{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/74c2ca8bacdb49c9b2541821855612f8\" frameborder=\"0\" width=\"1280\" height=\"960\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":960,"width":1280,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":960,"thumbnail_width":1280,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/74c2ca8bacdb49c9b2541821855612f8-428e366009932354.gif","duration":104.749,"title":"Simulation of Sales Metrics Impact on Revenue","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."}