How predictive analytics identifies sellers
In order to predict behavior like home buying and selling, you need a great deal of “big data.” SmartZip sources raw data from more than 25 trusted national sources, giving us deep insights and 1.3 million gigabytes of data* on more than 95 million homes and homeowners nationwide.
For the last seven years, our expert team of statisticians and economists have been working to make these overwhelming data sets actionable for the real estate industry.
*That's the equivalent of 80,000 16GB iPhones. So if you want to get technical, we have more data than an entire college town.
Our predictive analytics engine examines this vast pool of data to find local seller signals and make listing predictions for your area. We run each territory separately, as selling triggers in Omaha will differ from what causes someone in Manhattan to list.
With a SmartTargeting territory, you get access to selling predictions for a territory near you, so you can narrow your focus and win more listings.
Together with a SmartTargeting expert, you'll map a custom territory that offers you the highest turnover and commission potential in your market area.
We back-test and share the accuracy of our predictions starting on day one. You'll always know how your territory's performance is stacking up to local market activity.
Listing price trends
Time in home
Number of residents
Kids in home
Last selling date
Hobbies & interests
Occupation & industry
SmartZip's data powers the real estate industry's biggest sites. You can find our estimated home values (AVMs), neighborhood market trends and more on these sites: