Methodology

How BrightCat data is built

Built on real market activity: not predictions. Every record reflects observable property events.

Data collection

BrightCat ingests property data from contracted sources on a weekly cycle:

Listing activity: new, price changes, status updates
Transaction records: confirmed sales
Rental activity: unit-level supply and pricing
Commercial activity: sale and lease lifecycle events

Updated weekly to reflect current market activity. Continuous tracking since 2014.

Standardization

Address normalization: standardized parsing and correction
Postal code validation: verified against national reference
Structured records: consistent schema across all time periods

Property matching

BrightCat uses a composite matchkey: standardized address and postal code: to:

Connect listings across time periods
Track property lifecycle from listing through sale
Enable repeat-sale analysis for price index calculation

The matchkey is the foundation of lifecycle intelligence. It connects what would otherwise be disconnected snapshots into continuous property history.

Known limitations

Reflects observable market activity: not all off-market transactions are captured
Coverage depends on contracted source availability by region

Real signals: not modeled assumptions.