Explore the New Years Eve Party Ticket Purchasers Audience
Below you'll find more information about the New Years Eve Party Ticket Purchasers audience, broken down in different categories based on their digital and physical behaviors. These are 1.6 million unique devices whose actions qualify for the New Years Eve Party Ticket Purchasers audience.
INTERESTS
The New Years Eve Party Ticket Purchasers audience exhibits a variety of interests and behaviors.
As seen below, the leading interest for the New Years Eve Party Ticket Purchasers audience is Airbnb Researchers.
| Interest | Composition | Index |
| Airbnb Researchers | 15.27% | 23.67x |
| Harvard University Fans | 9.53% | 20.34x |
| Order-in Eaters | 17.77% | 19.25x |
| Sightseeing Travelers | 11.34% | 18.01x |
| Office Supply Shoppers | 8.52% | 17.80x |
| Car Rental Shoppers | 14.23% | 17.40x |
| Modern Art Museum Researchers | 20.85% | 16.56x |
| Restaurant Reservation Enthusiasts | 10.87% | 16.55x |
| Certified Events Professionals | 41.23% | 16.47x |
| Vacation Planners | 10.35% | 16.44x |
Composition Percentage:
The overlap percentage between the New Years Eve Party Ticket Purchasers audience and the Interest attribute.
Index: A comparison of the New Years Eve Party Ticket Purchasers audience to the internet population.
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APPAREL RETAILERS
The New Years Eve Party Ticket Purchasers audience visits and shops at a variety of apparel retail locations.
As seen below, the apparel retail location most frequented by the New Years Eve Party Ticket Purchasers audience is J. Crew.
| Location | Composition | Index |
| J. Crew | 0.01% | 1.66x |
| Lululemon | 0.01% | 1.59x |
| Dressbarn | 0.01% | 1.45x |
| Chicos | 0.02% | 1.45x |
| Victoria's Secret | 0.01% | 1.31x |
| H&M | 0.01% | 1.24x |
| White House Black Market | 0.01% | 1.19x |
| Zumiez | 0.02% | 1.19x |
| Journeys | 0.02% | 1.18x |
| Old Navy | 0.02% | 1.17x |
Composition Percentage:
The overlap percentage between the New Years Eve Party Ticket Purchasers audience and the Location attribute.
Index: A comparison of the New Years Eve Party Ticket Purchasers audience to the internet population.
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WEBSITES
The New Years Eve Party Ticket Purchasers audience is distinctive due to the websites they visit.
As seen below, the highest indexing website for the New Years Eve Party Ticket Purchasers audience is lukebryan.com.
| Website | Composition | Index |
| lukebryan.com | 4.11% | 95.32x |
| laughfactory.com | 2.19% | 93.82x |
| anime-expo.org | 1.55% | 75.16x |
| vettix.org | 3.94% | 67.33x |
| diaryofatorontogirl.com | 2.87% | 58.01x |
| yale.edu | 3.16% | 54.75x |
| eventbrite.com | 1.57% | 53.47x |
| musikfest.org | 1.23% | 47.65x |
| zoom.us | 3.59% | 34.29x |
| lsu.edu | 3.52% | 32.98x |
Composition Percentage:
The overlap percentage between the New Years Eve Party Ticket Purchasers audience and the Web attribute.
Index: A comparison of the New Years Eve Party Ticket Purchasers audience to the internet population.
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CONTENT AFFINITIES
Content Affinities are Dstillery's proprietary way of categorizing the internet.
As seen below, the most visited Content Affinity for the New Years Eve Party Ticket Purchasers audience is Philanthropy - Nonprofits.
| Content Affinity | Composition | Index |
| Philanthropy - Nonprofits | 0.10% | 25.57x |
| Assorted Topics (Children'S Activities, Outdoor Play, Viral Media) | 0.11% | 22.16x |
| Online Ticket Buyers | 1.47% | 20.42x |
| Philanthropy - Charities & Fundraising | 0.43% | 19.30x |
| Los Angeles Cluster | 0.10% | 18.02x |
| New England Universities | 0.89% | 17.60x |
| Writing Resources | 0.08% | 17.41x |
| Marketing Professionals | 0.09% | 16.13x |
| Los Angeles Tourism | 1.22% | 15.12x |
| California Universities | 0.19% | 14.86x |
Composition Percentage:
The overlap percentage between the New Years Eve Party Ticket Purchasers audience and the Content Affinity attribute.
Index: A comparison of the New Years Eve Party Ticket Purchasers audience to the internet population.
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DEMOGRAPHICS
The New Years Eve Party Ticket Purchasers audience resonates most for the following age bracket and gender.
Age
25-34
Gender
Female
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