AI Lead Scoring

AI lead scoring looks at every new lead and assigns a score based on how likely they are to close. It pulls signals from your CRM (firmographics, deal stage), your website (pages viewed, time spent), your email tool (opens, clicks, replies), and enrichment data (company size, tech stack, funding). Reps see hot leads bubble to the top of their queue automatically. We build it on top of HubSpot, Pipedrive, Salesforce, or Close, and tune the model against your historical close data so the scores actually reflect your sales motion. Typical deployment is 3 to 4 weeks, including a backtest against six months of closed deals. Most teams see their first-touch response time drop sharply for high-score leads, and their close rate on those leads climb 20 to 40 percent. Low-score leads get routed to a nurture sequence instead of clogging up your reps' day.