- Let's Buy a Biz!
- Posts
- Scaling Oddity to a $10B LVMH exit
Scaling Oddity to a $10B LVMH exit
Oddity has beautiful fundamentals, and theyâre only getting betterâso, letâs throw rocket fuel on this ship and 3x them. Plus, real examples of how I use AI every day.

đ§ The Takeaways
Today weâre jumping on Oddityâs insane growth + taking this biz to $10B.
Launching more and more AI-driven Beauty brands
Finally launch into Retail at $650m in Topline
Acquire a Beauty/Makeup App to harvest more consumer data
3 ways I actually use AI every day.
LBAB! Community - 3 Ways weâre winning with AI.
Here are 3 ways weâre using AI at Coco to save headcount and increase output.
1) Ship requirements at âfounder speedâ
I rewired how we write user stories.
I outline the experience we want â ChatGPT drafts acceptance criteria, UX/UI specs, edge cases, and dev notes.
I feed that into Lovable, which generates the front-end UI/flows for prototyping.
Devs get a clickable experience + crystal-clear specs instead of a vague doc.
Result: order-of-magnitude faster and way higher quality.
I used to grind for hours to get to âmeh.â Now I produce more, better stories in a fraction of the time.
2) Turn revenue data into weekly decisions
Every week, AI ingests revenue across all customers and flags what matters:
Marketing efficiency, promo lift, win-backs, cohort health
Outreach targets and content angles that actually move numbers.
And insights are 10x better than anything weâve used. The team shows up to standups ready to make decisions.
3) Daily CEO briefings for everyone
At 5:00 every morning, I get a briefing to my phone:
Todayâs calendar + context
Priority emails with pre-written drafts that sound like me
Company metrics, blockers, and a quick news pulse
Takes minutes + no need for a $3kâ$5k/month EA to do it.
The unlock: roll this out to the whole team so everyone operates like a CEO with their own daily brief.
How to copy/paste this into your org:
Treat AI like a teammate: scope the job, define the handoff, measure the output.
Feed it clean data and tight prompts. Add feedback loops so quality compounds.
Productize the wins (templates, checklists, automations) so it scales beyond you.
AI is a force multiplier.
IF your inputs, scope, and handoffs are right.
Letâs Examine This Biz
Note: As always, none of what follows is legal, tax, investing, financial, or any other sort of advice. And I was never here.
Oddity (the AI Beauty portfolio of Il Makiage and SpoiledChild) has come screaming into the public markets, putting up numbers and meaningful growth. Itâs time to ride this up to the moooooon.
Share price: $60.21
Market Cap: $3.4B
L5 Performance: +14%
P/E Ratio: 33x
Oddity brought the nerds to the Sephora and are scaling beautifully.
Today, weâre going to scoop up a chunk of Oddity and be helpful âValue addâ investors to go long on this beauty conglomerate-in-training.
Financial Summary
2024 Financial Statements (YoY Comparison)
Sales: $647m (+27%) đ
Gross Profits: $468m (31%) đ€€
OPEX: $352.7m (+24%) đ
Net Income: $101m (+74%) đđ€€
TLDR Analysis: Only getting better with Scale
Rev growth (+27%) outpacing OPEX growth (+24%) đ
Gross Margins accelerating from 67% (2022) -> 72% đ€€
Net Income at $100m w/ 15% NI Margin đđ€€đđ€€đđ€€

I really donât like that they donât break out Marketing, Fulfillment, Tech or R&D in their report.
But with results like theseâŠ

Letâs Scale This Biz
Here are my 3 moves to keep this momentum going to a $10B cap.
1) Go all in on launching new brands.
The clarity of vision on this slide is Chefâs kiss.

Itâs telling you:
What theyâre focusing on
Where theyâre investing
How theyâll get it done
But the one major piece I donât agree with is partner brandsâwhether thatâs Acquisitions or JVs, those partnerships are going to be so hard to culturally pull off.
Super Techy bizs donât thrive in the messy realm of Celebrities/Influencers, the subjective nature of partnerships, and navigating competing desires.
Itâs slower, harder, more painful work, but what will make Oddity Tech a genre-defining portfolio is what they do best. Building.
Thatâs their skill set.
When youâve built an incredible machine, itâs tempting to apply it everywhere. But especially in AI, the more focused its focus and expected deliverables are, the more productive it will be.
Takeaway: Donât chase shiny objects. Take the 20 yr path.
2) Get into Sephora
Scaling to $647m with 98% from DTC is incredibly impressive, but itâs time this brand takes their greatest hits and gets them into more hands.
You canât claim your TAM is $600B when you arenât selling in IRL retail, where ~$400B of those transactions flow.
Sephora is the natural fit: a Premium Beauty Retailer owned by LVMH where the âITâ brands are sold.
The Retail experience will match Il Makiage + SpoiledChildâs premium branding. It gives Sephora more hot products to sell in store and propels both brands together.
This will be the start of a highly selective but meaningful expansion into Retail.
Oddity wonât get to $2B in sales on DTC alone.
Takeaway: 80% of sales are still IRL. Find the best (and only the best) partners.
3) Acquire more Data sources
AI is only as good as its data.
That means both in quality and volume. Oddity has tapped into huge amounts of data, but they will soon run out of new data to train their AI models on.
No new data = each improvement becomes harder and less impressive.
You canât keep a rocket accelerating without more fuel.
This will be trickier, but we should direct the M&A budget on other sources to train on consumer behavior.
Letâs assume theyâre going to all the usual places: Credit cards, Retail data, Credit Bureaus.
A Social media site would be going too far, but the Beauty Touch up apps would be the perfect data mine to harvest how customers want to alter their appearance with makeup.
FYI: Consumers use these apps like Youcam and Perfect365 to alter their photos before posting them to social media to appear more in line with how they want to be seen.
Oddity can throw AI at the millions-billions of events these apps capture to identify the looks, adjustments, filters, and skin tones that customers use.
We create new products/brands around those insights.
Then layer in the fun experiences theyâve built on Ilmakiage.com into the app to create the Beauty Mega app to keep customers constantly entering in their desires on how they want to look in the futureâand capture every last bit of that data
Takeaway: Always acquire more data.
Final Thought
Iâm Babe Ruthing it now.

LVMH acquires Oddity.
It might take another decade, but itâs going to happen.
LVMH has a relatively small Beauty division. Fenty by Rihanna and Sephora are the only real notable brands in the portfolio that arenât fragrance bizs. Both are recent acquisitions.
Oddity is the perfect blend of premium luxury branding + huge margins, and they bring a fresh skill set LVMH can roll across the entire portfolio.
Could you imagine if you pushed all of Sephoraâs data into Oddityâs AI models?

LVMH will continue to diversify away from Spirit + Luggage biz lines, and Beauty will take a more meaningful portion of their portfolio.
Theyâll definitely acquire more celebrity/influencer brands, but having AI define the future of Luxury is a moat they wonât want to lose.
Also, LVMH (through L Catterton, the massive Consumer PE firm that LVMH backs) was the investor that helped Oddity Tech scale to become public, investing $33m early on.
They saw an insane 15x return before selling, but Iâm sure they wish they held onto it.
Reply