Company/Location Based Information

Think of each business location as having its own characteristics similar to a consumer delivery point. For consumers, predictive variables are location based information (home value, neighborhood type, age of house, size of house) and demographics on the occupants (age/income/family size/interests). Or in demographic cluster packages from companies like Claritas or Epsilon.

In the B2B space, no single comprehensive source exists for predictive, “packaged” or clustered data. But this information can be sourced, organized and packaged to provide solid insights to make marketing decisions and improve performance. Predictive elements include:

• Where is the business located.
• Do they own/rent the space.
• Is it high density commercial class A space or low density light industrial.
• How far are they located from your retail locations, your competition or maybe it’s beyond both retail trade areas.
• When did the business move to this space?
• How fast have they grown since then – are brand new, rapid expansion, mature/stable or in decline?
• Credit variables.