DiscoverEcommerce Business PodcastFrom Zero to $150M in Three Years Using Machine Learning
From Zero to $150M in Three Years Using Machine Learning

From Zero to $150M in Three Years Using Machine Learning

Update: 2025-10-15
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Most beauty brands take 7-10 years to reach $150 million in revenue. Spoiled Child did it in three by redefining the anti-aging category as "age-control" and leveraging Oddity Tech's AI-powered infrastructure. While competitors fought over shrinking market share with traditional anti-aging messaging, Spoiled Child expanded the addressable market by 300% through category innovation and data-driven personalization.

Oddity CEO Oran Holtzman had already proven the model with Il Makiage, scaling it from zero to $250M in online revenue in just three years. The team applied those same platform economics—AI matching, machine learning personalization, and direct-to-consumer distribution—to launch Spoiled Child as their second independent brand, targeting a broader 25-55 age demographic.

The strategic differentiators that drove rapid scale:

  • Reframed "anti-aging" as "age-control" to shift from reactive treatments to proactive consumer empowerment
  • Built on Oddity's existing AI platform with 40M+ user data points for hyper-personalized product recommendations
  • Deployed refillable packaging with recyclable capsules to drive subscription retention and brand differentiation
  • Launched with concentrated marketing spend that turned $10M in initial investment into $60M in organic social reach
  • Maintained 72% gross margins and 20%+ EBITDA while scaling, proving profitable DTC growth is possible


The core insight wasn't just better products but superior data architecture. By gathering and analyzing consumer preferences through machine-learning algorithms, Spoiled Child matched customers to 17 SKUs across skincare, haircare, and supplements based on individual aging goals rather than generic demographics. The refillable packaging system created a multi-layered moat: environmental positioning for conscious consumers, subscription lock-in for predictable revenue, and cost savings that funded premium R&D instead of marketing bloat.

For founders building consumer brands, the lesson is clear: platform economics beat product economics. Spoiled Child didn't just launch a brand—they deployed existing infrastructure, customer data, and AI capabilities to compress a decade of growth into 36 months.

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From Zero to $150M in Three Years Using Machine Learning

From Zero to $150M in Three Years Using Machine Learning

Cody Schneider