<?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/76e7b8bc895541c393eb3755bf233a46&quot; frameborder=&quot;0&quot; width=&quot;1196&quot; height=&quot;897&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>897</height><width>1196</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>897</thumbnail_height><thumbnail_width>1196</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/76e7b8bc895541c393eb3755bf233a46-67c68b4c1ac6f19a.gif</thumbnail_url><duration>198.964</duration><title>Optimizing Budget Allocation with Moby&apos;s Analytics Tools</title><description>In this video, I discuss how Moby can optimize our current budget allocation by running a model that analyzes weekly and monthly orders, new customer orders, and revenue signals. The analytics capabilities we have with Moby are truly impressive and provide us with a significant advantage. I also touch on the integration of survey data and MTA and pixel data to enhance our analysis further. While the default settings are improving, I encourage everyone to leverage the MMM tools and provide feedback on the prompts to ensure we maximize our insights. Let&apos;s continue to explore these powerful analytics together!</description></oembed>