Check out 7 surveys targeting beauty product preferences. Learn how they pose their questions and view the written responses.
This is a 0 option poll with 50 respondents targeting Beauty product preferences (High Quality, Luxurious Products), Household income range ($75 150k, $150k+), Age range (25 34, 45 54, 35 44), and Hobbies and interests (Health And Fitness). A sample of responses:
This is a 1 option poll with 50 respondents targeting Age range (35 44, 45 54, 55 64), Hobbies and interests (Health And Fitness), Beauty product preferences (High Quality, Luxurious Products), and Household income range ($150k+, $75 150k). A sample of responses:
This is a 2 option poll with 15 respondents targeting Online shopping marketplaces (Amazon) and Beauty product preferences (High Quality, Luxurious Products, Good Quality And Affordable). A sample of responses:
This is a 4 option poll with 30 respondents targeting Beauty product preferences (High Quality, Luxurious Products). A sample of responses:
This is a 0 option poll with 75 respondents targeting Beauty product preferences (Cruelty Free, Vegan, 100% Organic ) and Amazon Prime member (Yes). A sample of responses:
This is a 0 option poll with 50 respondents targeting Household income range ($150k+, $75 150k), Favorite stores for beauty products (Beauty Store (E.G. Ulta, Sephora), Amazon), Gender identity (Female), and Beauty product preferences (Good Quality And Affordable, Cruelty Free, Vegan, 100% Organic ). A sample of responses:
This is a 0 option poll with 100 respondents targeting Cosmetics and body care habits (Just The Basics (0 4)), Beauty product preferences (High Quality, Luxurious Products, Good Quality And Affordable), Gender identity (Female), and Amazon Prime member (Yes). A sample of responses:
Beauty Product Preferences targeting is often combined with age range targeting, gender identity targeting, amazon prime member targeting, favorite stores for beauty products targeting, household income range targeting, cosmetics and body care habits targeting, skin concerns targeting, nutritional supplement use targeting, hobbies and interests targeting, education level targeting, mobile device targeting, and online shopping marketplaces targeting.