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Insurance

Reach policyholders before risk changes

Most insurers react at renewal. By then, the customer is already shopping.

BrightCat lets you act earlier.

PreMover data identifying households preparing to move and change coverage across the Canadian property market.

The risk changes before you see it: unless you see it first.
The problem

Risk changes before you see it

Policy changes are triggered by renewals, claims, and inbound updates. But the biggest trigger is a move: and you only see it after it happens.

By that point: the customer is already shopping, the risk profile has shifted, and you're competing on price.

The shift

Move from reactive underwriting to early detection

A property listing signals a change in residence, a change in risk profile, and a new policy opportunity.

A property listing is the earliest confirmed signal of a change in household risk.

In data terms, a property listing is the first confirmed indicator of an upcoming change in policyholder risk exposure.

4–12 weeks before
Property listed for sale
The decision to move has been made. Risk is about to change. BrightCat captures this signal immediately.
1–4 weeks before
Policy decisions being made
New home insurance, new auto coverage, new property value: all being evaluated. This is your window.
After the move
Too late
Renewal triggers fire. Competitors have already quoted. You're competing on price, not timing.
How you win

Act before policies are rewritten

Used to acquire and retain insurance customers across the Canadian property market.

Early Policy Acquisition
Quote new policies before customers start shopping. First quote wins the policy.
Renewal Interception
Engage before renewal cycles trigger competitive quotes. Retain the customer before they leave.
Risk Reassessment
Detect changes in property type, value, and exposure early: before claims reveal the gap.
Portfolio Visibility
Track where risk is entering and exiting your book: at the property level.
The difference

Traditional insurance data vs. PreMover data

Traditional approach
Reacts at renewal
Lags behind customer movement
Limited visibility into change
Risk profile updated after the fact
vs
BrightCat PreMovers
Identifies change at listing
Captures intent 4–12 weeks early
Full property lifecycle visibility
Risk shift detected before renewal

Used by telecoms, insurers, and financial institutions across Canada.

Products in action

Built on real market signals

Three BrightCat products power the insurance acquisition and risk lifecycle.

PreMovers
Identify households preparing to move. The earliest signal of a policyholder about to change coverage.
Listings
Track property changes and value signals. Every listing, every price change: weekly.
Sold
Validate final property value and exposure. Confirmed transactions, not estimates.
AI + Delivery

Detect risk changes instantly

Insurance teams use AI to detect risk changes, trigger outreach, and adjust policies as signals appear.

Snowflake Marketplace
Query PreMover data alongside your policyholder base
MCP Connector
AI agents query and act on risk signals directly
Secure Data Share
Enterprise-grade delivery, no pipelines
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Updated weekly to reflect current market activity.

The consequence

If you wait for renewal, you lose the policy

Most insurers react late, compete on price, and lose visibility into early change.

The advantage is timing: not pricing.

Most insurers compete after risk has already changed. By then, the customer has already quoted elsewhere.

Common questions

About property data for insurance

How do insurers use property data to reduce churn?
When a policyholder's property is listed for sale, they are about to move: and likely to shop for new coverage. BrightCat's PreMover signals detect this at the point of listing, 4–12 weeks before the move, giving retention teams time to intervene.
How does PreMover data improve insurance policy acquisition?
PreMover data identifies households before they move, allowing insurers to quote new policies before customers begin shopping with competitors.
Can property listing data help with risk reassessment?
Yes. Listing data includes property type, value, and location changes that signal a shift in risk profile before renewal cycles.
How is BrightCat data delivered to insurance teams?
BrightCat data is available via Snowflake Marketplace, Secure Data Share, MCP connector for AI systems, and structured files. Insurance teams can query PreMover data directly alongside their own policyholder data.
Is PreMover data predictive or modeled?
No. PreMovers are based on real listings, not predictive models. Every signal corresponds to an actual property that has entered the market.
How often is PreMover data updated?
PreMover data is updated weekly, capturing new listings and status changes across 5.8M+ Canadian properties.

Still have questions? Talk to our team.

Get started

Start acting before risk changes

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