High Signal Fields
Monthly unlimited price — Most consistent pricing signal; directly comparable across brands
Market type (college/primary/secondary) — Strongest predictor of price tier and demand
Reformer count — Directly drives revenue capacity; available for most studios
Google rating + review count — Reliable demand proxy; observable and stable
Brand vs. independent — Franchise studios price 15–20% lower than premium independents
Noisy / Low-Signal Fields
ClassPass cost-per-class — Highly variable; studios adjust credit pricing frequently
IG engagement rate — Vanity metric; poor correlation with actual studio demand
Weekly class count — Hard to verify; schedule changes frequently
Intro offer pricing — Too many formats to compare apples-to-apples
Fields to Drop (>30% Null)
Studio sq ft — 62% null; rarely disclosed publicly
Annual unlimited pricing — 71% null; most studios don't publish
ClassPass slots sold out — Requires real-time scraping; not sustainable
MindBody waitlist visible — 78% null; most studios hide this
Add for v2 (LobbyOS Schema)
Resident-member conversion rate — % of building residents who join; Vasari's key metric
Revenue per reformer/year — Normalizes across studio sizes; best unit economics metric
Multi-modal bundle pricing — Lagree + yoga + sauna bundle; Vasari's differentiation
Opening date + ramp curve — Month 1–12 revenue ramp; critical for pro forma