AI Lead Scoring Setup
Understand how the 0–100 AI intent score is calculated and how to configure it.
Every lead in Ayorax has an AI Score from 0 to 100. It represents the lead's current purchase intent based on behavioural signals, engagement data, and AI conversation analysis.
Score categories
| Score range | Category | Recommended action |
|---|---|---|
| 75–100 | Hot 🔥 | Immediate personal outreach from a sales rep |
| 50–74 | Warm | Enrol in a nurture sequence with demo offer |
| 25–49 | Cold | Long-term nurture campaign |
| 0–24 | Unqualified | Exclude from active campaigns |
What affects the score?
- Email opens and clicks (positive signals)
- Reply intent: Interested (+15), Pricing Ask (+20), Request Demo (+25)
- Negative intent: Not Interested (−20)
- Time since last engagement (score decays over time)
- ICP match: industry, company size, job title alignment
- Website visits (if tracking snippet is installed)
- Meeting booked or demo requested (strong positive)
Viewing scores
AI Scores are visible on every lead card in the Kanban board, in the Leads list, and on the Lead Detail page. Scores update in real time as new signals arrive.
Score-based routing
Use the score in Workflow conditions to route leads: "If AI Score > 70 → assign to senior sales rep. Else → continue nurture sequence."
Score history is preserved on the Lead Detail page — you can see how a lead's intent changed over time.
Related articles
AI Sales Agent Overview
How the context-aware inbound AI agent works, detects intent, and handles replies.
ICP Configuration
Define your Ideal Customer Profile so AI can score, filter, and generate the right leads.
Intent Signals
The behavioural and conversational signals Ayorax uses to determine lead intent.
CRM Pipeline (Kanban)
Manage your sales pipeline visually with drag-and-drop Kanban boards.