{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/80e7182e07404e268352e2b6c0bab186\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/80e7182e07404e268352e2b6c0bab186-d4ba810353e6c86b.gif","duration":384.406,"title":"Optimizing CRM Data and Lead Scoring Workflow for Spara 🚀","description":"In this video, I’m sharing a workflow I developed for Spara, a no-code tool designed for enterprise-grade companies to qualify, engage, and convert leads through various channels. We focused on cleaning the CRM data and implementing an account scoring system based on key metrics like total users and traffic data. I also explained how we validated B2B or B2C status and identified inbound-related job positions without using credits. The goal is to standardize our data and scoring, which ultimately helps us tier accounts effectively. Please take a look at the workflow and consider how these improvements can enhance our processes."}