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The Beauty Brand That Behaves Like Software
Oddity runs 70%+ gross margins and almost no CapEx. This report explains how outsourcing, data, and personalization create an unusually capital-light model.

Today, I’m digging into Oddity Tech (ODD).
Oddity Tech builds and sells beauty and wellness products through a digital-first, direct-to-consumer platform that uses quizzes, data, and AI-driven personalization to match customers with the right products. The company operates brands like IL MAKIAGE and SpoiledChild.
A few things that stood out to me:
They sell almost everything direct-to-consumer, no retail middlemen.
Gross margins are north of 70%, which is unusual for physical products.
CapEx is almost non-existent. Oddity designs products, formulations, and packaging, but third-party manufacturers actually make products.
Their quizzes and matching systems are working by reducing returns over time.
They reuse the same growth and data engine to launch new brands instead of starting from scratch.
Having gross margins of 70% plus while not manufacturing any of your products makes this one of the more impressive physical products businesses I've seen.
But it’s not all gumdrops and lollipops:
They are heavily dependent on paid ads. Public companies are under so much pressure to grow that they become like drug addicts when it comes to paid marketing. It almost becomes an addiction!
Returns are the primary risk in this business. If the data loop stops improving, returns could reverse the impressive operating margin expansion they've seen in recent years.
The other big thing here is how much LLMs like ChatGPT, Gemini, and Claude are going to become more of a headwind for this business?
I'm not sure about you, but I use tools like that almost exclusively for product research these days. I can only imagine they are going to continue to improve and optimize for delivering a native shopping experience (as we've seen).
No idea this business even existed. I've bookmarked this one to follow more closely to see if they can get off the paid marketing bandwagon at some point and to try to see how LLMs impact the business.
With that, I'll see you tomorrow!
Nick
The 30,000-Foot View
Oddity Tech operates a consumer-tech platform that designs, manufactures, and sells beauty and wellness products through its own digital channels. The business model is direct-to-consumer at scale, using proprietary quizzes, behavioral data, and AI-driven personalization to improve conversion, reduce returns, and accelerate product iteration.
Revenue is generated almost entirely online, with customers acquired through paid digital channels and retained through personalization, subscriptions, and cross-brand expansion. Oddity positions itself less like a cosmetics company and more like a technology platform that happens to sell physical goods.
Revenue mix (FY-2024):
Online direct-to-consumer: 95%
Other revenue (Israel, affiliates): 5%
Key stats:
Market cap: ~$1.9B
TTM revenue: ~$780.8M
TTM gross margin: ~73.1%
TTM net income: ~$110.2M
Employees: ~489
Industry: Cosmetics, beauty, and wellness (digital-first DTC)
Company History
2013: Company incorporated.
2018: Launch of IL MAKIAGE in the U.S., marking the start of Oddity’s modern DTC platform.
2019: Internal incubator formed to expand beyond a single brand.
2021: Acquisition of Voyage81, strengthening internal tech and data capabilities.
Feb 2022: Launch of SpoiledChild, expanding into wellness and supplements.
Apr 2023: Formation of ODDITY LABS via the Revela acquisition, focused on biotech and AI-based molecule discovery.
Jul 2023: IPO on Nasdaq under ticker ODD.
2024: Shareholder class-action lawsuit filed, adding legal and reputational noise.
2025 (YTD): Issuance of exchangeable notes increases cash and reported debt while funding future growth.
Show Me the Money
Standout financial features:
Gross margin expansion from 67% to over 72% in two years.
CapEx under 1% of revenue, reflecting an asset-light model.
Strong operating leverage as revenue scales.
Improving return rates, down to 10.9% in 2024.
Nearly pure DTC revenue mix, preserving pricing and margin control.
Financial Data
Metric | FY-2022 | FY-2023 | FY-2024 | TTM (Sep 2025) |
|---|---|---|---|---|
Revenue | 324.5M | 508.7M | 647.0M | 780.8M |
Gross Profit | 218.1M | 358.2M | 468.3M | 571.0M |
Gross Margin | 67.2% | 70.4% | 72.4% | 73.1% |
Ops Profit | 27.7M | 74.3M | 115.6M | 121.2M |
Ops Margin | 8.5% | 14.6% | 17.9% | 15.5% |
CapEx | 2.3M | 2.1M | 3.3M | 3.8M |
Net Debt | -57.2M | -168.4M | -169.1M | -209.1M |
The N.O.O.B. Nine — Competitive Powers
The Nerd Out on Business Nine is made up of Hamliton Helmer's famous "7 Powers" of competitive advantage (Scale Economies, Network Economies, Counter-Positioning, Switching Costs, Branding, Cornered Resource, and Process Power) combined with two of my own (Data Flywheel and Distribution Advantage).
Power | Score | Rationale |
|---|---|---|
Branding | 3/5 | Strong online brand awareness, but not yet a timeless or universal brand. |
Data Flywheel | 4/5 | More users generate better data, improving matching and marketing efficiency. |
Process Power | 4/5 | Highly repeatable system for testing, launching, and scaling products. |
Scale Economies | 3/5 | Scale improves ad efficiency and supply-chain leverage, but does not create overwhelming cost advantages. |
Switching Costs | 2/5 | Personalization adds light friction, but category switching remains easy. |
Cornered Resource | 3/5 | Proprietary data and tech matter, but are not fully exclusive. |
Network Economies | 1/5 | Customers do not benefit from other users joining the platform. |
Counter-Positioning | 4/5 | Digital-first personalization directly attacks legacy retail-based beauty models. |
Distribution Advantage | 4/5 | Full ownership of the DTC channel provides control and speed. |
Average Score: 3.1/5 - A durable but execution-dependent advantage driven by process, data, and distribution rather than pure brand dominance.
Memorable Marketing
Oddity markets like a performance-driven tech company, combining aggressive paid acquisition with personalization hooks and a science-forward brand voice. The core promise is simple: buying beauty online does not have to be risky.
Key campaigns and tactics:
PowerMatch Quiz, 2018
Hook: personalized matching with risk reversal.
Channels: paid social, quizzes, email and SMS retargeting.
Why it worked: reduced buyer anxiety while capturing valuable data.
Result: millions of online conversions and declining return rates.
SpoiledChild Launch, 2022
Hook: wellness personalization using the same data engine.
Channels: performance ads and influencer-style creative.
Why it worked: reused existing acquisition and testing infrastructure.
Result: meaningful contribution to revenue growth.
Beauty Meets Biotech Narrative, 2023
Hook: credibility through AI and biotech storytelling.
Channels: PR, product launches, founder-led narratives.
Why it worked: differentiated the brand beyond influencer marketing.
Result: reinforced premium positioning and trust.
Tactical takeaways:
Turn quizzes into product features, not lead magnets.
Use risk-reversal aggressively, then engineer it to be profitable.
Treat ad creative like continuous product testing.
Add a credibility layer competitors cannot fake.
Reuse funnels when expanding into adjacent categories.
AI Uses & Opportunities
Current uses:
AI-driven personalization and product matching.
Data-driven marketing optimization and operations.
AI-based molecule discovery through ODDITY LABS.
Future opportunities:
On-device diagnostics using computer vision.
AI-generated creative tied to strict performance testing.
Predictive returns management.
AI-powered sales and support concierges.
Long-term licensing of biotech or formulation IP.
Bumps in the Road
Shareholder litigation adds distraction and cost.
Marketing claims and regulatory compliance risk in beauty and wellness.
Dependence on paid acquisition platforms.
Key-person risk tied to founders and senior leadership.
Margin volatility when ad costs spike or logistics stumble.
Your Swipe File
Aim to build proprietary data loops, not just transactions.
Risk-reversal works only when returns teach the system how to prevent the next one.
Platform-dependence is like a tax. Work on proprietary channels while "paying" that tax.
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