Predictive Lead Scoring
Rank every lead by conversion probability using machine learning. EkamFlow's predictive lead scoring goes beyond rules and heuristics — your sales team focuses on the leads that will actually close.
What is Predictive Lead Scoring?
Predictive lead scoring uses machine learning to rank leads by their likelihood to convert into paying customers. Unlike rule-based scoring that assigns static points for job title or company size, ML-powered lead scoring analyzes hundreds of behavioral and firmographic signals to predict actual conversion probability.
Most CRMs offer basic lead scoring, but it's rules-based — marketing teams manually assign point values to actions and attributes. These scores decay quickly, don't account for signal interactions, and can't adapt as your funnel evolves.
EkamFlow's predictive lead scoring model trains on your conversion history — which leads closed, which bounced, and what signals distinguished them. Every new lead gets a conversion probability score in real time, alongside churn risk, LTV, and recommended next actions.
How EkamFlow does it
Conversion probability, not points
Each lead gets a 0-100 conversion probability based on your actual close history. No more arbitrary point systems that lose accuracy over time.
Adapts as your funnel changes
The model retrains on new conversion data automatically. As your product, pricing, or ICP evolves, lead scores stay accurate without manual recalibration.
Combines with downstream predictions
Lead scoring comes back with predicted LTV, churn risk, and next best action — so your sales team knows not just who to call, but what to say.
Related predictions
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