How do lenders use property data to capture borrowers earlier?

A property listing signals an upcoming transaction and financing requirement. BrightCat identifies these households 4–12 weeks before the transaction closes, allowing lenders to engage before financing decisions are made.

How does listing data improve mortgage acquisition?

Listing data identifies households entering the property transaction lifecycle before financing is secured, giving lenders a timing advantage over application-based acquisition.

Can BrightCat data be used for portfolio monitoring?

Yes. Lenders use BrightCat data to detect when properties in their mortgage book enter the market, enabling proactive refinancing outreach and risk management.

How is BrightCat data delivered to lending teams?

BrightCat data is available via Snowflake Marketplace, Secure Data Share, MCP connector for AI systems, and structured files.

Can sold data be used for collateral valuation?

Yes. BrightCat Sold provides confirmed transaction prices: not estimates: enabling accurate collateral assessment and valuation model training.

How often is the data updated?

All BrightCat data is updated weekly, capturing listings, transactions, and lifecycle changes across 5.8M+ Canadian properties.

Property Data for Banking — BrightCat Data

The problem

You're entering the process too late

Mortgage activity is driven by applications, broker channels, and closing events. But the decision starts before financing is finalized.

By the time you see the paperwork, the borrower already picked someone else.

How you win

Engage before financing decisions are made

Early Mortgage Acquisition

Reach borrowers before they pick a lender. The first bank to make contact usually wins.

Refinancing & Switching

Find refinancing leads before renewal time. Talk to homeowners while they are already thinking about their options.

Portfolio Monitoring

See when your own customers list their homes for sale. Reach out before they leave, not after.

Market Intelligence

See what is happening in the housing market this week. Use fresh data to set your lending strategy.

Property data fields for banking and mortgage workflows

Specific BrightCat fields and products relevant to this vertical. Every field listed below is queryable through Snowflake SQL, MCP natural language, or available in the weekly flat-file delivery.

Signal	Product	Field / Logic	What it tells you
Pre-mover signal	Listings	listing_status = NEW	Borrower about to sell collateral — pre-qualify for new mortgage
Price change tracking	Listings	asking_price, pricechangeamt, pricechangepct	Real-time collateral value movement
Sold price verification	Sold	sold_price, sold_date, listing_price_at_sale	Actual transaction price vs appraisal
Repeat-sale HPI pairs	Core	194K+ verified pairs, both dates and prices	AVM training data for portfolio valuation
Days on market	Listings	days_on_market, cum_dom	Market liquidity indicator for collateral properties
Rental conversion	Listings + Rentals	Sale → rent within 180 days	Investment property detection in mortgage portfolio

Sample query

-- Mortgage portfolio: detect listed collateral properties
SELECT m.loan_id, m.borrower_name, m.collateral_address,
       m.outstanding_balance, m.ltv_ratio,
       b.asking_price, b.days_on_market, b.pricechangepct
FROM mortgage_portfolio m
JOIN BRIGHTCAT_LISTINGS.PRODUCT.listings_weekly b
  ON m.postal_code = b.postal_code
  AND m.street_number = b.street_number
WHERE b.listing_status IN ('NEW', 'PRICE CHANGED')
  AND b.file_date = (SELECT MAX(file_date)
                     FROM BRIGHTCAT_LISTINGS.PRODUCT.listings_weekly);

Abstract example. Exact column names provided with access provisioning.

The consequence

If you wait for the application, you're already competing

Most lenders enter late, compete on rate, and lose early advantage.

Timing wins the deal.

Most lenders compete after the borrower has already chosen. By then, you're negotiating: not originating.

Capture the customer before the transaction closes

You're entering the process too late

Move from transaction-based to intent-based lending

Engage before financing decisions are made

Traditional lending approach vs. BrightCat data

Property data fields for banking and mortgage workflows

Sample query

Built on real market signals

Act before the deal is locked

If you wait for the application, you're already competing

About property data for banking

Start capturing borrowers earlier