The most 'adventurous' cities in the US, according to social media activity.
May 16, 2022
Top 5 Most ‘Adventurous’ Cities
Nights under the stars, arduous hikes with breathtaking views, and fresh mountain air. The world is full of wonders to explore, and people enjoy sharing their discoveries on social media. The result is the ‘Outdoor Adventures’ segment.
What is the ‘Outdoor Adventures’ segment?
The ‘Outdoor Adventures’ segment is one of 70+ segments from our Proximity dataset that describes what places are like based on the behaviors happening there via social media activity. Below is an overview of this segment.
Description: Appreciating the outdoors, this segment wants to actively engage with nature. Whether it's finding a new hiking trail or looking for the perfect spot to catch the sunset, they seek to explore the world around them.
Can you guess which cities are hotspots for this type of activity? Below are the top five cities for ‘Outdoor Adventures’ behavior.
1. Bend, OR (+77%) 2. Missoula, MT (+72%) 3. Marquette, MI (+61%) 4. Grand Junction, CO (+57%) 5. Juneau, AK (+56%)
Note: Percentages indicate a percentage increase compared to the US national average (i.e. a city labeled ‘+25%’ means that the behavior is 25% more prevalent in that city compared to the national average.)
About the Data
The ‘Outdoor Adventures’ segment is one of 70+ segments from our Proximity dataset that describes what places are like based on the behaviors happening there via social media activity. Hundreds of retailers, restaurants, and property owners use Proximity data to select better sites, optimize marketing campaigns, and recruit ideal tenants to their shopping centers.
Request a demo to see if our data can provide the insight you need for your use case.
How PersonaLive Segmentation System Works
Personalive segmentation uses social media, mobile foot traffic, online activity, and individual-level demographics to organize every US household into one of 80 behavioral segments. These segments provide visibility to the online and offline preferences of the customers visiting any US property.
Draw a polygon around a property to identify the behavioral segment of every visitor.
Rank the top customer types visiting a location. Then match retailers based on online and offline activities of visitors.
Demonstrate visitor brand affinity to close deals. Activate marketing campaigns to drive target segments to your location.
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