Buy Score is a machine-learning model that identifies which individuals are likely to purchase a property sooner than others within the next year. Buy Score is attached to individuals, whereas Sell Score is attached to properties. You can view an individual's score by clicking on Associated People located on the Property Details page.
Buy Score Accuracy
An individual with a High Buy Score is approximately 7 times more likely to purchase property in the next year than a randomly selected person.
What does this mean?
- High - The individual is in the top 5% of people that are likely to buy in the next year.
- Medium - The individual is in the next 25% of people that are likely to buy in the next year.
- Low - The individual is in the lower 70%, meaning the individual is less likely to buy in the next year than others with Medium or High Buy Scores.
To view how Buy Score is calculated, visit our Remine Calculations article.
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