GreenDoor uses a 7-factor scoring algorithm to match your buyer clients with properties in your listings. Color-coded match scores tell you at a glance which properties are worth showing and which ones miss the mark.
GreenDoor's matching algorithm compares each listing against a buyer's saved preferences across seven factors. The weights reflect how real agents prioritize — price and location matter most, while bonus features like a pool or garage are nice-to-haves that round out the score.
| Factor | Weight |
|---|---|
| Price Range | 30% |
| Location / Area | 25% |
| Property Type | 10% |
| Bedrooms | 10% |
| Bathrooms | 10% |
| Square Footage | 10% |
| Features (garage, pool, yard, etc.) | 5% |
Every listing-to-client match gets a percentage score and a color-coded label so you can immediately see how well a property fits. No need to compare specs line by line — the score does the work for you.
Excellent matches are properties that fit a buyer's criteria almost perfectly. Poor matches flag properties that miss on multiple factors. The score breakdown shows you exactly which factors are driving the score up or down.
Some mismatches aren't just low scores — they're non-starters. If a buyer has a firm budget of $400,000 and a listing is priced at $550,000, that's not a "fair" match. It's a deal breaker.
GreenDoor detects deal breakers on critical factors like price and property type and flags them separately from the overall score. A property that scores well on bedrooms, bathrooms, and location but fails on price will show the deal breaker warning so you don't waste time scheduling showings for properties your client can't afford.
When you're browsing listings and want to quickly check how a property stacks up for a specific buyer, use Quick Match. Select a client and a listing, and GreenDoor immediately calculates and displays the match score with a full factor breakdown.
Quick Match is designed for the fast-paced moments — when a new listing hits the market and you need to know in seconds which of your buyers should see it, or when a client calls about a property they found online and you want to check the fit before committing to a showing.
GreenDoor supports two ways to get listings into your system. You can add a listing manually by entering the address, price, specs, and features. Google Places address autocomplete helps you enter addresses quickly and accurately, pulling in the full formatted address as you type.
Alternatively, paste a listing URL from a real estate website, and GreenDoor will use AI to auto-import the property details — price, beds, baths, square footage, property type, and listed features. Review the imported data, make any corrections, and save. This is especially useful when clients send you links and you want to add the property to their bookmarked listings in seconds.
Listing matching doesn't exist in a vacuum. When you find a strong match, you can schedule a showing for that property directly from the match results. GreenDoor pre-fills the showing with the client name, property address, and listing details so you just need to pick a date and time.
After the showing, collect the client's rating and feedback. If they loved it, move to the next step — maybe an offer letter sent for e-signature. If they didn't, the feedback helps you refine their preferences and improve future match scores.
The entire loop — match, show, rate, refine — happens inside GreenDoor without switching between tools or re-entering data. It's how listing matching should work: not as a standalone feature, but as part of a connected workflow that actually helps you close deals.