<?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/df6b13999bc5470292dd9c57a133b9a6&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/df6b13999bc5470292dd9c57a133b9a6-74bba59b34ef0d4e.gif</thumbnail_url><duration>339.142</duration><title>Append Customer Lists</title><description>This Loom explains how to upload a customer list for segmentation analysis by using customer address data for household-level matching. It notes that including first name or last name enables individual-level demographic attributes, while email only yields about a 16% match rate without a customer address. The upload supports custom fields and value metrics, including numeric variables and categorical yes or no fields such as event attendance, and it can optionally retain jittered 25-meter customer locations for mapping and split results by store address. Finally, it shows exporting results as a PDF with match level and segment and group information, with PII stripped out.</description></oembed>