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Condo & Townhome Owners · MF-04

Condo & Townhome Owner Upkeep Audiences

All condo, townhome and multi-unit owners as buyers of in-unit upkeep: cleaning, pest, handyman, HVAC servicing and window treatments.

Qualifying households4.8M

Across 139.5M U.S. households, 4.8M qualify for condo & townhome owner upkeep (3.4%), and 122K are in Tier 1, the closest fit. Built for service and retail: franchises and contractor networks as well as retailers and product brands.

4.8MQualifying households
122KTier 1 households
3KIn-market site visitors
SmallTicket size

Households of 139.5M scored

Qualifying households
4,756,616
Tier 1 (closest fit)
122,394
Tier 2
2,209,254
Tier 3
2,424,968
Recent visits to matching sites
2,661
Matching CTV viewing
4,996

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.

Who qualifies

Qualifying rules
Owner in a multi-unit or unit address
Strongest fit
home value $400K+
Intent signal
Semcasting window-treatment flag
Life events
New owner (window treatments, move-in cleaning), seniors, dual-income households
Timing
Propensity (always-on)

What drives the score share of the 0 to 100 score

Contextual browsing & CTV
40%
Property fit
20%
Life events
20%
Regional & seasonal
0%
Contractor density
10%
Semcasting intent flags
10%

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
No weather trigger
Regional focus
Timing only (applied at flight)

Top states by qualifying-share index

  1. Hawaii
  2. District of Columbia
  3. Massachusetts
  4. Illinois
  5. Florida
  6. Colorado

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.

  • window treatments
  • carpet cleaning
  • handyman
  • maid service
  • condo cleaning
  • blinds installation
  • pest control condo
  • hvac service
  • ptac unit
  • condo air conditioner
CTV genres
Home & Garden, Reality TV, Children's TV
Example programming
HGTV, home-organization shows, broad reality and family blocks
Content categories
Home Improvement, Indoor Environmental Quality, Interior Decorating, Apartments

Contractors and trade audience Census ZIP Code Business Patterns 2023

NAICSU.S. establishments
Residential Property Managers53131169,824
Exterminating & Pest Control Services56171012,046
Janitorial Services56172078,687
Carpet & Upholstery Cleaning5617402,301
Contractor establishments in qualifying ZIPs
0
Per 1,000 qualifying households
33.9

Trade audience: Cleaning, pest and window-treatment franchises; property managers as a referral channel.

Common questions

How many households fit the condo & townhome owner upkeep audience?

4.8M U.S. households qualify (3.4% of 139.5M scored), and 122K are in Tier 1, the closest fit. 2,661 also show recent visits to matching home services sites.

Who uses the condo & townhome owner upkeep audience?

It is built for home services franchises and contractor networks, home-improvement retailers and product brands, and their agencies. Typical trade audience: cleaning, pest and window-treatment franchises; property managers as a referral channel.

How is the condo & townhome owner upkeep audience built?

Households qualify on property and ownership rules (Owner in a multi-unit or unit address). Each is then scored 0 to 100 on contextual browsing & CTV 40%, property fit 20%, life events 20%, contractor density 10%, semcasting intent flags 10%. It is not built from deed, permit or job records.

Evidence base data behind condo & townhome owner upkeep

  • 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.