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BrightCat PreMovers

Identify movers before they move

Most companies find out after the address changes.
You find out the week it lists.

Observed signals from active listings. The earliest confirmed indicator of an upcoming move.

If you wait for the move, you're too late.
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The advantage window

4–12 weeks before everyone else

Listings are the first signal that a household is about to move. From that moment: utilities change, insurance policies update, financial relationships shift.

This is the decision window. Most companies miss it.

Listing detected
BrightCat fires
→
PreMover signal
You act here
→
Price changes
Still tracked
→
Home sold
Window closes
→
Address changes
Everyone else
The signal

Based on observed listing activity.

PreMovers are not guesses. They are properties that have just entered the market: which means the household behind them is about to move.

PreMovers are derived from real estate listings data: the earliest observable signal of a household move.

No surveys. No third-party signals. No lag. Just the market itself.

Every row is a real household entering a real decision window.

This is the earliest form of household movement data available in the market.

This is what the market looks like: updated weekly
Detached house · M4K postal code·New listing·This week
Condo · K1Y postal code·Price drop·This week
Why it works

Listings are intent. Movement is inevitable.

A listing is not just a property event. It's a household decision. Once a property lists, the move is already in motion, the timeline has started, and the outcome is unavoidable.

PreMovers capture that moment: before anyone else acts.

In practical terms, a listing is the earliest observable indicator that a household will move.

What you get

135+ columns. Weekly. National coverage.

Listing date, price and price changes, property attributes, location (lat/long, postal code), lifecycle context (relist, DOM, status). Every record is address-validated and geocoded.

Each record is tied to a standardized property ID and enriched with full listing lifecycle context.

PreMover signals are captured across the Canadian property market, covering all provinces and major metropolitan areas.

Use cases

If timing matters, this is where you win

Used for customer acquisition, retention, and lifecycle marketing.

Telecommunications
Acquire customers before the move. Win the install before competitors even know the address changed.
Insurance
Quote new policies before renewal cycles trigger. Intercept the customer before they shop.
Banking & Lending
Capture mortgage switches and new originations early: not after closing.
Direct Marketing
Reach households when they are making decisions: not after they've made them.
The consequence

If you don't see this, you're reacting to old data

Most companies react after the move, rely on outdated signals, and compete too late.

Most competitors rely on post-move data. By then, the decision is already made.

PreMovers gives you the only window that matters.

The data

This isn't a segment. It's the live market.

135+
Attributes per record
Weekly
Refresh frequency
National
All provinces covered
Derived
From full listings lifecycle
2014
Tracking since
No equivalent
Dataset in Canada

Trusted by enterprise data platforms, proptech builders, and property intelligence teams across Canada.

Updated weekly. Reflecting real-time market activity.

Updated weekly using full listings coverage across Canada.

Delivery

Already inside your stack: and usable by AI

Your systems don't wait. Neither should your data.

Snowflake Marketplace
Query live PreMover data alongside your own
Secure Data Share
Enterprise-grade delivery
MCP Connector
AI agents query PreMover signals directly
Structured Files
Weekly files, immediate use

If you rely on post-move data, this isn't for you.

Common questions

About PreMover data

What is a PreMover?
A PreMover is a household identified through a new property listing. The signal is observed directly from market activity, not predicted or modelled.
How early can PreMovers be identified?
Typically 4–12 weeks before the move is completed, starting from the listing date. This window is when households choose new service providers, evaluate insurance, and arrange financing.
Is PreMover data predictive?
No. PreMovers are based on real listings, not predictive models or inferred behaviour. Every signal corresponds to an actual property that has entered the market.
How accurate is PreMover data?
PreMover signals are derived directly from listing activity, making them one of the most reliable indicators of an upcoming move available in the Canadian market.
What industries use PreMover data?
PreMover data is used by telecom providers for customer acquisition, insurance companies for policy timing, banks for mortgage origination, and direct marketing teams for lifecycle targeting.
How is PreMover data used for customer acquisition?
PreMover data allows companies to identify households before they move, enabling earlier outreach for telecom services, insurance policies, and financial products: weeks before competitors using post-move data.
How is PreMover data delivered?
PreMover data is available via Snowflake Marketplace, secure data share, MCP connector for AI systems, and structured files for immediate use.
What is the difference between PreMover data and post-move data?
Post-move data identifies households after they have already relocated. PreMover data identifies them at the moment the move decision begins, providing a 4–12 week advantage.
Is BrightCat PreMovers designed for list-based campaigns?
Yes. PreMovers can be delivered as a weekly enterprise file ready to drop into campaign tools for direct mail, telemarketing, email, and digital acquisition. Telecom, insurance, banking, and direct marketing clients have used BrightCat pre-mover lists for more than a decade.
Is BrightCat too technical for marketing teams?
No. BrightCat is enterprise infrastructure, but you don't need a data team to use it. Marketing and acquisition teams receive ready-to-use weekly files. Analytics and data science teams can pull the same data through Snowflake or AI tools. The delivery format is matched to the client, not the other way round.
How does PreMover data compare to household survey or consumer mover lists?
Household surveys and consumer mover lists are typically built from demographic modelling, change-of-address records, or self-reported intent. BrightCat PreMovers come from observed market activity. Every record is a household that has taken a concrete step toward moving — not a guess from a model.

Still have questions? Talk to our team.

Works with

Connected to all other BrightCat products

BrightCat Listings →
PreMovers are derived directly from listings: the first signal of household movement.
BrightCat Sold →
Track what happens after the move and measure full transaction outcomes.
Get started

Start acting before the market moves

Request a sample with real PreMover records: and see the window for yourself.

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