<?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/498dece8d3f54524b5d3605534075ad4&quot; frameborder=&quot;0&quot; width=&quot;2376&quot; height=&quot;1782&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1782</height><width>2376</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1782</thumbnail_height><thumbnail_width>2376</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/498dece8d3f54524b5d3605534075ad4-35c3a075fb8f2106.gif</thumbnail_url><duration>138.096</duration><title>DealGround Smart Prospecting for Commercial Real Estate Pros</title><description>This Loom shows how DealGround helps commercial real estate prospecting by extracting data from offering memorandums and linking it to ownership information. The presenter runs a free-form query for all Starbucks in California that have been on the market in the last two years but not sold in the last two years, resulting in 103 matches. He then creates a list and displays the results in a table with details such as tenant, NOIs, lease term remaining, last sale price and date, and proposed cap rate. An example in San Dimas is opened to illustrate the underlying NOI, lease start and end dates, ownership entity, and related data.</description></oembed>