Check out 10 surveys targeting homeownership. Learn how they pose their questions and view the written responses.
This is a 1 option poll with 15 respondents targeting Household income range ($150k+), U.S. geographic region (Southeast), and Homeownership (Own). A sample of responses:
This is a 2 option poll with 15 respondents targeting Personal income range ($61 100k, $31 60k), Homeownership (Own), Hobbies and interests (Interior Decorating / Renovating), and Age range (25 34, 35 44). A sample of responses:
This is a 5 option poll with 100 respondents targeting Homeownership (Own). A sample of responses:
This is a 0 option poll with 50 respondents targeting Homeownership (Own). A sample of responses:
This is a 0 option poll with 15 respondents targeting Type of residence (Single Family Home / Townhouse), Homeownership (Own), and Amazon Prime member (Yes). A sample of responses:
This is a 1 option poll with 30 respondents targeting Homeownership (Own) and Amazon Prime member (Yes). A sample of responses:
This is a 2 option poll with 50 respondents targeting Homeownership (Own) and Amazon Prime member (Yes). A sample of responses:
This is a 2 option poll with 30 respondents targeting Amazon Prime member (Yes) and Homeownership (Own). A sample of responses:
This is a 2 option poll with 30 respondents targeting Homeownership (Own) and Amazon Prime member (Yes). A sample of responses:
This is a 0 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, household income range targeting, work industry targeting, small business owner targeting, gender identity targeting, relationship status targeting, type of residence targeting, political affiliation targeting, online shopping marketplaces targeting, type of community targeting, hobbies and interests targeting, pet owner targeting, education level targeting, u.s. geographic region targeting, employment status targeting, credit score targeting, recently purchased categories targeting, car fuel type targeting, racial or ethnic identity targeting, interest in cooking targeting, and kindle users targeting.