82lead score
Each lead is scored 0–100 by conversion likelihood.
What it does
A machine-learning model that scores inbound leads on conversion likelihood, deployed with a full MLOps pipeline so it stays accurate over time.
How it works
- Step 1. Historical lead and outcome data is cleaned and feature-engineered.
- Step 2. A model learns which signals predict conversion.
- Step 3. Each new lead gets a 0–100 score, so sales work the hottest first.
- Step 4. An MLOps pipeline retrains, validates, and monitors the model in production.
Where it's used
- Sales prioritisation
- Marketing qualification
- CRM enrichment
- Revenue forecasting
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