hasn't evolved in 30 years. Meanwhile, PE returns are compressing, lock-ups are lengthening, and the denominator effect is destroying your allocation flexibility. The data is unambiguous.

UBS Family Office Report 2024
0%

of Family Offices report dissatisfaction with PE/VC transparency

Preqin Global PE Report
0%

Average PE fund IRR in 2024, down from 18% a decade ago

Cambridge Associates LP Survey
0 yrs

Average PE lock-up destroying your capital optionality

Campden Wealth Global Survey
0%

of Family Offices are increasing direct investment allocations in 2026

Side-by-Side Comparison

Traditional PE vs GlobalBrands.ai

Capital Lock-Up
Traditional PE / VC
7–10 years
GlobalBrands.ai
36–60 months
Fee Basis
Traditional PE / VC
2% of assets + 20% carry
GlobalBrands.ai
No asset-based fee. Profit and exit share only
Portfolio Visibility
Traditional PE / VC
Quarterly PDF
GlobalBrands.ai
Real-time dashboard
Ownership
Traditional PE / VC
LP minority stake
GlobalBrands.ai
100% equity
Operational Control
Traditional PE / VC
Zero input
GlobalBrands.ai
Full transparency
Exit Timing
Traditional PE / VC
GP decides
GlobalBrands.ai
You decide
"

The greatest threat to a Family Office isn't market volatility. It's the compounding cost of misaligned incentives and intellectual stagnation.

The Generational Mandate · GlobalBrands.ai Research
The 2026 Thesis

E-Commerce Is the New Private Equity.Without the Middlemen.

The e-commerce market is approaching $8.1 trillion by 2026. AI has permanently lowered the cost of building, scaling, and exiting consumer brands. This is the single greatest uncorrelated asset class available to family offices today.

Global E-Commerce Market
$8.1T by 2026
28% CAGR through 2028 · Source: Statista, eMarketer
+39.7%
vs 2023
$4.2T
$4.9T
$5.2T
$5.8T
$6.8T
$7.4T
$8.1T
$9.2T
$13T
2020
2021
2022
2023
2024
2025
2026
2027
2030
Historical Projected 2026 Target
Why 2026 Is the Inflection Point
AI Permanently Lowers the Cost of Entry
Product research, creative production, ad optimization, supply chain management. AI handles all of it at 10% of the traditional cost. A $200K investment now does what $2M did in 2019.
TikTok Shop Is Rewriting the Rules
GMV growing 300% year-on-year. Brands that would take 3 years to scale on Meta can go from zero to $1M/month in 90 days on TikTok Shop. The window is open now.
Acquirer Appetite Is at Record Highs
Thrasio, OpenStore, Razor Group, and 200+ aggregators are actively paying 4–8× annual revenue for profitable e-commerce brands. Your exit path is pre-validated.
Uncorrelated to Public Markets
E-commerce brand cash flows are driven by consumer spending, not rate cycles or equity sentiment. Pure portfolio diversification that traditional asset managers cannot offer.
What AI Changes

The AI Advantage: By the Numbers

40%
Lower Customer Acquisition Cost
vs traditional advertising
30%
Supply Chain Cost Reduction
via AI demand planning
25%
Higher Conversion Rate
via personalization at scale
4–8×
Revenue Exit Multiples
DTC brand acquisitions 2024
Platform Architecture

We Build Across All Three Pillars

Primary
+19% YoY
Shopify
$235B
GMV in 2024
The world's largest commerce infrastructure. DTC at scale.
Explosive
+300% YoY
TikTok Shop
$50B+
Projected 2026 US GMV
Fastest-growing commerce platform in history. Zero-to-scale in 6 months.
Distribution
Built-in audience
Amazon
$700B
3P seller marketplace
Unmatched distribution. Instant credibility. Prime ecosystem access.
Investment Distribution Model
See exactly how capital is deployed, structured, and returned across every brand.
Access the Capital Model
The Friction Audit

Where Traditional Models Fail You

We have identified 8 critical structural failures in the current Family Office playbook. Our platform was engineered to solve every single one.

8
Structural Failures
Identified & Solved
100%
Capital Saved
Zero Mgmt. Fees
100%
Ownership Returned
Full Equity Control
01
The Fee Drain
Fees & Structure
The Friction

"2 & 20" structures erode your capital base regardless of performance. You pay to participate, not to win.

Capital Impact95% risk
The Remedy
Paid From Profit, Not Assets

No annual fee on your capital. We earn from profit share and realisations, so we are paid when the brands are. Full fee schedule published, not disclosed late.

Risk Resolved100%
02
The Control Void
Ownership
The Friction

As a fund LP, you are a passenger. You have zero say in strategy, operations, or exit timing.

Capital Impact92% risk
The Remedy
100% Ownership

You own the asset. You own the IP. You are the Principal, not the passenger.

Risk Resolved100%
03
The Execution Cliff
Operations
The Friction

Direct investing has a 90% failure rate because Family Offices lack specialized AI execution expertise.

Capital Impact90% risk
The Remedy
Done-For-You Foundry

Our AI-Native team handles 100% of operations. You have 0% operational burden.

Risk Resolved100%
04
The Liquidity Trap
Liquidity
The Friction

Traditional PE locks your capital for 7–10 years. Your money is held hostage by their timeline.

Capital Impact78% risk
The Remedy
Flexible Horizons

We target 36–60 month exits, but ultimately YOU control when to sell or hold.

Risk Resolved100%
05
The AI Blindspot
Technology
The Friction

Most portfolios have zero exposure to Applied AI. You are betting against the biggest shift in history.

Capital Impact88% risk
The Remedy
Native Intelligence

We build assets that run on Compounding Intelligence. We are not just using AI, we are native to it.

Risk Resolved100%
06
The Black Box
Transparency
The Friction

Quarterly PDF reports that hide the truth. You never know the real health until it's too late.

Capital Impact72% risk
The Remedy
Radical Transparency

Real-time, 24/7 dashboards for every single asset. You see exactly what we see.

Risk Resolved100%
07
Fragile Logistics
Risk
The Friction

Geopolitical instability and single-source dependency (China) create massive Black Swan risks.

Capital Impact65% risk
The Remedy
Resilient Chains

AI-managed multi-node, non-China logistics. Built for resilience by design.

Risk Resolved100%
08
Yield Stagnation
Returns
The Friction

Accepting 7–8% returns in a high-inflation world is a losing strategy. It fails the Generational Mandate.

Capital Impact85% risk
The Remedy
Asymmetric Upside

We target 20–30% IRR and 3–5x MOIC by compounding revenues, not just holding assets.

Risk Resolved100%
The New Paradigm

The AI-Powered Operating Partner

We are not a fund. We are a technology-powered operating system. This distinction is critical, and it changes everything about how your capital compounds.

A Technology OS

Not a Fund

A fund pools capital and relies on discretionary judgment. Our operating system uses a repeatable, scalable, data-driven process to produce predictable outcomes, eliminating the human variability problem entirely.

Core Model
Manufacturing Cash-Flows

The Digital Factory

We don't produce abstract financial returns; we manufacture tangible, 100%-owned, cash-flowing brands on your behalf. Every brand is a precision-engineered asset with a compounding revenue architecture.

End-to-End AI Integration

The Stack

Our proprietary AI stack handles every stage of the manufacturing process, from market analysis and brand creation to supply chain automation. This disintermediates the traditional fund structure entirely.

The Perfect Alignment

The Core Promise

This is the synthesis of the model. It resolves the central paradox that paralyzes modern family office investing: you can either have control or you can have ease, but not both. We give you both.

Learn how it works
100%
Equity Ownership
You own every asset
0%
Operational Burden
We handle everything
Strategic Analysis

The 10 Core Mandates Solved

Every structural challenge facing modern Family Offices. Mapped, categorised, and solved.

10
Mandates Solved
Every structural failure
9
Asset Categories
Full portfolio coverage
100%
Resolution Rate
No mandate left unsolved
💸
01
Structure

The Fee Dilemma

Problem: 2 & 20 on assets

Solution: No fee on your capital. We are paid from profit and realisations, disclosed in full upfront.

✓ SOLVED
⚙️
02
Operations

The Execution Dilemma

Problem: High Operational Burden

Solution: "Done-For-You" Factory Model. 0% Burden.

✓ SOLVED
📈
03
Returns

The Generational Mandate

Problem: Low Yields

Solution: 20–30% Target IRR. Technology-forward for NextGen.

✓ SOLVED
🧠
04
Technology

The Thematic Imperative

Problem: Speculative AI

Solution: "Applied AI" (Picks & Shovels). Real cash flow, not hype.

✓ SOLVED
🏛️
05
Ownership

The Legacy Mandate

Problem: Passive Custody

Solution: Become "Business Builders" again. Direct ownership of brands.

✓ SOLVED
🔧
06
Infrastructure

The Operational Mandate

Problem: Data Complexity

Solution: Centralized, AI-powered infrastructure. Institutional execution.

✓ SOLVED
👁️
07
Transparency

The Governance Mandate

Problem: Opaque Reporting

Solution: Radical Transparency. Real-time per-asset dashboards.

✓ SOLVED
🔀
08
Risk

The Diversification Mandate

Problem: High Correlation

Solution: New Asset Class. Low correlation to public markets.

✓ SOLVED
🛡️
09
Risk

The Resilience Mandate

Problem: Supply Shock

Solution: AI-driven agility. Redundant, non-China supply chains.

✓ SOLVED
🔓
10
Liquidity

The Liquidity & Exit Dilemma

Problem: 10-Year Lockups

Solution: Flexible 36–60 month horizons. You control the exit strategy.

✓ SOLVED
The Engine

Flywheel 2.0

We have engineered the next generation of the Capital Flywheel. A system that transforms Intelligence into Compounding Growth.

Phase 01: Discover
89%
Success Rate

A Smart System

We do not guess. Traditional VC is gambling. We use AI to analyze billions of data points to find what customers already want, before committing a single dollar.

  • Identifying Product-Market Fit
  • Cloning Proven Winners
  • Zero-Risk Validation
Phase 02: Compound
Tax-Free
Reinvestment

Compounding Value

The Snowball Effect. We use a proprietary "Playbook" where profits are reinvested back into the business tax-efficiently, creating a compounding flywheel.

  • Profit → Reinvestment → Growth
  • Tax-Deferred Compounding
  • Cross-Brand Data Synergies
Phase 03: Accelerate
10x
Speed to Market

AI Efficiencies

Speed = Value. AI manages the supply chain, designs the creative, and optimizes ads in real-time. This makes the process 10x faster and 70% cheaper than traditional methods.

  • Auto-Creative Generation
  • Supply Chain Prediction
  • Dynamic Pricing Models
The Financials

The "Compounding Growth" Playbook

We prioritize long-term Enterprise Value over short-term profit taking. Reinvestment, technological dominance, and tax-efficient compounding.

Targeted Performance Metrics
0%
Target IRR
20–30% Range
0x
Target MOIC
4–5x Range
0 mo
Target Horizon
36–60 Month Exit Window
0%
Asset-Based Fees
Paid from profit, not AUM
What these targets rest on
Downside4–8%

Acquisition costs rise, one or more brands fail to reach profitability, exit multiples stay compressed. Capital is returned slowly or partially.

Base case12–18%

Most brands reach profitability on schedule, one materially outperforms, exits clear at the lower end of current market multiples.

Target case20–30%

Validation converts at expected rates, contribution margin holds as spend scales, and at least one brand exits at a premium multiple.

A target is an objective, not a projection and not a guarantee. For context, average family office return expectations fell from roughly 11% in 2024 to around 5% for 2025, and a meaningful minority now expect a negative outcome. Any target well above that range deserves harder scrutiny, not less. Ask us for the full sensitivity model and read the Risk Disclosure before relying on any figure here.

01

Systematic Reinvestment

Profits from Brand A become the seed capital for Brand B. This creates a virtuous, self-funding cycle of geometric growth.

02

Geometric Growth

An arithmetically growing portfolio adds value. A geometrically compounding portfolio multiplies it. The difference is exponential.

03

Enterprise Value Capture

We prioritize long-term EV over short-term profit taking, building assets that command premium exit multiples at sale.

20–30% Target IRR3–5x MOIC100% Equity OwnershipNo Asset-Based Fees36–60 Month Exits89% Validation Success RateAI-Native OperationsZero Operational BurdenReal-Time DashboardsTax-Efficient Compounding20–30% Target IRR3–5x MOIC100% Equity OwnershipNo Asset-Based Fees36–60 Month Exits89% Validation Success RateAI-Native OperationsZero Operational BurdenReal-Time DashboardsTax-Efficient Compounding
By The Numbers

The Model Speaks for Itself

0%
Validation Rate
AI-verified product-market fit
0%
Asset-Based Fees
We are paid from profit, not AUM
0%
Equity Ownership
You own every asset, always
0x
Faster to Market
AI vs traditional methods
How it works · 4 steps
1
Capital Committed
You allocate and retain 100% ownership
2
AI Builds Your Brand
Our team executes. Zero burden on you
3
Revenue Compounds
Profits reinvested tax-efficiently
4
Exit on Your Terms
You control the sale timing and terms

"The Digital Annuity is the first instrument that gives Family Offices the returns of Venture Capital, the control of Real Estate, and the predictability of Bonds, simultaneously."

GlobalBrands.ai Investment Thesis
20–30% Target IRR3–5x MOIC100% Equity OwnershipNo Asset-Based Fees36–60 Month Exits89% Validation Success RateAI-Native OperationsZero Operational BurdenReal-Time DashboardsTax-Efficient Compounding20–30% Target IRR3–5x MOIC100% Equity OwnershipNo Asset-Based Fees36–60 Month Exits89% Validation Success RateAI-Native OperationsZero Operational BurdenReal-Time DashboardsTax-Efficient Compounding
Live Performance Attribution
The Outcome

Engineering Durable Enterprise Value.

We do not build "cash grab" stores. We build institutional-grade data assets. By owning the customer relationship and supply chain data, we create a defensive moat that creates value far beyond simple cash flow.

The Data Moat

Every interaction feeds our proprietary "Knowledge Graph." As the portfolio grows, customer acquisition costs drop and retention rises. An algorithmic advantage traditional PE cannot replicate.

Sticky, Recurring Relationships

We transform transactional buyers into brand loyalists. With a 92% retention rate strategy, revenue quality shifts from "one-off" to "quasi-subscription," commanding higher exit multiples.

Institutional Infrastructure

Real-time dashboards, AI-managed operations, and continuous optimization. Your capital is backed by infrastructure that most institutional managers can only dream of.

Performance Attribution

YTD 2024
Paid Social (Meta/TikTok)34%
Organic & SEO22%
Email & Retention Flows19%
Amazon FBA Channel15%
Influencer & Affiliate10%
Portfolio IRR
26.3%
+4.1%
Monthly Revenue
$3.8M
+18.7%
Active Brands
10
3 scaling
Avg. ROAS
4.2x
+0.6 MoM
Revenue Trend · 12 Months+142% YoY
Jul '23Jan '24Jun '24
GB_OS · Dashboard v4.2
LIVE
Portfolio Val.
$42.8M
+22.4%
MoM Growth
14.2%
+2.1%
Active SKUs
842
12 brands
$300k
10:42:01ORDER_OKOrder #88219 captured via Organic Search
10:42:05INV_UPDATERestock initiated for SKU-992 (Predictive)
10:42:12AD_OPTIROAS increased to 4.2x on Campaign B
10:42:18ORDER_OKOrder #88220 captured via Email Flow
10:42:24LTV_ALERTCohort B crossed $500 LTV threshold
Fig 2.1. Real-Time Partner Dashboard
System Live
Client Portal · Live Preview

Your Portfolio, Visible 24 / 7 / 365.

No more waiting for quarterly PDFs. As a GlobalBrands.ai partner you receive immediate access to a live client dashboard with 9 pages of real-time intelligence covering every metric that matters.

GlobalBrands.ai/ Client Portal
Live
IRR 26.3%
AR
Active Portfolio
Al-Rashid Family
● 10 Brands
Portfolio
Overview
Brands
Analytics
Funnel
Performance
Channels
Finance
Financials
Capital
Ops
Operations
Reports
Portfolio Value
$42.8M
↑ +22.4% YTD
Avg. IRR
26.3%
↑ +4.1% MoM
Active Brands
10
3 in launch
Capital Deployed
$2.0M
78% of AUM
Monthly Revenue$3.2M this month ↑
Brand Status
LuminaHomeScale
AuraFitGrowth
VertexPetLaunch
CozyNestScale
PeakFlowGrowth
Avg. ROAS4.2×
Avg. CAC$28
Total MER3.8×
OverviewFunnelPerformanceChannelsFinancialsCapitalOperationsReports9 pages total →

↑ Live Client Dashboard. Actual UI. Updated in Real-Time

9 Pages of Intelligence

Everything Your Family Office Needs to Know

Real-Time Portfolio Tracking

24/7 live data across all 10 brands. Revenue, ad spend, margins, ROAS, CAC, LTV. Updated continuously.

Conversion Funnel Intelligence

Session → ATC → Checkout → Purchase tracking per brand. Drop-off analysis and cost-per-stage metrics.

Multi-Platform Analytics

Shopify, TikTok Shop, and Amazon revenue broken down side-by-side. Platform efficiency at a glance.

Capital Deployment Tracker

Visualise exactly how your capital is staged, deployed, and compounding across every brand in real-time.

Client-Grade Financials

P&L, margin trends, ad spend vs revenue. All in one view. Built for family office reporting standards.

Automated Report Generation

Monthly memos, quarterly summaries, and exit analysis. Downloadable in one click. No more PDF hunting.

Access the Full Portal

See the Actual Dashboard Now

Click through to the full Client Portal and explore all 9 sections: Overview, Brands, Funnel, Performance, Channels, Financials, Capital, Operations, and Reports.

The Asset Class

The "Digital Annuity"

A new hybrid instrument engineered for the post-interest rate era. It combines the Safety of Bonds, the Tax Benefits of Real Estate, and the Upside of Venture Capital.

Real Estate
4–8%
Low (Years)
Moderate
Low / Med
Private Equity
12–14%
Locked 7–10yr
None (LP)
High + 2&20 Fees
Public Equities
8–10%
High (Instant)
None
Volatile
Digital AnnuityBest
20–30%
Medium (36mo)
100% Owned
Managed / AI

Cash Flow Native

Unlike VC which relies on a theoretical exit event, these assets produce monthly free cash flow from Day 1.

Inflation Hedge

Digital goods have near-zero marginal cost. We adjust pricing in real-time to outpace CPI inflation.

Tax Efficiency

Reinvesting profits into inventory and ad-spend is fully tax-deductible, allowing for tax-deferred compounding.

Sovereign Control

You are not a passenger in a fund. You own the IP, the data, and the bank account. Total sovereignty.

The Comparison You Were Going to Make Anyway

We Know What This Sounds Like.

Say “e-commerce brands, AI-native, target IRR” in an investment committee and two comparisons arrive before you finish the sentence. Both are legitimate reference points. Here is where we genuinely differ, and where we do not.

Amazon Aggregators
Thrasio and roughly 100 peers

Raised roughly $16B, much of it debt, to acquire existing Amazon sellers at speed and consolidate them.

Capital use
Debt-funded acquisition of existing sellers
Primary risk
Leverage plus integration of inherited liabilities
Founder role
Brief handover, then departure
Pace discipline
Acquisition pace outran operating capacity
What happened

Widespread distress and restructuring. Thrasio filed Chapter 11 in February 2024 after burning about $3.4B, despite backing from major institutional investors.

"Done For You" Schemes
Multiple FTC enforcement actions

Sell prebuilt storefronts and AI-powered automation to individuals, typically for fees between $2,000 and $35,000, with promises of passive income.

Capital use
Upfront fee paid to the promoter
Primary risk
Promoter is paid whether or not you profit
Founder role
Anonymous or frequently rebranded operators
Pace discipline
Volume of buyers, not operating capacity
What happened

At least four operators shut down by the FTC in the last two years, with bans and multi-million-dollar restitution orders. This is the category our vocabulary can be mistaken for, so we name it.

GlobalBrands.ai
Build and operate, client owns equity

Capital is deployed into building new brands on validated demand. The client holds 100% of the equity in a company registered in their name.

Capital use
Deployed into building, no acquisition debt
Primary risk
Execution and platform dependency, not leverage
Founder role
Named operating team, continuous, key-person risk sits with us
Pace discipline
Intake limited by team capacity, published upfront
Where we stand today

No realised exit from a brand we built has yet occurred. That is the honest position, and it is the most important limitation on this page.

On Micro PE funds

Established operators such as WebStreet run a Micro PE model, raising capital to buy and operate existing online businesses, with public case studies and open FAQs. It is a real, working structure and a fair comparable. The difference is direction: they buy cash-flowing businesses and optimise them; we build new ones against validated demand. Buying gives you revenue on day one and an acquisition price to earn back. Building gives you no revenue on day one and no price to earn back. Neither is strictly better, and which suits you depends on whether you are underwriting operator skill or entry multiple.

What we cannot claim
  • We have not yet completed a realised exit from a brand we built. Our evidence is operating performance, not exit performance.
  • The billion-dollar brands cited elsewhere on this site are third-party companies. We did not build, fund, or operate any of them.
  • Target returns are objectives derived from a model, not results. Family office return expectations fell sharply between 2024 and 2025, and ours should be tested against that backdrop.
  • Structural differences reduce the specific failure modes above. They do not remove category risk.
See the full diligence disclosure

Aggregator failure analysis drawn from RollUpEurope, Hahnbeck M&A, and public reporting on Thrasio’s Chapter 11 filing. Enforcement actions referenced are matters of public record published by the US Federal Trade Commission.

Common Questions

Everything You Need to Know.

Transparent answers to the questions investors ask most.

You own 100%. Brand, stores (Shopify, TikTok Shop, Amazon), trademarks, bank accounts. All under your name. We are your operational partner.

Service fee (paid to us for execution) + Business expenses (paid directly by you: inventory, marketing, logistics). No third-party company holds your investment.

The brand and store, all inventory and supply chain, all revenue and profits, digital and marketing assets, business registration and bank accounts. 100% yours.

You have full control. We provide detailed P&L statements, cash flow analysis, and financial reporting. You handle tax filing (we guide on best practices).

Projections are built bottom-up from operating data across the accounts we run: customer acquisition cost, conversion rate, average order value, contribution margin, and working-capital cycle, then applied to a launch curve. They are a model, not a forecast of your outcome. Every input can move against us, and the same model run with a higher acquisition cost or a lower exit multiple produces materially worse results. Ask us for the sensitivity table rather than the headline number, and read the Risk Disclosure before relying on any figure on this site.

Brokered marketplaces such as Empire Flippers and Quiet Light typically list e-commerce businesses in a 25 to 45x monthly profit band, roughly 2 to 4x yearly EBITDA. Two caveats matter. Listing multiples are asking prices, not completed transactions, so ask a broker for closed comparables in the relevant category and size band. And aggregator demand has contracted materially since 2021, which has pulled realised multiples down. A brand may sell well below this band, or not sell at all.

$100K per brand, $1M recommended (10 brands). Staged deployment: $15K testing → $15-17K launch → remainder as scaling buffer. Revenue starts by Month 3.

200+ clients since 2019. 50-70 new brand launches from scratch. Remaining were existing brands we optimized and scaled.

Yes. Our model is open to family offices and wealth managers in the United States, United Kingdom, and UAE. We never take custody of your capital: you register and own your own entity in your own jurisdiction, and we operate the brand as your services provider. All figures on this site are in USD unless stated otherwise.

Verified Track Record

Real Results. Built By Our Team.

Below are verified Amazon portfolio results from active client accounts managed by our team, alongside the billion-dollar brand blueprints that define how we build and scale every brand.

Every brand we build follows the same operating framework: validated demand, AI-native execution, full client ownership, and a clear exit path.

The Blueprint We Follow

We Don't Invent. We Clone Proven Winners.

The Samwer Brothers (Oliver, Marc and Alexander) built a $3B+ empire (Rocket Internet) without inventing a single product. Their method: identify a proven US digital business, clone the model with surgical precision, execute faster in new markets.

They cloned eBay → Alando (sold to eBay for $43M in 100 days). They cloned Airbnb → Wimdu. They cloned Zappos → Zalando (IPO'd at €5.7B). Not by being smarter. By being methodical.

"We are not inventors. We are engineers of proven models."

The Rocket Internet Philosophy

AI-Validated Demand

Before a single dollar is spent, our AI stack analyses search volume, competitor ROAS, margin profiles, and customer LTV across 40+ data points. We only launch what the market already wants.

Clone Proven Brand Architectures

We reverse-engineer the top 1% of e-commerce brands: their positioning, creative angles, price points, and supply chains. Then rebuild with improvements. Every brand launches from a position of validated strength.

AI Accelerated Execution

Where the Samwers used speed of human execution, we deploy AI. Autonomous ad optimisation, AI copywriting, predictive inventory, and real-time margin management. Years of learning compressed into weeks.

Third-Party Market Benchmarks

Brands That Changed Everything

The billion-dollar playbooks we study when designing a launch.

These are not our companies.

Gymshark, MVMT, Beardbrand, and Allbirds are independent third parties. We did not found, fund, operate, or advise any of them, and we hold no interest in any of them. They are cited only as publicly documented examples of what this category has produced. Their outcomes are not our track record and predict nothing about results we can achieve. Our own operating data is in the section below, clearly separated.

Gymshark product photo, third-party market example
Fitness Apparel
£1.45B
Peak Valuation
£500M+
Annual Revenue
£130M
EBITDA (2023)
Founded 2012

Gymshark

From a garage to a billion-dollar empire. In 8 years.

Ben Francis started Gymshark in 2012 from his parents' garage in Birmingham with £1,000 and a screen-printing machine. He identified a gap: the market had no premium fitness apparel that actually fit athletic bodies. Rather than compete on price, he went direct-to-consumer via social media before it was a strategy. By 2020, General Atlantic invested at a £1 billion valuation with no traditional retail stores involved.

DTCSocial-FirstNo RetailInfluencer Model
The Mechanism

DTC via social media + influencer seeding. No retail stores. Pure digital brand velocity.

Why This Proves Our Model

This is our model applied to apparel. Proven demand + digital-first execution + no legacy overhead = category dominance.

MVMT Watches product photo, third-party market example
DTC Accessories
$300M
Acquisition Price
1,000x
Exit Multiple
4 Years
Years to Exit
Founded 2013

MVMT Watches

No factory. No store. A $300M exit in 4 years.

Jake Kassan and Kramer LaPlante launched MVMT in 2013 with $300,000 raised on Indiegogo. The insight was simple: fashion watches were massively overpriced by retail markups. By cutting out every middleman and selling direct, they offered premium aesthetics at a fraction of the cost. In 2018, Swiss luxury group Movado acquired MVMT for $300M. That is a 1,000x return on founding capital.

CrowdfundingFacebook AdsSKU DisciplineLuxury Exit
The Mechanism

Crowdfunding-to-DTC pipeline. Facebook/Instagram as primary acquisition channel. SKU discipline with few, high-converting products.

Why This Proves Our Model

Proof that a small, focused brand with tight SKUs and paid social can outperform legacy players 100x their size. Our model uses the same playbook, applied digitally.

Beardbrand product photo, third-party market example
Men's Grooming
$7M+
Annual Revenue
80%+
Gross Margin
2M+
Subscribers
Founded 2012

Beardbrand

Built on YouTube. Profitable from Day 1.

Eric Bandholz launched Beardbrand in 2012 with $30 and a Tumblr blog. He understood that men's grooming had no premium digital-native brand. Using YouTube content marketing before content marketing had a name, he built an audience of 2 million subscribers and converted them into a loyal customer base. The brand was profitable within months and has never taken external capital, generating $7M+ in annual revenue with 80%+ margins on hero SKUs.

Zero Ad SpendContent EngineSubscriptionHigh Margin
The Mechanism

YouTube-first content engine. Zero ad spend in Year 1. Organic audience compounding. Subscription revenue for predictable base.

Why This Proves Our Model

The "annuity" model made real: high-margin consumables + subscription = predictable, growing cash flows. This is what AI-powered brand management replicates at scale.

Allbirds product photo, third-party market example
Sustainable Footwear
$1.4B
IPO Valuation
$120K in 4 days
Campaign Raised
5 Years
Years to IPO
Founded 2016

Allbirds

$50M crowdfunded. $1.4B IPO. One SKU.

Tim Brown and Joey Zwillinger launched Allbirds in 2016 with a radical concept: one shoe, made from wool, designed for simplicity. The entire first campaign was a single Kickstarter raising $120K in four days. By 2021 they IPO'd on NASDAQ at a $1.4 billion valuation. The insight was not sustainability. It was conviction. They believed one great product, marketed with a clear narrative, beats a hundred mediocre ones.

KickstarterHero SKUNarrative BrandNASDAQ IPO
The Mechanism

Kickstarter product validation → DTC brand building → retail adjacency. Single hero SKU then SKU expansion from position of strength.

Why This Proves Our Model

Proof of the product conviction principle. We identify one validated product per brand, builds authority around it, then expands. Exactly this playbook, with AI-accelerated validation.

Proof of Results

The Dashboards Behind The Brands We Build.

Live client accounts operated by our team across Amazon, Shopify, and TikTok Shop. Every screenshot below is taken unedited from the platform's own seller dashboard.

How to read these numbers

These are accounts our team runs, shown at account level and before portfolio-level fees are applied. Figures are platform-reported and are not independently audited unless expressly stated. Client identities are withheld at their request and can be verified under NDA, including by live screen-share rather than exported images. Strong periods are shown here; ask us for the full account list, including the ones that underperformed.

Amazon

7 brands

Account launches, listing and PPC builds, and full turnarounds on Seller Central.

Portfolio Account 01, Amazon USA performance dashboard screenshotScaling

Portfolio Account 01

Amazon USA
$50.08KThis month
+266%vs. last month
USAMarketplace
What we did

Rebuilt the PPC structure and listing set on a US Amazon account coming off a slow stretch, prioritising the highest-intent search terms first.

Now

This month's sales already sit at $50.08K, up 266% over last month.

Portfolio Account 02, Amazon USA performance dashboard screenshotScaled

Portfolio Account 02

Amazon USA
$543.5KLast 30 days
+337%vs. prior 30d
+204%vs. last year
What we did

Took a mature Amazon USA account through an aggressive PPC and catalog expansion push to capture demand ahead of peak season.

Now

$543.5K in sales over the last 30 days, up 337% on the prior period and 204% year over year.

Portfolio Account 03, Amazon USA performance dashboard screenshotScaled

Portfolio Account 03

Amazon USA
$150.0KLast 30 days
+21%vs. prior 30d
+183%vs. last year
What we did

Managed full-funnel advertising and listing optimisation on a consistently performing Amazon USA account, compounding growth month over month.

Now

$150.0K in sales over the last 30 days, up 21% on the prior period and 183% year over year, with 415 units moving on a single day inside the window.

Portfolio Account 04, Amazon USA performance dashboard screenshotScaled

Portfolio Account 04

Amazon USA
$150.1KLast 30 days
+137%vs. prior 30d
+453%vs. last year
What we did

Ran a summer push across advertising and inventory planning on a US Amazon account, converting seasonal demand into sustained order volume.

Now

$150.1K in sales over the last 30 days, up 137% on the prior period and 453% year over year.

Portfolio Account 05, Amazon USA performance dashboard screenshotScaling

Portfolio Account 05

Amazon USA
$134.9KLast 7 days
+143%vs. prior 7d
+155%vs. last year
What we did

Compressed a seasonal advertising push into a single week on this Amazon USA account, timing spend around a proven demand spike.

Now

$134.9K in sales over the last 7 days alone, up 143% week over week and 155% year over year.

Portfolio Account 06, Amazon USA performance dashboard screenshotManaged

Portfolio Account 06

Amazon USA
$174.4KMonthly sales
$109.4KEst. payout
$29.3KGross profit
What we did

Handled full account operations for the month, from order fulfilment through refund management, on an established Amazon USA account.

Now

Closed the month at $174,442 in sales across 3,644 orders, with $109.4K in estimated payout and $29.3K in gross profit after refunds.

Portfolio Account 07, Amazon USA performance dashboard screenshotScaled

Portfolio Account 07

Amazon USA
$100.2KLast 30 days
+184%vs. prior 30d
$4,768Sales today
What we did

Rebuilt advertising structure and pricing strategy on this Amazon USA account, holding a healthy store status while scaling spend.

Now

$100.2K in sales over the last 30 days, up 184% on the prior period, with $4,768 in sales and 32 units ordered today alone.

View the full Amazon results folder

Shopify

8 brands

Direct to consumer stores built and scaled with paid social, email, and conversion work.

Shopify Portfolio 01, DTC Launch performance dashboard screenshotLaunched

Shopify Portfolio 01

DTC Launch
kr13,109Sales yesterday
+56%vs. prior day
+37%Orders growth
What we did

Launched on the same test, validate, and launch model we run every store on, going live and crossing its first 10 orders inside the first stretch.

Now

kr13,109 in sales yesterday alone, up 56% day over day with orders up 37%, now scaling under client ownership.

Shopify Portfolio 02, DTC Scaled performance dashboard screenshotScaled

Shopify Portfolio 02

DTC Scaled
€296.8KMonthly revenue
€119.3KMonthly profit
2.42xROAS
What we did

Validated the offer, then scaled paid social spend month over month once margins held, using the same test, validate, and launch model across every brand we build.

Now

€296,769 in revenue for the month with €119,282 in profit at a 39.9% margin and a 2.42x return on ad spend, now scaling under client ownership.

Shopify Portfolio 03, DTC Launch performance dashboard screenshotLaunched

Shopify Portfolio 03

DTC Launch
€1,110Profit, day 8
2.64xROAS
24%Profit margin
What we did

Early-stage launch under the same test, validate, and launch model, tracking daily profit and ROAS from day one to confirm the offer before scaling spend.

Now

Already profitable within the first week, holding a 2.64x ROAS and 24%+ margins by day 8, now scaling under client ownership.

Shopify Portfolio 04, DTC Scaled performance dashboard screenshotScaled

Shopify Portfolio 04

DTC Scaled
$12.4KGross sales (1d)
+86%vs. prior day
205Orders fulfilled
What we did

Scaled fulfilment and retention alongside paid acquisition on this store, built through the same test, validate, and launch model as every brand in the portfolio.

Now

$12,391 in gross sales in a single day, up 86%, with 205 orders fulfilled and a 17.4% returning customer rate, now scaling under client ownership.

Shopify Portfolio 05, DTC Scaled performance dashboard screenshotScaled

Shopify Portfolio 05

DTC Scaled
€61.9KSales (3 days)
+415%Growth spike
50+Orders to fulfil
What we did

Rode a demand spike on this store after validating the offer under our standard test, validate, and launch model, then pushed spend to capture it.

Now

€61,918.98 in sales across a single 3-day window, up 415%, with 50+ orders queued for fulfilment, now scaling under client ownership.

Shopify Portfolio 06, DTC Launch performance dashboard screenshotLaunched

Shopify Portfolio 06

DTC Launch
$5,496Sales yesterday
+59%vs. prior day
5.85%Conversion rate
What we did

Launched and validated under our standard test, validate, and launch model, converting early visitor traffic into consistent daily orders.

Now

$5,495.93 in sales yesterday, up 59% day over day at a 5.85% conversion rate, now scaling under client ownership.

Shopify Portfolio 07, DTC Scaled performance dashboard screenshotScaled

Shopify Portfolio 07

DTC Scaled
$7.26MSales (30 days)
$2.62MAd spend (30d)
+27.4%Ad spend growth
What we did

Took this brand from a validated small-scale offer to a seven-figure monthly run rate using the same test, validate, and launch model applied across the whole portfolio.

Now

$7,261,201 in sales over the last 30 days on $2,620,248 in ad spend, now scaling further under client ownership.

Shopify Portfolio 08, DTC Scaled performance dashboard screenshotScaling

Shopify Portfolio 08

DTC Scaled
$154.8KSales (7 weeks)
$43.3KNet profit
2.82xROAS
What we did

Went from a validated test launch to a consistent seven-week scaling run, following the same test, validate, and launch model as every brand we build.

Now

$154,751 in sales over a seven-week window with $43,258 in net profit at a 28% net margin and 2.82x ROAS, now scaling under client ownership.

View the full Shopify results folder

TikTok Shop

5 brands

Creator engines and GMV Max programs that turn short form content into shop revenue.

TikTok Portfolio 01, TikTok Shop performance dashboard screenshotScaled

TikTok Portfolio 01

TikTok Shop
$43.4KGMV (7 days)
+110%vs. prior period
54.4KVisitors
What we did

Launched under the same test, validate, and launch model we run on every store, then scaled creator content and GMV Max once the offer was proven.

Now

$43,380.80 in GMV over the last 7 days, up 110%, with 1,471 customers and 54,447 visitors, now scaling under client ownership.

TikTok Portfolio 02, TikTok Shop performance dashboard screenshotScaled

TikTok Portfolio 02

TikTok Shop
$4,479GMV today
+87.4%vs. prior period
4.9/5.0Shop rating
What we did

Runs on the same test, validate, and launch model as every brand we build, now operating at scale with 293 orders shipping and a near-perfect shop score.

Now

$4,478.62 in GMV today, up 87.4%, with 312 customers, a 4.9/5.0 shop rating, and zero negative reviews, now scaling under client ownership.

TikTok Portfolio 03, TikTok Shop performance dashboard screenshotScaling

TikTok Portfolio 03

TikTok Shop
$21.4KGMV (28 days)
+276%vs. prior period
56.9KVisitors
What we did

Validated the offer first, then pushed creator volume and paid amplification under the same test, validate, and launch model across the portfolio.

Now

$21,380.84 in GMV over the last 28 days, up 276%, with customers up 183% and visitors up 679%, now scaling under client ownership.

TikTok Portfolio 04, TikTok Shop performance dashboard screenshotScaled

TikTok Portfolio 04

TikTok Shop
$110.7KTotal shop GMV
$98.9KAffiliate GMV
6.51MVideo views
What we did

Built a creator and affiliate engine on top of the same test, validate, and launch model, turning consistent video output into compounding GMV.

Now

$110.67K in total shop GMV and $98.91K in affiliate GMV over the trailing month, with 1.99K videos posted and 6.51M video views, now scaling under client ownership.

TikTok Portfolio 05, TikTok Shop performance dashboard screenshotScaled

TikTok Portfolio 05

TikTok Shop
$132.1KGMV
2,942Orders
3,215Items sold
What we did

Scaled past the initial validation phase of our test, validate, and launch model into a consistent multi-month run across GMV and order volume.

Now

$132,076.14 in GMV on 2,942 orders and 3,215 items sold over the tracked window, now scaling under client ownership.

View the full TikTok Shop results folder
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