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Data Axle's Behavioral Models are a series of pre-developed categorical models. These models are built using a full array of demographic and psychographic data elements. They are used to predict generic consumer behaviors and attitudes.The various Behavioral models are built of responses from external survey data that consists of name, address, and consumer responses to various products and services, which is matched to the Data Axle Consumer name and address data.
Each model predicts the likelihood of a household exhibiting a particular behavior or attitude based on Data Axle data. The models are ranked from 9 thru 0. The higher the relative rank, the higher the likelihood that they have any of the above characteristic (9 = best, 0 = worst). The models use various Data Axle data elements such as household & individual level demographic, ethnicity, religious, and cultural data along with property, census, geographic, neighborhood & lifestyle data as predictors.
Benefits of Behavior Models
» The models are pre-built, ready for immediate use.
» Updated monthly with the Consumer Database.
» Less expensive than current models; no upfront development charges.
» Far more accurate than intuitive selects.
» Targeted at the household level and superior to neighborhood modeling used in other clustering models.
» Grouped into categories for easy selection.
» Simple, easy to understand scoring system.
» Gateway to more advanced analytical services.
Additional Selects:
Age • Income • POC • Phone Numbers • Email Addresses •Home Value • Mortgage • Home Equity • Purchase Power • Wealth Finder • Occupation • Exact Age/Adults + Children • Radius Mapping
Additional Masterfiles:
New Home Owners • Spanish Speaking • Travel Enthusiasts • Book + Magazine Readers • Craft Enthusiasts • Pet Enthusiasts • Gift Givers • Gardening Enthusiasts • Pet Enthusiasts • Healthy Lifestyles • High Tech & Entertainment Enthusiasts • Savvy Seniors • Outdoor Enthusiasts • Politically Active Consumers • Religious + Ethnic Masterfile • Travelers • Frequent Vacationers to name a few. |
