Pre-mover signals on Canadian residential real estate properties, delivered weekly. Mortgage-portfolio-grade property identity, lifecycle classification, and Snowflake-native delivery. Built for retention, refinance origination, and collateral monitoring.
When a Canadian homeowner lists their property, a mortgage discharge is usually weeks away. Whichever lender finds out first wins the next loan.
Every residential real estate property listing in Canada is also an upcoming mortgage event. The household is preparing to sell, which means the existing mortgage on the property is preparing to discharge. The household will need a new mortgage on the next property — or a refinance, or a HELOC redraw, depending on what the move triggers.
For Canadian banks and mortgage lenders, the listing event is the earliest signal that one of these decisions is coming. The window between listing and closing is typically 4 to 12 weeks. Inside that window, the borrower has time to evaluate their options. The lender that engages early — proactive retention call, pre-approved transfer offer, refinance conversation — keeps the relationship. The lender that finds out from a discharge notice has already lost it.
For mortgage portfolio and origination use, banking workflows need property identity, lifecycle context, and joinability to the existing portfolio — not just a mover flag. The BrightCat PreMovers shape is built for this:
BrightCat PreMovers delivers as a continuously-maintained property dataset. Inside the bank's Snowflake environment, the data joins to the mortgage book on address. Inside the portfolio monitoring workflow, it feeds discharge prediction. Inside the retention motion, it routes audiences to the right team. The data foundation sits in the warehouse, available to every downstream model rather than packaged for one campaign.
For banks whose decisioning sits in Snowflake, the warehouse-native shape is what makes the data foundational. Every downstream use case — discharge prediction, refinance origination, retention, collateral monitoring — runs on the same dataset.
Snowflake-native delivery, documented methodology, PIPEDA-consistent data shape, and the licensing posture banks expect.
Canadian banks run multi-stage procurement, privacy, and security reviews on every data vendor. BrightCat is built around that workflow:
Pre-mover is one signal. Banking teams also use BrightCat sold data, repeat-sale price index, and distressed-seller signals on the same pipeline.
Get sample data in your Snowflake account or as a flat file. Evaluate against your mortgage portfolio before committing.