<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/0d445719c4da4137905821800e9a7554&quot; frameborder=&quot;0&quot; width=&quot;1662&quot; height=&quot;1246&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1246</height><width>1662</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1246</thumbnail_height><thumbnail_width>1662</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/0d445719c4da4137905821800e9a7554-721de86807a7267e.gif</thumbnail_url><duration>328.868</duration><title>Map</title><description>This Loom shows how to use the map tool for site selection by mapping top customer segments, locations, and uploaded customer data. It explains visualizing segments at levels from census block group to zip code, DMA, and state, and adding brands’ locations such as Alloyoga and Viore to compare presence and customers. The practical example uses Explore to find Alloyoga top customer segments by credit card spending, pre-selecting the top 10 and mapping their concentration across the U.S., especially around San Antonio and Austin. The video then drops a pin in Boise to analyze segment distribution by adjustable radius, saves it as a prospective site, and compares it to a nearby Salt Lake City site noting similar top segments but lower Boise population for expected sales volume.</description></oembed>