Selection & Quality - ProPilot Help Center

ProPilot walks a tier ladder from strictest match to loosest, collecting qualifying sales.

How comps are chosen

Filters: property type, bed/bath variance, square-footage band, maximum sale age, and neighborhood similarity.
Outlier removal: sales with a price per sqft far from the local median are dropped.
List-price band: comps far outside the subject’s list price are excluded.
Tier-weighted result: the final comps value is weighted by the tier that produced the selected comps.

Instead of a numeric confidence score, the result shows a tier grade pill:

Grade	Meaning
Excellent	Very close, high-confidence matches.
Very Good / Good	Solid matches with minor differences.
Fair	Looser matches; treat with care.
Poor	Weak matches; consider adding manual comps.

If there aren’t enough qualifying comps, you’ll see “Insufficient comps: found X, need at least Y.”

For Active listings, a badge compares the comps value to list price, for example 12% under or 5% over.

Why did a comp disappear?

Comps can be removed as price outliers, for falling outside the list-price band, by tier rules, or because Use comp was toggled off.

How is this different from Neighborhood Benchmarks?

Comps are deal-specific for one address. Neighborhood Benchmarks are area-level market statistics for a census tract.

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