Your business intelligence engine — learns from every lead, quote, job, and payment
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Total Signals
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Learned Weights
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High Confidence
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Active Features
1. Signal Collection
Every outcome event (lead won, quote accepted, job completed) writes a signal with dimensions like suburb, service type, and value.
2. Keyword Learning
Transcript keywords from calls are tracked against outcomes — the genome learns which conversation topics predict high-value wins.
3. Weight Calculation
The engine aggregates signals by dimension, calculating win rates, average values, and confidence scores from sample sizes.
4. Feature Adjustment
Each feature queries learned weights to make smarter decisions — better lead scores, more accurate pricing, optimal scheduling.