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Ecommerce Business Podcast
Cody Schneider
33 episodes
4 days ago
Ecommerce Business Podcast
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Marketing
Business,
Entrepreneurship
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All content for Ecommerce Business Podcast is the property of Cody Schneider and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Ecommerce Business Podcast
Show more...
Marketing
Business,
Entrepreneurship
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From Zero to $150M in Three Years Using Machine Learning
Ecommerce Business Podcast
15 minutes
1 month ago
From Zero to $150M in Three Years Using Machine Learning

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.

Ecommerce Business Podcast
Ecommerce Business Podcast