PURE · Prospecting · Model health
One scoring engine predicts who lists next and which features move price & DOM — this is its health: precision vs. who actually listed, coverage, and the loop that keeps it sharpening.
Sample metrics — sign in for live model healthEach surface reads the same seller-propensity model, so a smarter score lifts all of them.
Nightly the model re-scores the farm, backtests against who actually listed, and re-weights the signals that predicted it. Run any step now:
Per farm/zip — scored households, how many were predicted-to-list, how many actually listed (backtest), and the resulting precision.
| Farm · zip | Scored | Predicted | Listed | Precision | Refreshed |
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