How to Find Storm-Damaged Roofs in Your Area (Free + Paid Tools)

Storm-chasing has a reputation problem in roofing. Some of it is earned — there's a small minority of contractors who chase storms aggressively, file inflated claims, and damage the industry's reputation. But ethical storm-chase work — identifying genuinely damaged roofs, helping homeowners through legitimate insurance processes, doing good work — is a meaningful revenue channel for residential roofers in storm-belt regions.

Start with where the hail actually fell: the free US hail map shows every NOAA report from the last 12 months, updated daily.

This post is about how to do storm-chasing the right way. Five sources, ranked from free to expensive, plus a 90-day workflow that catches more events than reactive chasing.

Why "storm chasing" gets a bad rap (and how to do it ethically)

The bad version of storm chasing involves three patterns:

• Door-knocking immediately after a storm with high-pressure tactics ("your roof is destroyed, sign here today")
• Encouraging questionable insurance claims (or filing them on the homeowner's behalf without authorization)
• Disappearing after collecting the claim payout (the "fly-by-night" model)

The ethical version involves:

• Identifying genuinely damaged roofs
• Educating homeowners on their options (file vs. don't file, repair vs. replace)
• Doing quality work for fair money

This post is about the ethical version. The tactics overlap (identify damaged homes, contact homeowners quickly, document for insurance) but the framing is different. Ethical chasers play long-term — they want repeat referrals from happy customers, not quick-flip churn.

Source 1: NOAA Storm Events Database (free, official baseline)

URL: ncdc.noaa.gov/stormevents

The U.S. government's database of severe weather. Every reported hail, tornado, wind event is logged with date, location, magnitude, and a narrative description.

How to use it:

1. Query by state + date range (last 30 days for active prospecting)
2. Filter event type to "Hail" or "Thunderstorm Wind"
3. Export as CSV
4. Cross-reference reported event locations with your service zips

Strengths:

• Comprehensive coverage
• Includes both spotter-confirmed events and radar-derived hail estimates
• Free, no signup, no rate limits

Weaknesses:

• 24-72 hour reporting lag
• Spotter network is sparse in some rural areas
• Government UI is dated

Best for: baseline data feed. Even paid tools should be sanity-checked against NOAA.

Source 2: Commercial hail map services (faster)

The two most-used paid hail map services are HailTrace and Interactive Hail Maps. Both pull from NOAA plus their own spotter networks and radar derivation, and both quote per-territory rather than publishing a rate card you can read off a page, so the only honest way to compare them is to get a quote for your footprint. The value versus NOAA is speed and visualization: property-level swath overlays instead of zip-level reports, and reporting measured in minutes rather than the government's day-plus lag.

Best for: active storm-chase shops where 24-hour reaction time matters. If you're 7 days late to a storm, the faster reporting advantage is moot.

Source 3: Insurance claim public records (slow but ground-truth)

Some state insurance commissioners publish aggregate hail-claim data by zip. Texas Department of Insurance publishes monthly. Florida varies. Most other states don't publish publicly.

The signal value: zips with confirmed claim density (vs. just confirmed hail) are the highest-value chase zones. A county that "got hit" but had normal claim density 60 days later probably wasn't damaged badly enough to file. Skip those.

Best for: validating which historical events actually produced claim volume. Not real-time.

Source 4: Satellite imagery + AI scoring (the modern unlock)

What sources 1-3 can't tell you: which specific addresses show roof damage from above.

Modern AI vision can detect post-storm signals:

• Circular bruise patterns — hail impact signature, visible on certain materials
• Granule displacement — lighter patches where hail knocked granules off
• Missing tabs — severe-impact homes with visible exposed underlayment
• Tarp installation — homeowner already doing emergency repair (high-intent prospect)

Combined with hail-event location data from Sources 1-2, AI satellite scoring tells you the specific 50-150 homes in a swath that show actual damage — vs. blanket-canvassing 5,000 homes in the impacted county.

But the real unlock is combining satellite and Street View imagery into one assessment. Roofbird reads both together and places each roof against the roofs either side of it — replace-now, worn, midlife, or already done — because a roof only means something next to its neighbours, and "everyone on this street went new except you" is the strongest close in the trade. Alongside that ranking sits a plain-English verdict in a roofer's words, the specific reasons behind it, the capture date of the imagery it was judged from, roof size in squares, plane count and pitch. On a one-click unlock, you get the homeowner's contact details: owner name, phone, email, mailing address (each phone DNC-scrubbed and labelled clear, DNC, or verify), owner-occupied vs absentee status, plus the full property record — estimated value with confidence, year built, last sale, beds/baths, square footage, lot size, stories, garage, tax, and lender. No separate skip-tracing tool needed. The property record and an owner-equity estimate — how much of the home they actually own, which is what decides whether someone can say yes — show free on every lead; only the phone and email sit behind the click.

Roofbird automatically cross-references hail events from NOAA with property-level scoring. The free trial includes hail-flagged leads in your service area. See the DFW sample for what the output looks like.

Two more things worth knowing before you spend anything. First, Roofbird tells you which blocks in a city are worth your morning before you draw anything: for each block it reports the housing era, what share of roofs read as weathered, how many homes are actually there (counted from building footprints, not estimated from area), whether hail has hit in the last 12 months, and whether the block is walkable or scattered acreage on long driveways — because a morning is measured in doors per hour, and acreage is bad canvassing even under a perfect storm. Second, every lead carries two scores instead of one. NEED is how badly the roof needs replacing, from condition and roof age alone. NOW is whether anything is forcing a decision on this house: visible active damage like a tarp or missing shingles, hail damage on this specific roof, a purchase in the last 18 months, patching already attempted, or neighbours who have re-roofed. Neighbourhood hail deliberately does not raise NOW, because every home in the scan shares it and it cannot separate one door from the next. Where a hail event is on record, Roofbird also shows roughly how long the homeowner has left to file a claim, based on the typical notice deadline in that state. That is an estimate — verify with the carrier, not a legal deadline.

Source 5: Direct visual confirmation (manual, high-trust)

For high-value or borderline prospects, drive-by + Google Earth + Street View remains useful. Three things you can confirm with manual checks that AI sometimes misses:

• Tarps that were placed AFTER the most recent satellite image was captured
• Repair-in-progress signs (dumpster, scaffolding, crew on site)
• Damage that's only visible from a specific angle

The manual check should be a SUPPLEMENT to AI-flagged candidates, not a primary method. Driving every street in a hail swath is too slow to scale. And be honest about which roofs you have actually seen: street-level imagery is newer than the aerial on the large majority of roofs, so a shortlist ranked from an old overhead tile can send you to doors that were re-roofed years ago. Roofbird checks every shortlist against the newer picture before you see it, moves anything already done down and says so out loud, and labels the houses it genuinely cannot judge — behind tree canopy, set too far back from the road — as exactly that rather than mixing them in with the confident ones.

The 90-day storm-chase workflow

Combining all five sources into a sustained routine:

Daily during storm season (March-October in TX):

• NOAA alert check (auto-email if you set it up)
• Commercial hail map dashboard scan (if subscribed)

Within 48 hours of a significant event:

• Map the swath using Sources 1+2
• Run an AI scan on the swath (Source 4)
• Filter for visible damage signatures and a live NOW trigger
• Build a knock list of 50-150 properties ranked by combined signal

Within 7 days:

• Door-knock or door-hang the top 50 (use a tested script)
• Schedule inspections with interested homeowners

Within 14 days:

• Complete inspections
• Help homeowners file claims if damage warrants
• Document scope of work for adjuster visits

Within 30 days:

• Cross-reference your contact list with insurance claim density data (Source 3) if your state publishes
• Identify any properties where homeowner filed but hasn't selected a contractor

Within 60 days:

• Re-canvas the swath — homes that didn't engage initially often come around once neighbors start replacing
• Re-pull permit data for competitive intel

Within 90 days:

• Post-mortem: which signals predicted closes best?
• Adjust the next event's playbook

Shops that run this routine systematically book more storm-chase work per event than reactive shops. The reason is not secret: they know where to knock before the storm hits, and they are not re-reading the same roofs every time. A building anyone has already assessed is never re-assessed from scratch and never re-charged, so re-scanning an area surfaces genuinely new homes instead of the same roofs again. If you want the full routine written out end to end, there's a storm-damage service-area workflow worth reading next.

The ethics part (real talk)

A few practical guidelines for ethical storm-chase work:

1. Inspect before pitching. Don't tell a homeowner their roof is damaged before you've actually looked. Lead with the inspection, not the conclusion.

2. Be honest about findings. If the roof took minor damage that doesn't warrant a claim, say so. The homeowner will remember the contractor who told them the truth.

3. Don't file claims on the homeowner's behalf. That's their decision. Provide documentation and context; let them choose.

4. Disclose any PA relationships. If you work with a public adjuster, the homeowner needs to know upfront. Hidden relationships are a regulatory trap.

5. Stand behind your work. Storm-chase reputation lives or dies on warranty follow-through. If you do quality work and stand behind it, the bad-actor stereotype doesn't stick to you.

One more, and it is the one that separates the ethical shops from the rest: say out loud which homes have no trigger. Most homes in a settled neighbourhood honestly have no forcing event, and a tool that invents urgency to look busy is not helping you. A ranking you can repeat at the door is worth more than a number nobody can defend.

What to do this week

If you've never done structured storm-chase prospecting:

1. Set up NOAA email alerts for your service-area state(s)
2. Bookmark ncdc.noaa.gov/stormevents for manual queries
3. Get a quote from one commercial hail-map service for your territory
4. Test AI damage detection on the most recent hail event in your area — see a live scored area without signing up
5. Build a 7-day reaction playbook your team can execute when the next event hits

The next big hail event in DFW (or wherever you operate) WILL happen. The shops that are ready in advance capture the next 30-60 days of work. The shops that scramble after each event spend the same 30-60 days losing to the prepared ones.

— Jake

FAQ

Q: How does Roofbird combine satellite and Street View into one assessment?
A: Roofbird's AI reads both the overhead satellite image and the ground-level Street View for each property. It cross-references visual damage signals like granule loss, bruise patterns, and tarps from above with curb-level details such as material type and visible wear, then places the roof against its immediate neighbours. The result is a plain-English verdict with the reasons behind it, plus two scores: NEED, for how badly the roof needs replacing, and NOW, for whether anything is forcing a decision on that specific house. One click unlocks the homeowner's contact details (DNC-scrubbed phone, email, mailing address, owner-occupied status) plus the full property record — no separate skip-tracing tool required.

Q: What does this cost?
A: One meter: credits. Looking is free, acting costs. The free trial is 10 credits, no credit card and no expiry. After that there are no subscriptions and no monthly plans — you buy one-off credit packs when you need them: Starter $49 for 49 credits, Crew $99 for 125, Hunter $199 for 300, Pro $399 for 800. Bought credits never expire and nothing renews. Asking, searching, sorting, saving lists, and scanning new ground at any size are free and unlimited, as are service areas. Credits are spent on reading a roof properly (both photographs and the property record in one go, 1 credit per 8 roofs), pulling the owner's name, phone and email (1 credit per 2 roofs), and opening a house completely (1 credit). A failed lookup is refunded; a "nobody listed" answer is charged once and cached so the same address is never charged again. Full detail on the pricing page.

Q: Is this the same as buying storm leads from a marketplace?
A: No. Marketplaces sell the same shared lead to several contractors, and they don't know your territory — they just sell you whoever filled in a form. Roofbird leads are self-sourced and exclusive, and every roof is ranked against its neighbours rather than given an abstract number. You can ask questions about the roofs in your area in plain English and get answers read from the photographs themselves. See the comparison with pay-per-lead.