<?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/ea09bcdbb2fe4cc180b1ecdc27c60ae1&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/ea09bcdbb2fe4cc180b1ecdc27c60ae1-caac15b6554df4a5.gif</thumbnail_url><duration>408.155</duration><title>Mastering Amazon Image Testing: Two Essential Steps for Success 📸</title><description>In this video, I shared two crucial steps from my SOP for creating effective main images for Amazon listings. First, I emphasized the importance of generating 10 to 12 different main images and creating a collage to identify standout elements. Then, I discussed testing various callouts using split testing software like ProductPenny and PICFU, and how to isolate problems if an experiment fails. I also highlighted a successful case where a single image change led to a 62% increase in sales, generating an additional $12,000 in revenue. I encourage you to implement these strategies and utilize visual mock-ups to enhance your listings.</description></oembed>