{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/89e55b035eac47d695529892c5287b99\" frameborder=\"0\" width=\"1728\" height=\"1296\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1296,"width":1728,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1296,"thumbnail_width":1728,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/89e55b035eac47d695529892c5287b99-2f9b6cbeb61dc6db.gif","duration":395.1527,"title":"Modeling Cohorts in Forecasting","description":"Hi, I'm Eric. In this video, I delve into the concept of modeling cohorts, particularly focusing on time-based cohorts for data analysis. I explain how de-aggregating groups into smaller cohorts helps gain insights into performance over time, especially in terms of retention and revenue. Understanding cohort analysis is crucial for tracking changes in performance and adjusting strategies accordingly. No specific action is requested from viewers, but the video aims to enhance comprehension of cohort modeling in business analytics."}