AI Workflow: AI Lead Scoring

AI Lead Scoring automates the prioritization of leads so your sales team focuses their energy on the prospects most likely to convert. The workflow ingests data from multiple sources — website behavior, email engagement, content downloads, company demographics, and CRM interactions — and builds a scoring model based on patterns from your historical conversions. Each lead receives a dynamic score that updates in real-time as they take actions: visiting your pricing page increases their score, while going dormant decreases it. Hot leads are automatically routed to sales with context about what triggered the score increase. This workflow is 2-3x more accurate than manual scoring based on gut feel, and it operates 24/7 without the inconsistency of human judgment. For B2B companies with long sales cycles and multiple touchpoints, AI lead scoring is the difference between systematic pipeline management and random follow-up. ShipSquad implements this by integrating your CRM (HubSpot or Salesforce) with behavioral tracking tools, training scoring models on your historical win/loss data, and configuring automated routing rules that notify sales reps the moment a lead crosses the qualification threshold.