Lawn Care Service Prospects
Single-family owners with sizeable lawns and income to outsource fertilization, weed control and mowing.
Across 139.5M U.S. households, 19.1M qualify for lawn care service prospects (13.7%), and 8.3M are in Tier 1, the closest fit. Built for service brands.
Households of 139.5M scored
- Qualifying households
- 19,068,519
- Tier 1 (closest fit)
- 8,342,365
- Tier 2
- 8,588,388
- Tier 3
- 2,137,766
- Of which modeled homeowners
- 915,621
- Recent visits to matching sites
- 16,837
- Matching CTV viewing
- 155,949
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, lot 1/4 ac+, income $75K+, age 35+
- Strongest fit
- lot 1/2 ac+
- Life events
- New mover (inherited lawn), dual-income with kids, seniors no longer mowing
- Timing
- Propensity + seasonal
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
- Soil temp > 55F (spring green-up), fall aeration window; pause in drought restrictions/snow
- Regional focus
- Timing only (applied at flight)
Top states by qualifying-share index
- New Hampshire
- Connecticut
- Massachusetts
- Vermont
- Minnesota
- Iowa
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.
- weed control
- aeration
- overseeding
- crabgrass
- lawn disease
- grub control
- organic lawn care
- lawn treatment
- lawn care cost
- lawn care service
- CTV genres
- Home & Garden, Sports, Outdoor Activities
- Example programming
- Weekend sports (golf, college football, NFL Sunday), HGTV Yard Crashers, outdoor/hunting & fishing blocks
- Content categories
- Landscaping, Gardening
Contractors and trade audience Census ZIP Code Business Patterns 2023
| NAICS | U.S. establishments |
|---|---|
| Landscaping Services561730 | 143,689 |
- Contractor establishments in qualifying ZIPs
- 0
- Per 1,000 qualifying households
- 7.4
Trade audience: Lawn-care companies and franchises, plus turf-product suppliers and mower fleets.
Common questions
How many households fit the lawn care service prospects audience?
19.1M U.S. households qualify (13.7% of 139.5M scored), and 8.3M are in Tier 1, the closest fit. 916K of the qualifying households are modeled homeowners rather than recorded ones. 16,837 also show recent visits to matching home services sites.
Who uses the lawn care service prospects audience?
It is built for home services franchises, contractor networks and the agencies that buy for them. Typical trade audience: lawn-care companies and franchises, plus turf-product suppliers and mower fleets.
How is the lawn care service prospects audience built?
Households qualify on property and ownership rules (Owner, single-family, lot 1/4 ac+, income $75K+, age 35+). Each is then scored 0 to 100 on contextual browsing & CTV 30%, property fit 30%, life events 15%, regional & seasonal 15%, contractor density 10%. It is not built from deed, permit or job records.
Evidence base data behind lawn care service prospects
- 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.