Explore the Wisconsin Travel & Tourism Cluster Audience
Below you'll find more information about the Wisconsin Travel & Tourism Cluster audience, broken down in different categories based on their digital and physical behaviors. These are 2.1 million unique devices whose actions qualify for the Wisconsin Travel & Tourism Cluster audience.
INTERESTS
The Wisconsin Travel & Tourism Cluster audience exhibits a variety of interests and behaviors.
As seen below, the leading interest for the Wisconsin Travel & Tourism Cluster audience is Green Bay Packers Fans.
| Interest | Composition | Index |
| Green Bay Packers Fans | 65.84% | 22.65x |
| Milwaukee Brewers Fans | 47.58% | 17.53x |
| Wisconsin County and Local Fair Visitors | 54.39% | 16.48x |
| Budget Wireless Shoppers | 26.15% | 9.44x |
| Rapid City Trip Planners | 21.20% | 9.31x |
| Milwaukee Bucks Fans | 22.36% | 8.70x |
| Country Music Fans | 19.14% | 8.39x |
| Liberal News Readers | 16.82% | 8.18x |
| Minnesota Vikings Fans | 19.35% | 8.01x |
| Iowa Hawkeyes Fans | 20.71% | 7.65x |
Composition Percentage:
The overlap percentage between the Wisconsin Travel & Tourism Cluster audience and the Interest attribute.
Index: A comparison of the Wisconsin Travel & Tourism Cluster audience to the internet population.
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APPAREL RETAILERS
The Wisconsin Travel & Tourism Cluster audience visits and shops at a variety of apparel retail locations.
As seen below, the apparel retail location most frequented by the Wisconsin Travel & Tourism Cluster audience is Aeropostale.
| Location | Composition | Index |
| Aeropostale | 0.03% | 5.62x |
| White House Black Market | 0.03% | 4.00x |
| Victoria's Secret | 0.03% | 2.99x |
| Maurices | 0.04% | 2.85x |
| Carhartt | 0.25% | 1.47x |
| Lane Bryant | 0.01% | 1.33x |
| Journeys | 0.01% | 1.18x |
| Old Navy | 0.01% | 0.99x |
| Mens Wearhouse | 0.01% | 0.82x |
Composition Percentage:
The overlap percentage between the Wisconsin Travel & Tourism Cluster audience and the Location attribute.
Index: A comparison of the Wisconsin Travel & Tourism Cluster audience to the internet population.
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WEBSITES
The Wisconsin Travel & Tourism Cluster audience is distinctive due to the websites they visit.
As seen below, the highest indexing website for the Wisconsin Travel & Tourism Cluster audience is radioplusinfo.com.
| Website | Composition | Index |
| radioplusinfo.com | 1.50% | 92.15x |
| wisconsinrapidstribune.com | 4.39% | 87.97x |
| wearegreenbay.com | 20.94% | 86.67x |
| marshfieldnewsherald.com | 2.50% | 83.97x |
| wiproud.com | 1.28% | 82.07x |
| thenorthwestern.com | 5.86% | 81.67x |
| wxow.com | 12.94% | 81.30x |
| firstweber.com | 2.12% | 79.11x |
| leadertelegram.com | 5.68% | 78.78x |
| wausaudailyherald.com | 8.43% | 77.90x |
Composition Percentage:
The overlap percentage between the Wisconsin Travel & Tourism Cluster audience and the Web attribute.
Index: A comparison of the Wisconsin Travel & Tourism Cluster 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 Wisconsin Travel & Tourism Cluster audience is Wisconsin Universities.
| Content Affinity | Composition | Index |
| Wisconsin Universities | 40.06% | 33.89x |
| Wisconsin Local Research Cluster | 43.02% | 28.33x |
| Minnesota Community Business Cluster | 3.53% | 12.65x |
| Farming & Agriculture | 0.91% | 12.48x |
| North Dakota Cluster | 9.72% | 11.01x |
| Fishing | 3.09% | 10.24x |
| Environmental Conservation | 0.05% | 9.69x |
| Local & Travel England - North Midlands | 0.05% | 9.59x |
| Assorted Topics (Web Hosting, Fiction Storytelling, Research) | 0.03% | 9.57x |
| South Dakota Cluster | 5.61% | 9.30x |
Composition Percentage:
The overlap percentage between the Wisconsin Travel & Tourism Cluster audience and the Content Affinity attribute.
Index: A comparison of the Wisconsin Travel & Tourism Cluster audience to the internet population.
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DEMOGRAPHICS
The Wisconsin Travel & Tourism Cluster audience resonates most for the following age bracket and gender.
Age
35-44
Gender
Female
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