Not all leads are created equal. Lead Scoring uses AI to evaluate every prospect in real time — combining engagement signals, behavioral data, and custom criteria — so your team focuses on the deals most likely to close.
Engagement Signals
AI Scoring Model
Priority Ranking
Auto-Routing
A real-time leaderboard showing leads ranked by score, with trend indicators, engagement breakdown charts, score history sparklines, and one-click routing buttons for each prospect.
Lead Score: Hot
Based on 8 engagement signals
Scoring Accuracy
Higher Conversion
Less Wasted Effort
Score Updates
Machine learning models trained on your conversion data identify which leads are most likely to buy. The system improves with every closed deal.
Points are awarded based on real behaviors — message frequency, product page visits, cart activity, reply speed — not just demographic fit.
Define your own scoring rules on top of AI predictions. Weight specific actions, platforms, or customer attributes based on what matters most to your business.
High-score leads trigger instant notifications and auto-assignment to sales reps. Route by score tier, product interest, region, or team capacity.
Forecast which leads will convert, when they are likely to buy, and what revenue they represent. Plan outreach and resources with data-driven confidence.
Scores decrease over time when engagement drops. Get alerts when hot leads start cooling so your team can re-engage before the window closes.
Let AI tell you which leads are worth your time. Lead Scoring ranks every prospect automatically so your team can focus on closing, not qualifying.
The AI model combines behavioral signals like message frequency, product page visits, and cart activity with historical conversion data from your business. It weighs each signal based on how strongly it correlates with closed deals in your specific sales cycle.