D2C Brand Launch — Year 1 Projections — Sanitized Case Study

Client Brief

The ask

A first-time D2C founder had a product, a supplier and a Shopify theme. Needed a Year 1 projection that would survive scrutiny from angel investors — meaning real CAC math, not hockey-stick fantasy.

Problem

Ambitious, but un-modelled

Founder was running AED 300 Meta tests with a AED 280 AOV. Math didn't work. Needed to see it on paper before raising.

Opportunity

Marketplace cross-over

D2C alone was tough economics. Amazon.ae + Noon cross-over with 15-20% marketplace revenue share changed the blended unit economics materially.

🔒

Fully sanitized. Client name, store name, exact locations & trading figures have been scrubbed. Industry, scale, deal structure & feasibility framework are preserved so you can see exactly how the work is shaped.

Approach

How we built it

A 5-step repeatable process — from brief to investor-ready pack, powered by AI across financial modelling, market sizing & narrative writing.

Product catalogue & AOV tiers

180 SKU across 4 AOV tiers (AED 180 / 280 / 420 / 650). Bundle strategy designed to lift AOV by 18% via cart upsells.

CAC & channel mix model

Meta/TikTok/Google Performance Max, each with its own CAC curve. Retargeting layer driving 22% of revenue at 60% lower CAC.

Marketplace cross-over economics

Amazon.ae + Noon at 20% of revenue but 22% margin take after fees & FBA. Reduces blended margin but improves cashflow stability.

Year 1 monthly P&L

GMV, COGS, ad spend, fulfilment, returns reserve — monthly. Break-even at month 9, cash-positive month 11.

Angel pitch & data-room setup

12-slide pitch, full Excel model with live Shopify export, plus a data-room template the founder could populate and send to angels directly.

Deliverables

What went into the investor pack

Each row is a finished tab, slide or one-pager handed to the client — ready to share with lenders, investors or JV partners.

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Executive Summary

One-page investor-ready narrative

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3-Year P&L Model

Revenue, COGS, opex, EBITDA by month

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Break-Even Analysis

Month-by-month to break-even point

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CapEx Breakdown

Fit-out, equipment, licensing & launch

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CAC Curve Model

Per-channel CAC by spend level

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Bundle & AOV Strategy

4-tier upsell playbook

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Sensitivity Analysis

Best/base/worst case with levers

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Angel Pitch Deck

12-slide narrative + metrics

Outcome

What the client walked away with

Founder closed a AED 400k angel round 6 weeks after delivery. Year 1 revenue landed at AED 2.4M — 86% of the target. CAC payback tracking to month 15.

Signal

Angel round closed in 6 weeks

The CAC math was the moment the investors bought in — founder cited it directly as the unlock.

Signal

Model still live at month 12

Founder updates the same spreadsheet monthly — it's their board dashboard now, not a one-off pitch artifact.

Need something similar?

Feasibility studies, investor pitches, P&L models & market sizing — built with AI in 48 hours, reviewed by 37+ years of GCC retail experience.

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