Semantic attributes guide
Demographic fields describe. Behaviors predict. DarkData semantic attributes turn a single field into a profile you can plan against, even when explicit data is missing.
Life stage
| Age range | Life stage | Marketing implication |
|---|---|---|
| Under 18 | Minor | Parent-gated decisions |
| 18 to 22 | College age | Student offers, social proof |
| 23 to 27 | Early career | First-time purchases |
| 28 to 34 | Young professional | Quality upgrades |
| 35 to 42 | Established adult | Family and convenience |
| 43 to 52 | Mid career | Peak spending, loyalty |
| 53 to 59 | Late career | Wealth accumulation |
| 60 to 66 | Pre-retirement | Downsizing, experiences |
| 67 to 74 | Active retirement | Travel, health, family |
| 75 to 84 | Senior | Simplified messaging |
| 85 and over | Elderly | Caregiver influence |
Digital behavior
| Age range | Digital behavior | Channel implication |
|---|---|---|
| Under 23 | Digital native | Mobile-first, social and short-form video |
| 23 to 42 | Tech savvy | Multi-device, comfortable with new apps |
| 43 to 59 | Selective digital | Email and search, fewer new platforms |
| 60 and over | Limited digital | Direct mail, phone and broadcast still matter |
Generation cohort
| Born | Cohort |
|---|---|
| 1997 or later | Gen Z |
| 1981 to 1996 | Millennial |
| 1965 to 1980 | Gen X |
| 1946 to 1964 | Boomer |
| Before 1946 | Silent |
How the attributes are built
Models learn the patterns that go with known attributes in records where those attributes are present, then infer them for records where they are missing. Each inferred attribute carries a confidence level, and planners choose how strict to be.
Where they may not be used
Semantic and inferred attributes support marketing reach and measurement. They are never used to decide eligibility for credit, insurance, employment or housing, and protected characteristics are never used to select or exclude people from regulated offers.
Put the attributes to work.
DarkMirror uses them to find more households like your best customers.