Property intelligence for roofing
Know which roofs to knock before anyone else does
Databird turns storm, permit, parcel, and footprint data into a prioritized property view for Austin roofing contractors.
Top property cluster
Austin, TX
Storm date, permit gap, property context
91
Barton Hills
storm plus permit gap
Mueller
older permit record
Circle C
impact zone edge
Tarrytown
ownership tenure
Austin first launch configuration
One contractor per metro and trade
Property scores, not opt-in leads
Austin, TX
Launch market
The first Databird path is Austin roofing.
The site path should match the product path: storm intelligence, property context, ranked dashboard, then contractor workflow.
Not leads. Intelligence.
A storm list is only useful when every property has context.
Databird keeps measured signals visible, separates weaker overlays, and gives contractors a prioritized territory view instead of a shared contact list.
Built for real-world roofing decisions
The product blocks that matter before a crew rolls.
Storm alerts
Know where the event matters
Modeled storm impact is clipped to the property layer so field teams start with affected roofs, not county-wide noise.
Modeled impact zonesScored lists
Rank properties before routing crews
Storm, parcel, permit, and footprint signals combine into an opportunity view built for territory planning.
Ranked property listDashboard
Review the market visually
Map, score bands, property facts, and filters live in one customer-facing view for the active metro.
Austin dashboardExports
Move the list into the workflow
Curated exports and report packages are shaped for the contractor's CRM and sales process.
CRM-ready handoffAnticipate storm opportunity
Act from a ranked property view, not a generic hail map.
The Databird workflow turns public records into a territory list that a sales manager can route, filter, and export.
- Storm signal is treated as a measured input.
- Permit and parcel data add context before prioritization.
- Every output is built for one exclusive market owner.
Opportunity watchlist
Austin roofing territory
Modeled impact
Storm cell intersects property cluster
Permit gap
No recent reroof permit found
Parcel context
Residential structure with fit signals
Export
Ready for contractor workflow
The intelligence behind the score
Public data sources become one property record.
Storm
Modeled impact zones
Storm records are attached to properties so the signal stays spatial, current, and reviewable.
Permits
Reroof activity
Recent roof work lowers priority. Older or missing permit records stay visible as context, not as a hidden claim.
Parcels
Property facts
Ownership, assessed value, year built, and land-use context help separate usable targets from edge cases.
Footprints
Structure context
Building footprint and roof-area context support routing, sizing, and internal quality checks.
Filters
Ownership and fit rules
Commercial, investor, and owner-occupied signals can be reviewed without blending weak overlays into one opaque score.
Provenance
Source-aware records
Every field keeps its source, date, and confidence internally so Databird can audit the list before delivery.
Data in action
One product path, focused first on Austin roofing.
The tab system is deliberate: one core data engine, one active beachhead, and adjacent exterior trades held as expansion paths.
Roofing active
Prioritize roofs after storms without buying shared leads.
Austin roofing is the first launch configuration. The same source and scoring pattern can expand after the Austin motion is proven.
01
Storm event enters the Austin watch zone.
02
Databird joins storm, parcel, permit, and footprint data.
03
The scoring run ranks qualifying properties by opportunity signal.
04
The contractor receives a capped dashboard view, report, and export.
1
contractor per metro and trade
4
core public-data layers in the Austin path
0
shared lead marketplace mechanics
The site should sell the system Databird is actually building: exclusive property intelligence for storm-active roofing contractors, Austin first.
Internal positioning rule
Build with Databird
Built as a data product, delivered where the contractor already works.
Dashboard
Territory command view
A focused map and ranked table for the active metro, built for reviewing properties before outreach.
Reports
Monthly attribution package
A recurring report format that connects delivered opportunities, source context, and contractor follow-through.
Exports
CRM handoff format
Capped property lists designed to move into the contractor's existing CRM instead of becoming another system to manage.
Featured insights
Guides for contractors evaluating property intelligence.
Roofing leads: how they work, what they cost, and a better way to find the right roofs
A plain guide to roofing leads for contractors: where they come from, what shared and exclusive leads cost, why most convert poorly, and how to start from property data instead.
How to get roofing leads: 7 channels, ranked by cost per job
The seven ways roofing contractors get leads, from referrals to storm data, with honest pros, cons, and rough cost per acquired job for each.
How much do roofing leads cost? Real ranges and the only number that matters
What roofing leads actually cost in 2026, from shared to exclusive to storm leads, plus the cost-per-acquired-job math that shows why cheap leads are rarely cheap.
Open metros
Austin is first. Check whether your market is open.
Databird opens one metro at a time, with one contractor per trade. If your market is already claimed, we will say so.
See your territory