Focus on the people who are 2-3x more likely to move or sell this year
SmartZip’s predictive algorithms analyze thousands of home and homeowner data points, housing market trends and demographic information to scientifically identify selling triggers in every neighborhood across the U.S.
From there, the predictive models analyze the contacts from your database, or the homeowners in your selected geographic area, to determine their likelihood to move or sell. Each individual is given a Pre-Mover Score based on the selling or moving triggers they’re exhibiting.
Across the country, the average turnover in a sample of 1 million homes is 4.5%. By scientifically identifying who is most likely to move based on patent-pending predictive algorithms, you double or triple the likelihood of a transaction occurring in the next 6-12 months.
In a sample of 1 million homes, you can expect on average to see 4500 transactions in a 12-month timeframe, or 4.5% turnover. With SmartZip's Pre-Mover Score, you can identify homeowners that have a higher likelihood to move (scores 800+) and target your marketing and sales efforts to those top loan prospects. With a more focused and targeted approach, you can:
Listing price trends
Time in home
Number of residents
Kids in home
Last selling date
Hobbies and interests
Occupation and industry
Move up/Move down