{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/7754c1678fd34a2197d6c4ba5db53077\" 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/7754c1678fd34a2197d6c4ba5db53077-1706218453293.gif","duration":158.092,"title":"Introducing Pave's New Segments Table (Shared)","description":"Hi, Amelia here from Pave! In this video, I'll be introducing our new segments table, which is part of our cashflow analytics in Snowflake. The segments table allows you to group users by financial behavior into segments like auto-owner or frequent traveler. By joining the segments table with other data sets, you can answer important questions like whether auto owners have lower delinquency rates and if online shoppers are more likely to respond to targeted ads. Watch the video to learn more and discover how you can incorporate these insights into your underwriting models or adjust pricing."}