AI Lead Scoring
Composite 0 to 100 lead scores that update automatically as each lead moves through the pipeline.
AI Lead Scoring gives every lead a 0 to 100 composite score built from firmographic fit, engagement signals, intent data, and timing, and updates it automatically as the lead changes.
How it works
Lio analyzes four data sources for each lead: firmographic fit, engagement signals, intent data, and timing. Algorithms weight and combine those inputs into a single 0 to 100 score. As leads progress through the pipeline, Lio continuously recalculates the score based on new activity and data, so prioritization reflects current state. You can adjust the factor weights to match your business while keeping the 0 to 100 scale.
Key capabilities
- Composite 0 to 100 lead score combining firmographic fit, engagement, intent, and timing.
- ICP fit analysis showing which criteria a lead meets or misses.
- Intent scoring and buying signal detection ranked by impact.
- Stage prediction that recommends the next pipeline stage from lead behavior.
- Automated score evolution with real time recalculation as activity changes.
- AI generated prospect briefs that summarize the lead and company with plain language score explanations.
- Score results stored in structured JSONB fields on lead and company records.
- Real time score updates broadcast to connected users via SSE and Ably.
- Queue based scoring through BullMQ and Redis with retry logic.
- Bulk scoring of up to 1,000 LinkedIn URLs per batch.
- Available in English and Hindi with browser language detection.
Tips
You can weight factors differently per use case. Emphasize firmographic fit for enterprise sales or engagement signals for high velocity processes, while keeping the 0 to 100 scale.