Home Services Audience Briefs  ·  Homeowner audiences for service brands, retailers and agencies  ·  audience@semcasting.com

Lawn, Garden & Outdoor · LG-10

Outdoor Power Equipment Audiences

Mowers, zero-turns, trimmers, chainsaws and generators for large-lot suburban/rural DIY owners.

Qualifying households30.6M

Across 139.5M U.S. households, 30.6M qualify for outdoor power equipment (21.9%), and 5.3M are in Tier 1, the closest fit. Built for retail & product brands.

30.6MQualifying households
5.3MTier 1 households
29KIn-market site visitors
Small-MidTicket size

Households of 139.5M scored

Qualifying households
30,576,778
Tier 1 (closest fit)
5,334,094
Tier 2
13,062,838
Tier 3
12,179,846
Of which modeled homeowners
1,707,107
Recent visits to matching sites
28,525
Matching CTV viewing
202,120

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 1/2 ac+ (riding/zero-turn) or 1/4 ac+ (walk-behind), income $50K+
Strongest fit
lot 1 ac+
Life events
New mover to suburban/rural property, retirement
Timing
Propensity + seasonal

What drives the score share of the 0 to 100 score

Contextual browsing & CTV
35%
Property fit
35%
Life events
10%
Regional & seasonal
10%
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
Spring green-up, hurricane/ice season (generators, chainsaws)
Regional focus
Hurricane + snow (generators/saws) (33 states)

Top states by qualifying-share index

  1. New Hampshire
  2. Connecticut
  3. Vermont
  4. Maine
  5. Tennessee
  6. Indiana

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.

  • lawn mower
  • leaf blower
  • pressure washer
  • string trimmer
  • chainsaw
  • riding mower
  • generator
  • zero turn mower
  • mower reviews
CTV genres
Sports, Outdoor Activities, Automotive
Example programming
NFL / college football, NASCAR, hunting & fishing programming, Outdoor Channel, farm & ranch content
Content categories
Home Appliances, Landscaping, Gardening

Contractors and trade audience Census ZIP Code Business Patterns 2023

NAICSU.S. establishments
Outdoor Power Equipment Stores444210763
Landscaping Services (commercial equipment buyers)561730143,689
Home & Garden Equipment Repair811411117
Contractor establishments in qualifying ZIPs
0
Per 1,000 qualifying households
4.7

Trade audience: Outdoor power equipment brands and dealers; landscapers as commercial equipment buyers.

Common questions

How many households fit the outdoor power equipment audience?

30.6M U.S. households qualify (21.9% of 139.5M scored), and 5.3M are in Tier 1, the closest fit. 1.7M of the qualifying households are modeled homeowners rather than recorded ones. 28,525 also show recent visits to matching home services sites.

Who uses the outdoor power equipment audience?

It is built for home-improvement retailers, tool and product brands and their agencies. Typical trade audience: outdoor power equipment brands and dealers; landscapers as commercial equipment buyers.

How is the outdoor power equipment audience built?

Households qualify on property and ownership rules (Owner, single-family, lot 1/2 ac+ (riding/zero-turn) or 1/4 ac+ (walk-behind), income $50K+). Each is then scored 0 to 100 on contextual browsing & CTV 35%, property fit 35%, life events 10%, regional & seasonal 10%, contractor density 10%. It is not built from deed, permit or job records.

Evidence base data behind outdoor power equipment

  • 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
  • Planned triggerNOAA National Hurricane Center

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.