Sell Score is a machine-learning model that identifies which off-market residential properties are likely to transact sooner than others in their area, measured on a High, Medium, and Low scale. Sell Score is attached to properties, whereas Buy Score is attached to individuals. When you see a Sell Score attached to an individual on the People tab of the Track page, that Sell Score corresponds to the latest known associated property for the person.
We recommend using the Sell Score filter alongside other filters to increase accuracy. For example, you could combine Sell Score, Ownership Time, and Home Equity in your search to identify owners who are more likely ready to move, and have plenty of equity to sell. Here's what the different Sell Score values mean:
- High - The property is more likely to sell within six months to one year than other surrounding properties.
- Medium - The property is about as likely to sell within six months to one year as surrounding properties.
- Low - The property is less likely to sell within six months to one year than other surrounding properties.
Note: We disable Sell Score for active listings, and leave it disabled until 6 months after the property has sold, the listing has expired, or the listing has been cancelled.
How accurate is the Sell Score?
Nationally, a property with a High Sell Score is 5 to 10 times more likely to transact in the next 6 months to a year than a random off-market residential property. While the Sell Score is not perfect, our feedback shows over 50% accuracy. This means that if you target 100 homes, then 50 of them will be as likely to sell as we estimated.
How do we calculate the Sell Score?
The following are the main variables that affect the Sell Score:
- Property attributes (e.g., square footage, bedrooms/bathrooms, property value, etc.)
- Financial information related to the property or owner (e.g., years since the property last transacted, debt vs. equity on the mortgage(s), etc.)
- Neighborhood averages of the previous two variables, for many different neighborhoods (e.g., by ZIP code, by city, by state, etc.)
When any of these data points change, the Sell Score changes accordingly.