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ProPilot estimates what a property is worth from nearby comparable sales (“comps”). It searches recent sales around the subject property, qualifies them through a configurable tier ladder (distance, size, beds/baths, and neighborhood similarity), removes outliers, and produces a comps value with a quality grade. For active listings it also shows how the comps value compares to the list price, for example 12% under.
Key things to know
  • Open comps from the Comps tile in a property’s Financial Analysis. The tile shows the current value, grade, and discount, or “Not calculated”.
  • The selector opens on the Map with the qualified comps already selected - you remove the ones you disagree with using Use comp toggles, rather than picking comps one by one.
  • You can Add Comp manually, Recalculate with current rules, and save with Apply Comps (saved properties) or Save Comps (local draft).
  • Admins tune the matching rules org-wide in Advanced Settings > Comps: minimum comps, maximum sale age, the tier ladder, and manual comps.
Related settings: Org-wide comp rules live under Advanced Settings > Comps.

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How a comps value is built

  1. ProPilot gathers recent sales near the subject property.
  2. Each sale is tested against the tier ladder, starting from the strictest tier. A tier defines a search radius, a size window, allowed bed/bath differences, and a minimum neighborhood similarity score.
  3. Sales that pass are collected until the minimum comp count is met. Price-per-sqft outliers and sales priced more than 50% away from the subject’s list price are dropped.
  4. The selected comps produce the comps value, a comp count, and a grade from Excellent to Poor based on how far down the ladder the search had to go.
You can then override the automatic selection: exclude comps you do not trust, add sales the system missed, and recalculate.

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In this section

View & Adjust Comps

Open the selector, read the header stats, include or exclude sales on the map or table, add comps, and save.

Selection & Quality

Understand the tier ladder, qualification rules, outlier removal, quality grades, and the discount badge.

Comps Settings

Configure minimum comps, max sale age, the tier ladder, manual comps import, and Recalculate All.

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Where comps are used

  • Deal screening: the comps value and discount badge appear on property cards in Deal Hub, Deal Pipeline, and Lookup.
  • Deal Calculator: the Comps option is the default ARV source for flips and sale scenarios in the Deal Calculator.
  • Offer formula: if your org’s Offer Base is pinned to Comps from the My Offer panel, screening discounts are anchored to the comps value.

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Common questions

Not enough sales passed your org’s rules. The message tells you exactly what happened, for example “Insufficient comps: found 3, need at least 5.” Try Recalculate, widen the tier ladder or raise Max Days Old in Advanced Settings > Comps, or Add Comp manually for sales you know about.
A comp can drop out for four reasons: it was removed as a price-per-sqft outlier, its sale price fell outside the band of plus or minus 50% of the subject’s list price, it no longer passes the tier rules (for example after a settings change), or someone toggled Use comp off and saved.
On properties not yet saved to your pipeline, Save Comps keeps your selection as a local draft. It becomes permanent when you save the property with Save to Edit. Properties already in your pipeline save immediately with Apply Comps.
It reflects how strict the matches are, not how many there are. If the value was built mostly from Tier 1 comps (closest, most similar), the grade is high. If the search had to fall back to looser tiers, the grade drops. See Selection & Quality.
It compares the comps value to the list price on active listings. 12% under means the property is listed about 12% below its comps value - a potential discount. 5% over means it is listed above the comps value.
Comps are a deal-specific valuation for one address, built from individual sales you can inspect and override. Neighborhood Benchmarks are area-level market statistics for a census tract.
Comps recalculate against the latest sales data, so new sales, aging sales falling past Max Days Old, or changed org rules can all move the value. Manual selections you saved are kept until you recalculate or change them.

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Limitations

  • Properties outside your saved ZIP codes show an Outside zips badge and may not have live comps data until their area is refreshed.
  • Recalculate All in settings refreshes Deal Pipeline and Deal Hub properties; Lookup properties refresh per property with Recalculate.
  • Comp quality depends on the sales available in the market. Rural areas and thin markets produce fewer, looser matches and lower grades.
  • Sales data comes from MLS records. Off-market transactions are not always captured, and distressed sales (foreclosures, short sales) can pull values down in some areas.
  • Neighborhood similarity scoring relies on census tract data, which is not available for every area. Where it is missing, matching falls back to the distance and property filters alone.
  • Outlier removal is intentionally conservative. In volatile markets it can occasionally drop a legitimate sale; you can re-include any removed comp manually with Use comp.