<?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/74c2ca8bacdb49c9b2541821855612f8&quot; frameborder=&quot;0&quot; width=&quot;1280&quot; height=&quot;960&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>960</height><width>1280</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>960</thumbnail_height><thumbnail_width>1280</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/74c2ca8bacdb49c9b2541821855612f8-428e366009932354.gif</thumbnail_url><duration>104.749</duration><title>Simulation of Sales Metrics Impact on Revenue</title><description>In this video, I present my 47-inch simulator where I calculated the baseline matrix based on key metrics such as conversion rate, average deal size, average sales cycle, and total closed deals from 750 deals. I demonstrate how adjusting the conversion rate and average deal size sliders impacts revenue, showing positive outcomes when increased and negative outcomes when decreased. Specifically, a negative scenario revealed a 32% decrease in conversion rate and a 27% decrease in average deal size, leading to a revenue drop of 6.19 lakh. I used Node.js, Express, and CSV for this prototype. Please review the simulations and let me know your thoughts.</description></oembed>