The most 'motherly' cities in the US, according to social media activity.
May 3, 2022
Motherhood brings with it a broad range of emotions and experiences. And in today’s digital age, moms seek opportunities to connect with other moms and share these experiences on social media. The sum of these publicly shared moments makes up the ‘Connected Motherhood’ segment.
What is the ‘Connected Motherhood’ segment?
The ‘Connected Motherhood’ 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: Motherhood is a unique journey for every woman. There are highs, lows, and lots to celebrate. These moms seek to share their experiences and engage with a community of moms.
While moms are everywhere, our dataset captures where this type of social behavior is most prevalent. Below are the top five cities for ‘Connected Motherhood’ behavior.
1. Charlotte, NC (+16%)
2. Charlottesville, VA (+16%)
3. Cincinnati, OH (+11%)
4. Jonesboro, AR (+9%)
5. Louisville, KY (+9%)
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 ‘Connected Motherhood’ 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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