Marius Sperlich
A first-party audience engine for an artist with 500K+ followers and no structured buyer data.
An artist with 500K+ followers and international gallery representation, but no structured data on who was buying his print drops — or who should be.
01The data gap
Half a million followers. Gallery shows in Berlin, Miami, New York, Sao Paulo. Print drops that sell out. But no structured understanding of who was buying — demographics, preferences, price sensitivity, purchase patterns. The audience was there. The intelligence wasn't.
02Building a collector profiling system
We built a collector profiling system into the web store. Buyers and browsers encounter preference selectors and interactive prompts woven into the shopping flow — not surveys, not pop-ups, but decisions that feel like part of the experience. Each interaction captures aesthetic taste, price range, and purchase intent as structured data.
03From profiles to lookalike audiences
That structured first-party data seeds custom audiences on paid channels — real profiles replacing the guesswork that died with third-party cookies. The store now knows more about its audience than most galleries know about their patrons.
Data
- Zero-party data strategy
- Audience profiling
- Lookalike audience engineering
Product
- Gamified commerce
- Web store development