Check out 10 surveys targeting homeownership. Learn how they pose their questions and view the written responses.
This is a 5 option poll with 100 respondents targeting Homeownership (Own, Own). A sample of responses:
This is a 3 option poll with 100 respondents targeting Gender identity (Female), Homeownership (Own), and Amazon Prime member (Yes). A sample of responses:
This is a 2 option poll with 500 respondents targeting Homeownership (Own). A sample of responses:
This is a 6 option poll with 100 respondents targeting Age range (35 44, 65 74, 55 64, 45 54) and Homeownership (Own). A sample of responses:
This is a 4 option poll with 50 respondents targeting Homeownership (Own), Personal income range ($101k+), Age range (35 44, 45 54, 25 34, 55 64), and U.S. geographic region (Pacific). A sample of responses:
This is a 4 option poll with 100 respondents targeting Age range (25 34, 35 44) and Homeownership (Own). A sample of responses:
This is a 4 option poll with 50 respondents targeting Podcast listener (Yes), Homeownership (Rent), and Age range (25 34). A sample of responses:
This is a 2 option poll with 50 respondents targeting Homeownership (Own). A sample of responses:
This is a 0 option poll with 50 respondents targeting Homeownership (Rent). A sample of responses:
This is a 2 option poll with 50 respondents targeting Homeownership (Own). A sample of responses:
Homeownership targeting is often combined with age range targeting, amazon prime member targeting, recently purchased categories targeting, personal income range targeting, gender identity targeting, type of residence targeting, pet owner targeting, household income range targeting, smart assistant user targeting, streaming device targeting, small business owner targeting, education level targeting, u.s. geographic region targeting, hobbies and interests targeting, age of kids targeting, racial or ethnic identity targeting, relationship status targeting, type of community targeting, podcast listener targeting, credit score targeting, college enrollment targeting, beauty product preferences targeting, preferred decor style targeting, and mobile gaming frequency targeting.