Snow Removal & Snow Blowers Audiences
Snow plowing, shoveling services and snow blowers for snow-belt owners, especially seniors with larger driveways.
Across 139.5M U.S. households, 29.3M qualify for snow removal & snow blowers (21.0%), and 6.5M are in Tier 1, the closest fit. Built for service and retail: franchises and contractor networks as well as retailers and product brands.
Households of 139.5M scored
- Qualifying households
- 29,341,464
- Tier 1 (closest fit)
- 6,509,537
- Tier 2
- 22,831,927
- Tier 3
- 0
- Of which modeled homeowners
- 1,511,776
- Recent visits to matching sites
- 28,990
- Matching CTV viewing
- 693,286
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
- Owner, single-family, snow-belt state; seniors 65+ for service, under 65 + lot 1/4 ac+ for equipment
- Strongest fit
- lot 1/2 ac+
- Life events
- Seniors (safety), new movers from warm climates
- Timing
- Seasonal + storm trigger
What drives the score share of the 0 to 100 score
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: winter storm watch/warning, 4in+ forecast: 72-hr pre-storm and 48-hr post-storm flights; Oct pre-season contracts
- Regional focus
- Snow belt (24 states)
Top states by qualifying-share index
- Iowa
- Michigan
- Indiana
- Minnesota
- Idaho
- Ohio
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.
- snow blower
- snow removal
- snowblower reviews
- ice melt
- roof rake
- snow plowing service
- driveway plowing
- snow shoveling service
- winter storm prep
- ice dam removal
- CTV genres
- Weather, News (Content Type), Sports
- Example programming
- Weather Channel, local news winter storm coverage, NFL/college football (winter weekends)
- Content categories
- Weather, Home Improvement, Home Appliances
Contractors and trade audience Census ZIP Code Business Patterns 2023
| NAICS | U.S. establishments |
|---|---|
| Outdoor Power Equipment Stores444210 | 763 |
| Landscaping (winter services)561730 | 143,689 |
| Other Services to Buildings (snow plowing)561790 | 14,197 |
- Contractor establishments in qualifying ZIPs
- 0
- Per 1,000 qualifying households
- 2.2
Trade audience: Plow contractors and outdoor power equipment dealers.
Common questions
How many households fit the snow removal & snow blowers audience?
29.3M U.S. households qualify (21.0% of 139.5M scored), and 6.5M are in Tier 1, the closest fit. 1.5M of the qualifying households are modeled homeowners rather than recorded ones. 28,990 also show recent visits to matching home services sites.
Who uses the snow removal & snow blowers audience?
It is built for home services franchises and contractor networks, home-improvement retailers and product brands, and their agencies. Typical trade audience: plow contractors and outdoor power equipment dealers.
How is the snow removal & snow blowers audience built?
Households qualify on property and ownership rules (Owner, single-family, snow-belt state; seniors 65+ for service, under 65 + lot 1/4 ac+ for equipment). Each is then scored 0 to 100 on contextual browsing & CTV 25%, property fit 15%, life events 10%, regional & seasonal 40%, contractor density 10%. It is not built from deed, permit or job records.
Evidence base data behind snow removal & snow blowers
- 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 Weather Service alerts
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.