Use cases / Lead Generation

Storm Swath Targeting + Canvass List Builder

In short: After hail/wind, crews knock whole neighborhoods with no damage data, wasting days. This workflow uses NOAA/NWS storm data + EagleView/property data + Clay/Apollo + Google Sheets/CRM to fix it, and it is rated hard to set up.

Trades
Roofing
Category
Lead Generation
Difficulty
Hard
ROI lever
Inspections per hour
Tools
NOAA/NWS storm data + EagleView/property data + Clay/Apollo + Google Sheets/CRM

Workflow

  1. Import storm path/date.
  2. Overlay parcels in service area, roof age if available.
  3. Score, export door list + SMS/mail list (with consent check).
  4. Log inspections in CRM.

Starter prompt

You are a roofing storm-response analyst for [Company]. Inputs: storm date, NWS/NOAA hail or wind report locations and sizes, and a parcel list with address, year built, and roof age if known. Score each address 1-5 for likely damage using only the data given, explain the top factors in one line, and output a CSV with address, score, reason. Flag any addresses on do-not-contact lists. Don't claim a roof is damaged; the output only prioritizes inspections. Never invent prices, availability, stats, or outcomes; if you don't know, say so and hand off to a human.

What to measure

Example: Focus canvass on 300 highest-probability homes instead of 1,000 random - measure inspections per canvass hour.

Safety note: any customer-facing AI should hand gas smells, sparking, smoke, or active flooding to a human or emergency services right away. Last updated 2026-10-20. How we pick and check use cases.

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HVAC, Plumbing, Electrical, Roofing · ROI lever: Cost per booked job