Vancouver, British Columbia – February 13, 2020
Tetrad, a leader in the real estate and market analytics industry, and Spatial.ai today announce a new partnership integrating Geosocial data into Tetrad’s Sitewise platform. Sitewise clients in the United States and Canada will now have access to a state-of-the-art, location-based social media dataset to support market research and location analytics. With access to social media behaviors of consumers nationwide, analysts can now layer traditional consumer data like demographics and psychographics with real-time, self-contributed lifestyle segmentation.
Communities, like people, are unique and cannot be accurately defined by a single demographic or psychographic characterization. Spatial.ai’s Geosocial dataset allows decision makers to better understand each community’s multifaceted interests. Are the people in my area of study interested in wellness? Are they also craft brew lovers who have a penchant for traveling? How does the block group rank nationally for nightlife, artistic behavior, outdoors activities? 72 interest categories are featured in the platform and include segments such as Bookish, Dog Lovers, Girl Squad, Hops & Brews, Trendy Eats, and Yoga Advocates.
Sitewise users will be able to use Geosocial to:
- Scientifically select new sites that align with community interests
- Reduce error in sales forecasting models
- Identify key customer segments that drive success for a brand
- Uncover additional markets where key customers are located
In the face of countless store closures, acquisitions, and bankruptcies, many have predicted catastrophe for brick & mortar retail. However, these warnings speak more to the changing needs of consumers than they do to retail’s demise. More accurately, consumers are demanding something new from their shopping experiences.
With 80% of the US population using Social Media (40% over the age of 65), this data source has become vast and is extremely descriptive of a community’s changing characteristics, including shoppers’ interests. With Geosocial as an additional variable in the Sitewise toolkit, analysts can stay ahead of the changing needs of their customers by listening and responding to their desires.
“Tetrad is always looking to stay ahead of the game and integrate the most impactful data and tools into our platform. What Spatial.ai has been able to capture with this dataset is truly remarkable. They’ve found a large void in the suite of tools available to support location analytics and have filled it perfectly. We’re extremely excited for our new partnership and look forward to bringing our clients a unique user experience to utilize Geosocial data to the fullest and make an impact on their organizations," said Tetrad President, Michael Simon.
“Tetrad’s Sitewise platform is known for weaving together multiple datasets to make the complex possible. Now, by adding Geosocial to a retailer’s workflow, analysts are able to understand the types of customers in proximity to a subject site. What would have taken hours of boots-on-the-ground research and surveying, Sitewise users can now get in seconds,” commented Spatial.ai CEO, Lyden Foust.
About Tetrad: Tetrad is an agile location analytics company helping clients make better strategic real estate decisions. Tetrad designs highly customizable Sitewise solutions for organizations in the restaurant, retail, real estate and healthcare sectors across North America. Curious and proactive, the Tetrad team works closely our clients to deeply understand their needs and deliver the right mix of data, tools and support services to solve their complex business challenges.
About Spatial.ai: Spatial.ai’s Geosocial data is the world’s first human-driven location dataset – built by organizing billions of location-based social media into 72 segments. Companies like Ford, Phillips Edison, and Keller Williams use Geosocial data to predict demand, select locations and uncover the invisible community characteristics that have a bottom-line impact on their business. Spatial.ai is backed by Serra Ventures, M25, Futureshape, and Techstars. They have won multiple awards in machine learning and artificial intelligence from Google, Fortune Magazine, and Disruptor Daily. For more information, visit the company website at https://spatial.ai/.