A data profile of the people who buy, follow and care about DIGIDAY: in United States — modelled from more than twelve digital signal sources. DIGIDAY: has an estimated audience of 54,644 people in United States.
The average DIGIDAY: fan in United States is 35.8 years old, more female, and lives primarily in New York.
The audience is concentrated in New York, California, Texas.
Top brand affinities include Boarding school, Cub Foods, Jane Goodall, with strongest over-indexing on Boarding school (88.06× the country average).
Demographically, the DIGIDAY: audience skews more female with an average age of 35.8, and over-indexes on personality traits such as Early Adopter Mentality, Career Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical DIGIDAY: fan in United States is more female, around 35.8 years old, with strong Early Adopter Mentality tendencies and a notable affinity for Boarding school.
The key figures that characterise the DIGIDAY: profile in United States.
64.1% are female, 35.9% are male, average age 35.8.
| Metric | Value |
|---|---|
| Female | 64.1% |
| Male | 35.9% |
| Average age | 35.8 |
| Estimated audience size | 54,644 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 34% | |
| 20-29 | 15% | |
| 30-39 | 16% | |
| 40-49 | 20% | |
| 50+ | 15% |
of the worldwide DIGIDAY: audience comes from United States.
| Country | Share |
|---|---|
| United States | 39.5% |
| Japan | 19.1% |
| United Kingdom | 6.9% |
Where the DIGIDAY: audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | New York | ~10K | 4.61× | |
| 02 | New Jersey | ~3K | 2.09× | |
| 03 | Washington, District of Columbia | <1K | 1.88× | |
| 04 | Connecticut | <1K | 1.48× | |
| 05 | California | ~8K | 1.39× | |
| 06 | Massachusetts | ~1K | 1.34× | |
| 07 | Illinois | ~2K | 1.23× | |
| 08 | Vermont | <1K | 1.22× | |
| 09 | North Dakota | <1K | 1.11× | |
| 10 | South Dakota | <1K | 1.08× | |
| 11 | Colorado | <1K | 1.05× | |
| 12 | West Virginia | <1K | 1.05× | |
| 13 | Montana | <1K | 1.05× | |
| 14 | Delaware | <1K | 1.03× | |
| 15 | Alaska | <1K | 1.03× | |
| 16 | Rhode Island | <1K | 1.02× | |
| 17 | Maine | <1K | 1.01× | |
| 18 | New Hampshire | <1K | 1.00× | |
| 19 | Hawaii | <1K | 0.98× | |
| 20 | Idaho | <1K | 0.97× | |
| 21 | Nebraska | <1K | 0.95× | |
| 22 | Mississippi | <1K | 0.94× | |
| 23 | New Mexico | <1K | 0.94× | |
| 24 | Arkansas | <1K | 0.93× | |
| 25 | Oregon | <1K | 0.92× | |
| 26 | Kansas | <1K | 0.91× | |
| 27 | Minnesota | <1K | 0.90× | |
| 28 | Iowa | <1K | 0.90× | |
| 29 | Virginia | ~1K | 0.89× | |
| 30 | Oklahoma | <1K | 0.89× | |
| 31 | Louisiana | <1K | 0.88× | |
| 32 | Kentucky | <1K | 0.88× | |
| 33 | Nevada | <1K | 0.88× | |
| 34 | Utah | <1K | 0.88× | |
| 35 | Washington | <1K | 0.87× | |
| 36 | Alabama | <1K | 0.87× | |
| 37 | South Carolina | <1K | 0.85× | |
| 38 | Georgia | ~1K | 0.84× | |
| 39 | Tennessee | <1K | 0.84× | |
| 40 | Wisconsin | <1K | 0.84× | |
| 41 | Indiana | <1K | 0.83× | |
| 42 | Maryland | <1K | 0.83× | |
| 43 | Missouri | <1K | 0.83× | |
| 44 | Pennsylvania | ~2K | 0.81× | |
| 45 | Arizona | <1K | 0.79× | |
| 46 | North Carolina | ~1K | 0.78× | |
| 47 | Michigan | ~1K | 0.76× | |
| 48 | Florida | ~3K | 0.74× | |
| 49 | Ohio | ~1K | 0.73× | |
| 50 | Texas | ~3K | 0.64× |
The strongest cross-interests of the DIGIDAY: audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Boarding school | Kids & Family | 88.06× | ||
| 02 | Cub Foods | Shopping | 60.95× | ||
| 03 | Goodwill Industries | Business & Career | 34.19× | ||
| 04 | Veggie burger | Food & Beverages | 28.18× | ||
| 05 | Jason Segel | Movies & TV | 20.00× | ||
| 06 | Tobias Harris | Sports | 20.00× | ||
| 07 | Erin Andrews | Sports | 20.00× | ||
| 08 | Tim Duncan | Sports | 20.00× | ||
| 09 | Simon Helberg | Movies & TV | 20.00× | ||
| 10 | Christian Pulisic | Sports | 15.16× | ||
| 11 | Josh Duhamel | Fashion & Accessoires | 14.70× | ||
| 12 | Jane Goodall | Pets & Animals | 14.62× | ||
| 13 | Austin Powers (film series) | Movies & TV | 14.55× | ||
| 14 | Remittance | Business & Career | 14.52× | ||
| 15 | Jason Sudeikis | Movies & TV | 13.45× | ||
| 16 | Sharon Osbourne | Movies & TV | 10.18× | ||
| 17 | Winona Ryder | Movies & TV | 8.62× | ||
| 18 | Innovation | Business & Career | 6.15× | ||
| 19 | American Express | Business & Career | 5.24× | ||
| 20 | Indeed.com | Business & Career | 3.99× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Early Adopter Mentality | POWER | 2.97× | |
| Career Orientation | POWER | 1.88× | |
| Patriotism | CONSERVATISM | 1.80× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Tradition | CONSERVATISM | 0.86× | |
| Pet Ownership | JOY | 0.87× | |
| Luxury Orientation | PREMIUM | 0.88× |
DIGIDAY: has an estimated audience of 54,644 people in United States, concentrated in New York and California.
64.1% of DIGIDAY: fans are female, 35.9% are male, with an average age of 35.8 years.
DIGIDAY: fans show strongest brand affinity for Boarding school (88.06×), Cub Foods (60.95×), and Jane Goodall (14.62×) over the country average.
DIGIDAY: fans in United States are most concentrated in New York (reach ~10K), California (reach ~8K), and Texas (reach ~3K). These three regions account for the largest share of the active audience.
Beyond DIGIDAY: itself, the audience over-indexes on Cub Foods (60.95×), Jane Goodall (14.62×), Veggie burger (28.18×), and Goodwill Industries (34.19×) compared to the United States average.
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in United States who actively search for DIGIDAY:. Affinity is an over-index ratio: 2.0× means the audience is twice as likely to engage with that brand or trait as the country average. Reach is the estimated number of audience members in a region. Regional and brand-affinity tables are sorted from strongest signal to weakest.
This audience profile is generated by Rascasse from anonymized search-behavior signals across United States. For methodology see methodology. Affinity values are over-index ratios vs. the country average (1.0 = baseline). Audience sizes are estimated, not measured.
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