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Maintenance & Repair · HM-09

Water, Fire & Storm Restoration Audiences

Water, fire, mold and storm damage restoration for owners in flood-prone and hurricane states.

Qualifying households32.4M

Across 139.5M U.S. households, 32.4M qualify for water, fire & storm restoration (23.2%), and 11.4M are in Tier 1, the closest fit. Built for service brands.

32.4MQualifying households
11.4MTier 1 households
15KIn-market site visitors
LargeTicket size

Households of 139.5M scored

Qualifying households
32,425,470
Tier 1 (closest fit)
11,388,881
Tier 2
21,036,589
Tier 3
0
Of which modeled homeowners
2,382,834
Recent visits to matching sites
15,379
Matching CTV viewing
519,323

Tiers rank qualifying households by score. Site visits and CTV viewing come from partner data covering about 2.8% of U.S. households, so they are an in-market layer on top of the tiers rather than a separate audience. Modeled homeowners come from Semcasting's ownership-likelihood model, where ownership is not recorded.

Who qualifies

Qualifying rules
Owners, weighted up in flood-prone and hurricane states; event-level targeting by ZIP is planned once storm feeds are joined
Strongest fit
home age 30+ yrs
Life events
Insurance claims after weather events
Timing
Propensity + regional risk

What drives the score share of the 0 to 100 score

Contextual browsing & CTV
30%
Property fit
15%
Life events
5%
Regional & seasonal
40%
Contractor density
10%
Semcasting intent flags
0%

For most households the score rests on property, life-event, regional and contractor-density fit. Browsing and CTV signals add to it where they exist.

When and where flight planning

Flight timing
PRIMARY: NWS flood warnings, named storms, tornado/hail reports, freeze events, wildfire smoke: geofence zip5 within 0-30 days
Regional focus
Flood + hurricane (23 states)

Top states by qualifying-share index

  1. Iowa
  2. Georgia
  3. Virginia
  4. Missouri
  5. Texas
  6. Kentucky

Where to reach them search themes, content and CTV

The language and content these households engage with, for search, contextual and CTV targeting. Example programming shows typical adjacency for each genre.

  • mold removal
  • dehumidifier
  • smoke damage
  • mold remediation
  • water damage restoration
  • flood cleanup
  • fire damage restoration
  • storm damage repair
  • basement flooding
  • water extraction
CTV genres
Weather, News (Content Type), Home & Garden
Example programming
Weather Channel, local news (storm aftermath), national news storm coverage
Content categories
Home Improvement, Home Insurance, Weather, Disasters

Contractors and trade audience Census ZIP Code Business Patterns 2023

NAICSU.S. establishments
Specialty Trade (restoration)23899042,278
Remediation Services5629104,882
Contractor establishments in qualifying ZIPs
0
Per 1,000 qualifying households
0.6

Trade audience: Restoration franchises; insurance adjusters and agents as a trade audience.

Common questions

How many households fit the water, fire & storm restoration audience?

32.4M U.S. households qualify (23.2% of 139.5M scored), and 11.4M are in Tier 1, the closest fit. 2.4M of the qualifying households are modeled homeowners rather than recorded ones. 15,379 also show recent visits to matching home services sites.

Who uses the water, fire & storm restoration audience?

It is built for home services franchises, contractor networks and the agencies that buy for them. Typical trade audience: restoration franchises; insurance adjusters and agents as a trade audience.

How is the water, fire & storm restoration audience built?

Households qualify on property and ownership rules (Owners, weighted up in flood-prone and hurricane states; event-level targeting by ZIP is planned once storm feeds are joined). Each is then scored 0 to 100 on contextual browsing & CTV 30%, property fit 15%, life events 5%, regional & seasonal 40%, contractor density 10%. It is not built from deed, permit or job records.

Evidence base data behind water, fire & storm restoration

  • Semcasting dataSemcasting household file
  • Semcasting dataSemcasting home improvement data
  • Semcasting modelSemcasting ownership-likelihood model
  • Semcasting dataSemcasting domain inventory
  • Partner dataHome services site visits (SSP partner data)
  • Industry standardIAB Tech Lab Content Taxonomy 2.2
  • Semcasting dataSemcasting CTV Genre Mapping
  • Federal statisticsCensus ZIP Code Business Patterns 2023
  • ClassificationNorth American Industry Classification System
  • Semcasting dataSemcasting contractor business sample
  • Semcasting dataSemcasting contractor data
  • Planned triggerNOAA National Hurricane Center
  • Planned triggerNOAA National Weather Service alerts
  • Federal statisticsFEMA National Flood Hazard Layer

How the audience is built

Every U.S. household in the Semcasting file is checked against the property and ownership rules above, then scored 0 to 100 on the weighted signals shown. Where ownership is not recorded, Semcasting's ownership-likelihood model adds households with a high probability of owning.

How it will be confirmed

Compare leads, booked jobs or sales by tier at equal spend, holding out a random 10% of each tier. Weights are refit against those results as campaign data comes in.

What it is not

Not a deed, permit, pool or job record for any household. Regional and seasonal rules are set by state today; storm and freeze event triggers are planned as weather feeds are joined.