A US company is offering a dataset of detailed location information derived from billions of social media datapoints.
Based on social media data that has a location associated with it, the Geosocial dataset from Spatial.ai is made up of activities, attitudes and behaviours, together with insights on factors such as income, political affiliation and education level, all based around location. It gives analysts, data scientists, marketers and real estate professionals access to 72 variables to build detailed consumer profiles of different districts across the United States and Canada.
Categories include: Bookish, Dog Lovers, Fitness Fashion, Family Time, Deal Seeking, Wine Lovers, LGBTQ Culture and Hipster.
Visit the Spatial.ai website to learn more about the 72 social segments in the taxonomy.
“We’re finally seeing how real human behaviour compares to traditional location datasets, like information from the Census,” said Griffin Morris, Spatial co-founder and VP of Product. “Companies are discovering countless insights; like communities that talk about spending time with their families tend to have higher incomes. Or neighbourhoods that talk a lot about yoga are less likely to identify as religious. Most importantly for our clients, it allows businesses to understand the people and activity causing sales performance.”
“This dataset comes at a time when there are a record number of brick and mortar closings,” added Lyden Foust, CEO of Spatial. “E-commerce pressure makes every location decision critical. Standard demographics just do not cut it. The intersection of mobile and social data has created a phenomenal opportunity to bring a quantified human voice to all location decisions.”
Clients are already using the data to successfully map behaviours in their markets and predict business performance, Spatial.ai said.
The company is offering a sample data set free of charge.
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