<?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/39380526ef764786a9e3f0d42ae7e3e9&quot; frameborder=&quot;0&quot; width=&quot;1546&quot; height=&quot;1159&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1159</height><width>1546</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1159</thumbnail_height><thumbnail_width>1546</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/39380526ef764786a9e3f0d42ae7e3e9-00001.gif</thumbnail_url><duration>336.233</duration><title>Attribution Accuracy in Popsixle Dashboard</title><description>Hey there! In this video, I&apos;ll explain how to interpret the attribution accuracy in your Popsicle dashboard. I&apos;ll walk you through the time-based graph and the table at the bottom, showing you the total web purchases tracked, Meta Facebook&apos;s claimed attribution, and our estimation of Meta&apos;s credit. I&apos;ll also discuss the two methods we use to estimate Meta&apos;s credit: tracking purchases with Facebook click IDs and tracking sessions originating from Facebook ads. By the end, you&apos;ll have a clear understanding of how to trust the data in your Meta dashboard. No action required, just watch and learn!</description></oembed>