EP 63: A Data Driven Approach for Selecting Brick & Mortar or Pop-up Retail Store Locations w/ IdealSpot’s Bryan Eisenberg

2X eCommerce Podcast - Een podcast door Kunle Campbell - Dinsdagen

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Bryan Eisenberg is the Founder & CMO of Ideal Spot - a web-based, commercial real-estate mapping and analysis suite. IdealSpot helps retailers find their ideal retail location utilizing machine learning algorithms akin to retail location data analysis experts.
 
Its machine learning algorithms utilizes deep learning analysis of over 15,000 data points such as demographics, psychographic, search, social, mobile, competitive, and traffic metrics for every location in a bit to significantly reduce the risks retailers face when choosing retail locations.
 
 
Bryan is a recognised authority and pioneer in ecommerce, UX, online customer experiences and conversation rate. Bryan has worked with companies such as HP and Intel as well as is on the advisory board of several successful start-ups.
He is 2-time best-selling New York Times and Wall Street Journal Author of the books:
He a world leading and respected digital marketing expert.
 
Message from Our Sponsors:
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