All Forum Posts by: Mark Wolffer

When we query our national consumer data set we look to several specific criteria. #1 loan to value: we list all vacants that appear to have 100% equity. Properties should have plenty of built in equity. #2 CoreLogic Pass Prospector Home Value: we display any property valuation. #3 Any other relevant information within data set.

Even though vacants are a great tool for investors...a list or map tool should be looked at as just a "time saving" tool. 

If you have any questions on how you might be able to use big data within your business model..feel free to contact.

If you ever need granular data on properties in the area...let me know. We usually have coremetric  data, loan to values, occupants, ages, occupant buying habits, modeled credit ratings and networth, all the vacant properties in the state, years in residence, sometimes loan information and types etc.

We have consumer data where one of the fields is "occupation" being "realtor". But our data is primarily used to obtain buyer habits/motive. As an example: John Doe, realtor, home address, age 46, date of birth, married, likes watching football on tv, golf enthusiast, 3 investment properties, do it yourselfer, 60% loan to value, $650K home value, length of residence 21 years,  NOW...if you are selling a do it yourself putting green....he might be ideal lead.

There are many list providers out there for realtor email lists...but if you know what makes someone tick...that is where real value is.

The vacant property list is available, which includes multiple fields of granular address information. This type of list is currently being offered strictly to data providers but we are currently developing a web application to enable end users (investors) to access this data.