Query properties, agents, contractors, demand signals and mortgage activity.
How every number on this platform is computed. Transparency is the product.
Weighted behavioral volume over a rolling 30-day window: search ×1, property view ×2, save ×5, inquiry ×10, mortgage interaction ×12. Weights reflect distance to transaction intent. Research basis: housing search volume leads price movements (Møllery & Timmermann, UCSD — Housing Search Index predictability).
Qualified weighted demand per active listing. Above 1.5 signals tight supply; below 0.8 signals soft demand.
Composite: 30% demand growth (30d), 25% supply pressure (D/S), 20% mortgage intent share, 15% search→inquiry conversion, 10% inventory trend. Every score decomposes into these five inputs.
Placesi behavioral event store (searches, views, saves, inquiries, mortgage interactions) and verified listing inventory, computed nightly at 03:30 UTC. Behavioral series began August 2026; earlier displayed history is clearly-labeled backtest simulation. Listing inventory is current production data.
Behavioral metrics derive from anonymous visit sessions. No individual-level data is collected, displayed, or sold. Aggregate cohorts only (sex, age band, country), with minimum cohort thresholds. Export activity is logged for audit.