Putting big data to work

How predictive analytics identifies sellers

It all starts with big data

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.

Use predictive analytics to identify local sellers

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.

Optimize a local territory

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.

A sample of our variables

Listing price trends

Time in home

Loan status

Number of residents

Owner savings

Home equity

Herd effect

Kids in home

Last selling date


LTV ratio


Consumer habits

Year built

Price appreciation

Credit status

Hobbies and interests

Net worth

Loan details

Life stage

Occupation and industry


Move up/Move down


Our data partners

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:

Check Listing Predictions in Your Area

Identify homeowners most likely to sell and generate qualified seller leads with SmartTargeting.