Community Type Audience Targeting

Polls based on Community Type specific focus groups: Urban, Suburban, and Rural

Polls with Community Type-specific Targeting

Check out 4 surveys targeting community type. Learn how they pose their questions and view the written responses.

  • We are creating a baby clothing line. All the clothes will be organic and we are aiming to be a higher end, more expensive brand. This name is for the brand/website.

    This is a 3 option poll with 50 respondents targeting Community Type (Suburban). A sample of responses:

    • Option A is cute and I think it refers more to childs clothing
    • sounds classier, more high-end
    • It gives a good idea of what the brand stands for.
    • Budding Bear is a cute name for a clothing line given the choice between these two names. Simplee Pure is a name that is more common and almost seen before. It is not memorable. Budding Bear is more unique.
    • I dislike deliberately misspelling words for a product or business name so that rules out the second place option and leaves me to choose this one that doesn't misspell anything.

  • Which ad makes you think “yes, I could do that.”

    This is a 4 option poll with 50 respondents targeting Community Type (Urban, Suburban) and US Geographic Region (Pacific). A sample of responses:

    • The people in the ad seem closer to my age than the woman in the other ad... I can relate to the couple more.
    • The people in option D just seem happier since they're all smiling and looking at camera.
    • The elderly lady on the right looks nice, and it shows the young and old working together and being kind to each other
    • Both of these are great ads, but the family unit is really important to young children. The ad shows that there is a big interest in fostering a child and that means that there is a strong support network for foster parents to utilize in raising children.
    • C seems more informative.

  • Which ad would make you take action to learn more about foster parenting or mentoring (e.g. attend an orientation, sign up for an informational webinar)?

    This is a 5 option poll with 50 respondents targeting US Geographic Region (Pacific) and Community Type (Suburban, Urban). A sample of responses:

    • D shows that that is support is wide
    • Option E once again really highlights the idea that someone like me with limited resources could make a difference in someones life even though I could not commit to raising a child.
    • Again, I chose D because it simply fits the typical family dynamic. Picture E is good too, but it's simply just a bunch of kids, whereas Picture D has a broader appeal in terms of advertising familial values.
    • I choose E, because it tells of a fact that most people do not know. Many people would not know that they can help out for just a few hours and with less commitment than being a foster host. More people will relate and act on that information knowing the obligations upfront.
    • the message is key in this ad, revealing that their are other ways to help teens other than being a foster parent.

  • Based on the image, which product would you buy?

    This is a 4 option poll with 50 respondents targeting Community Type (Suburban, Urban) and Amazon Prime Membership (Yes). A sample of responses:

    • I would buy from B or A because I know exactly what I am getting.
    • Shows how the runner and placemats look when in use.
    • Those choices were the most professional of all the ones presented to me.
    • I ranked the images of the decorative cloth that I thought looked the most attractive.
    • I would choose B and C because I can get an idea of what the item looks like and how it can be styled with other items.

Community Type targeting is often combined with income targeting, age targeting, age range targeting, education targeting, us geographic region targeting, amazon prime membership targeting, political affiliation targeting, credit score targeting, number of kids targeting, coffee drinker targeting, gender targeting, employment status targeting, home ownership targeting, mobile device targeting, religious affiliation targeting, credit cards targeting, ethnicity targeting, and literary preference targeting.

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