A data profile of the people who buy, follow and care about Big Star in United States — modelled from more than twelve digital signal sources. Big Star has an estimated audience of 343,371 people in United States.
The average Big Star fan in United States is 36.5 years old, more female, and lives primarily in Illinois.
The audience is concentrated in Illinois, Texas, California.
Top brand affinities include Mortgage loans, FedEx, Discount stores, with strongest over-indexing on Mortgage loans (2.58× the country average).
Demographically, the Big Star audience skews more female with an average age of 36.5, and over-indexes on personality traits such as Convenience Orientation, Price Sensitivity.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Big Star fan in United States is more female, around 36.5 years old, with strong Convenience Orientation tendencies and a notable affinity for Mortgage loans.
The key figures that characterise the Big Star profile in United States.
58.9% are female, 41.1% are male, average age 36.5.
| Metric | Value |
|---|---|
| Female | 58.9% |
| Male | 41.1% |
| Average age | 36.5 |
| Estimated audience size | 343,371 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 25% | |
| 20-29 | 21% | |
| 30-39 | 21% | |
| 40-49 | 21% | |
| 50+ | 12% |
of the worldwide Big Star audience comes from United States.
| Country | Share |
|---|---|
| Poland | 69.6% |
| United States | 16.0% |
| Germany | 3.0% |
Where the Big Star audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Illinois | ~70K | 6.15× | |
| 02 | Wisconsin | ~20K | 4.78× | |
| 03 | Arkansas | ~9K | 3.24× | |
| 04 | Mississippi | ~9K | 3.21× | |
| 05 | Alabama | ~10K | 2.12× | |
| 06 | Louisiana | ~6K | 1.48× | |
| 07 | Tennessee | ~8K | 1.22× | |
| 08 | Texas | ~30K | 1.18× | |
| 09 | Ohio | ~10K | 1.18× | |
| 10 | Pennsylvania | ~10K | 0.97× | |
| 11 | Vermont | <1K | 0.86× | |
| 12 | Alaska | <1K | 0.84× | |
| 13 | Oregon | ~3K | 0.82× | |
| 14 | South Dakota | <1K | 0.80× | |
| 15 | Washington | ~5K | 0.79× | |
| 16 | Iowa | ~2K | 0.79× | |
| 17 | New Mexico | ~1K | 0.79× | |
| 18 | Montana | <1K | 0.79× | |
| 19 | Kansas | ~2K | 0.78× | |
| 20 | North Dakota | <1K | 0.78× | |
| 21 | Oklahoma | ~3K | 0.77× | |
| 22 | Rhode Island | <1K | 0.76× | |
| 23 | Washington, District of Columbia | <1K | 0.76× | |
| 24 | Indiana | ~5K | 0.75× | |
| 25 | Maine | <1K | 0.75× | |
| 26 | Michigan | ~6K | 0.74× | |
| 27 | Missouri | ~4K | 0.74× | |
| 28 | Nebraska | ~1K | 0.74× | |
| 29 | California | ~30K | 0.73× | |
| 30 | Minnesota | ~3K | 0.73× | |
| 31 | West Virginia | ~1K | 0.72× | |
| 32 | Delaware | <1K | 0.72× | |
| 33 | New Hampshire | <1K | 0.71× | |
| 34 | Idaho | ~1K | 0.70× | |
| 35 | Kentucky | ~3K | 0.69× | |
| 36 | Hawaii | <1K | 0.68× | |
| 37 | Massachusetts | ~4K | 0.67× | |
| 38 | Utah | ~2K | 0.67× | |
| 39 | Colorado | ~3K | 0.66× | |
| 40 | Connecticut | ~2K | 0.66× | |
| 41 | Georgia | ~7K | 0.64× | |
| 42 | Arizona | ~4K | 0.64× | |
| 43 | New York | ~10K | 0.63× | |
| 44 | New Jersey | ~5K | 0.63× | |
| 45 | Virginia | ~5K | 0.63× | |
| 46 | North Carolina | ~6K | 0.61× | |
| 47 | Nevada | ~2K | 0.61× | |
| 48 | Maryland | ~3K | 0.60× | |
| 49 | South Carolina | ~3K | 0.56× | |
| 50 | Florida | ~10K | 0.52× |
The strongest cross-interests of the Big Star audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Buick | Cars & Mobility | 5.18× | ||
| 02 | Weather forecasting | Home & Garden | 3.75× | ||
| 03 | Kia Motors | Cars & Mobility | 3.38× | ||
| 04 | FedEx | Business & Career | 3.26× | ||
| 05 | Solar energy | Home & Garden | 3.15× | ||
| 06 | Renewable energy | Business & Career | 3.14× | ||
| 07 | Sustainable energy | Home & Garden | 3.02× | ||
| 08 | Vehicle insurance | Cars & Mobility | 2.92× | ||
| 09 | Discount stores | Shopping | 2.82× | ||
| 10 | First class travel | Travel & Leisure | 2.64× | ||
| 11 | Mortgage loans | Business & Career | 2.58× | ||
| 12 | Pizza Hut | Food & Beverages | 2.10× | ||
| 13 | Subway | Food & Beverages | 2.09× | ||
| 14 | Shopping malls | Shopping | 2.08× | ||
| 15 | McDonald's | Food & Beverages | 1.88× | ||
| 16 | Domino's Pizza | Food & Beverages | 1.81× | ||
| 17 | Internet & Social Media | 1.78× | |||
| 18 | Barbecue | Food & Beverages | 1.73× | ||
| 19 | Airbnb | Travel & Leisure | 1.62× | ||
| 20 | Furniture | Home & Garden | 1.56× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Convenience Orientation | PREMIUM | 2.51× | |
| Price Sensitivity | PREMIUM | 1.90× | |
| Family Orientation | CONSERVATISM | 1.80× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Risk Appetite | THRILL | 0.50× | |
| Mindfulness | BALANCE | 0.58× | |
| Healthy Lifestyle | BALANCE | 0.68× |
Big Star has an estimated audience of 343,371 people in United States, concentrated in Illinois and Texas.
58.9% of Big Star fans are female, 41.1% are male, with an average age of 36.5 years.
Big Star fans show strongest brand affinity for Mortgage loans (2.58×), FedEx (3.26×), and Discount stores (2.82×) over the country average.
Big Star fans in United States are most concentrated in Illinois (reach ~70K), Texas (reach ~30K), and California (reach ~30K). These three regions account for the largest share of the active audience.
Beyond Big Star itself, the audience over-indexes on FedEx (3.26×), Discount stores (2.82×), Solar energy (3.15×), and Pinterest (1.78×) 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 Big Star. 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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