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.
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 canceled.
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.
How do we calculate the Sell Score?
We calculate Sell Score using weighted values, so you may occasionally come across some surprising results (e.g., a property that transacted within the last year with a high Sell Score). For this reason, we recommend combining Sell Score with other filters like Home Equity to increase the accuracy of your results.
The following are the primary variables that affect the Sell Score:
- Property attributes (e.g., square footage, bedrooms/bathrooms, and property value)
- Financial information related to the property or owner (e.g., years since the property last transacted and debt vs. equity on the mortgage(s))
- Neighborhood averages of the previous two variables, for many different neighborhoods (e.g., by ZIP code, by city, and by state)
When any of these data points change, the Sell Score changes accordingly.