Pre-mover data: what it is, how it works, and why it matters

Every property transaction begins with a listing. Pre-mover data captures that moment: the point where a household signals intent to move: and makes it actionable. For enterprises that need home mover data before the move actually happens, this is the earliest signal available.

What is pre-mover data?

Pre-mover data (also called premover data or home mover data) identifies properties that have entered an active move cycle. The signal comes from the listing event itself: when a property is listed for sale, the household is declaring intent to relocate.

This is different from what most people think of as "mover data." Traditional mover files: NCOA, utility connects, change-of-address records: tell you where someone moved after the fact. Pre-mover data tells you they're about to.

The distinction matters because the timing gap between a listing and a completed move can be weeks to months. That window is where acquisition, retention, and risk decisions get made.

How a pre-mover database works

A useful pre-mover database doesn't just flag listed properties. It tracks the full lifecycle of each listing over time.

At BrightCat, every property is classified each week based on its current state in the market. A property that was listed last week and is still listed this week isn't new: it's continuing. A property whose asking price dropped is flagged as a price change. A property that disappeared from active listings but hasn't recorded a sale is suspended or terminated.

These classifications matter because different lifecycle stages carry different signals:

• NEW — a property just entered the market. The household is at the start of the move cycle.
• PRICE_CHANGED — the seller has adjusted expectations. Motivation may be increasing.
• RELISTED — a property returned to market after a previous attempt. This is often a stronger move signal than the first listing.
• SOLD — transaction confirmed. The move is now committed.
• SUSPENDED / TERMINATED — listing pulled. The move may have stalled or shifted to a private sale.

BrightCat's pre-mover database tracks 5.8 million residential properties across Canada on this weekly cadence. The dataset has been running continuously since 2014, which means every property carries up to a decade of lifecycle history.

Pre-mover data vs. post-mover data

The home mover data market splits into two categories: pre-mover and post-mover. They answer different questions at different points in the timeline.

Post-mover data tells you someone moved. Sources include Canada Post NCOA files, utility connection records, and change-of-address databases. The data is accurate but retrospective: by the time it updates, the household has already settled into a new address, signed new contracts, and made purchasing decisions.

Pre-mover data tells you someone is about to move. The signal is the listing event. The household hasn't left yet. They haven't chosen a new internet provider, a new insurance policy, or a new bank branch. The decisions are still ahead of them.

For any business that competes on timing: telecom, banking, insurance, direct marketing: that gap is the entire value proposition. Pre-mover data doesn't replace post-mover data. It precedes it.

Who uses pre-mover data

Telecommunications

When a household moves, they choose a new internet, TV, and phone provider. The decision usually happens in the weeks before the move, not after. Telecom providers use pre-mover data to reach households while they're still comparing options: before a competitor's welcome package lands on the new doorstep.

Banking and mortgage lending

A listed property is a signal that a mortgage may be discharged, a new mortgage may be originated, or a home equity line may be redrawn. Banks and lenders use pre-mover data to identify refinancing and origination opportunities at the point of maximum engagement.

Insurance

A move triggers a policy review. The property being sold may have an active homeowner's policy about to lapse. The property being purchased needs a new one. Insurance carriers use pre-mover data to retain existing policyholders and acquire new ones during the transition window.

Direct marketing

Movers are among the highest-value consumer segments. They're buying furniture, appliances, services, and subscriptions. Direct marketers use pre-mover lists to target households during the move cycle rather than mailing to an address the household has already left.

What makes BrightCat's pre-mover data different

Most pre-mover data providers deliver a monthly snapshot: a flat list of addresses that were active at one point in time. BrightCat operates differently.

• Weekly frequency. The dataset updates every week, not every month. In a fast-moving market, a monthly file can miss an entire listing-to-sold cycle.
• Lifecycle intelligence. Every property carries a weekly status classification. You don't just see that a property is listed: you see how long it's been listed, whether the price changed, and whether the move is been listed before.
• Continuous history since 2014. Over a decade of weekly data. You can look back at any property and see its full listing history: every time it entered the market, every price change, every outcome.
• Property-level tracking. The dataset is anchored to the property, not the household or the mailing address. Properties are tracked by a standardized matchkey, not by identifiers that reset when a listing expires and a new one appears.

The data is delivered through Snowflake Marketplace via Secure Data Share, or as a flat file. For AI-native workflows, it's also accessible through BrightCat's MCP connector.

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