A data profile of the people who buy, follow and care about Beach Bunny Swimwear in United States — modelled from more than twelve digital signal sources. Beach Bunny Swimwear has an estimated audience of 353,416 people in United States.
The average Beach Bunny Swimwear fan in United States is 31.4 years old, more female, and lives primarily in California.
The audience is concentrated in California, Florida, Texas.
Top brand affinities include Photo sharing, Taylor Lautner, Leighton Meester, with strongest over-indexing on Photo sharing (143.31× the country average).
Demographically, the Beach Bunny Swimwear audience skews more female with an average age of 31.4, and over-indexes on personality traits such as Tradition, Luxury Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Beach Bunny Swimwear fan in United States is more female, around 31.4 years old, with strong Tradition tendencies and a notable affinity for Photo sharing.
The key figures that characterise the Beach Bunny Swimwear profile in United States.
76.5% are female, 23.5% are male, average age 31.4.
| Metric | Value |
|---|---|
| Female | 76.5% |
| Male | 23.5% |
| Average age | 31.4 |
| Estimated audience size | 353,416 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 40% | |
| 20-29 | 23% | |
| 30-39 | 17% | |
| 40-49 | 12% | |
| 50+ | 8% |
of the worldwide Beach Bunny Swimwear audience comes from United States.
| Country | Share |
|---|---|
| United States | 46.1% |
| United Kingdom | 7.4% |
| Canada | 5.3% |
Where the Beach Bunny Swimwear audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Oklahoma | ~10K | 3.01× | |
| 02 | Arizona | ~20K | 2.23× | |
| 03 | Nevada | ~6K | 1.66× | |
| 04 | Illinois | ~20K | 1.54× | |
| 05 | Florida | ~40K | 1.49× | |
| 06 | Minnesota | ~7K | 1.42× | |
| 07 | California | ~50K | 1.32× | |
| 08 | Utah | ~4K | 1.28× | |
| 09 | North Carolina | ~10K | 1.14× | |
| 10 | Iowa | ~3K | 1.08× | |
| 11 | Idaho | ~2K | 1.07× | |
| 12 | Texas | ~30K | 1.05× | |
| 13 | Wisconsin | ~6K | 1.04× | |
| 14 | Washington | ~7K | 1.01× | |
| 15 | Colorado | ~6K | 1.01× | |
| 16 | Oregon | ~4K | 1.01× | |
| 17 | Indiana | ~7K | 1.00× | |
| 18 | Washington, District of Columbia | ~1K | 0.99× | |
| 19 | Maryland | ~6K | 0.98× | |
| 20 | Michigan | ~9K | 0.97× | |
| 21 | North Dakota | <1K | 0.96× | |
| 22 | Pennsylvania | ~10K | 0.95× | |
| 23 | Ohio | ~10K | 0.95× | |
| 24 | Massachusetts | ~7K | 0.94× | |
| 25 | Missouri | ~5K | 0.93× | |
| 26 | Nebraska | ~2K | 0.93× | |
| 27 | Montana | <1K | 0.93× | |
| 28 | Hawaii | ~1K | 0.91× | |
| 29 | Kansas | ~3K | 0.90× | |
| 30 | Vermont | <1K | 0.90× | |
| 31 | New York | ~20K | 0.89× | |
| 32 | New Jersey | ~8K | 0.88× | |
| 33 | Virginia | ~8K | 0.88× | |
| 34 | Tennessee | ~6K | 0.88× | |
| 35 | Kentucky | ~4K | 0.88× | |
| 36 | Connecticut | ~3K | 0.88× | |
| 37 | New Hampshire | ~1K | 0.86× | |
| 38 | Georgia | ~10K | 0.84× | |
| 39 | Maine | ~1K | 0.84× | |
| 40 | South Dakota | <1K | 0.84× | |
| 41 | Alaska | <1K | 0.84× | |
| 42 | Louisiana | ~4K | 0.83× | |
| 43 | New Mexico | ~2K | 0.83× | |
| 44 | West Virginia | ~1K | 0.83× | |
| 45 | Rhode Island | <1K | 0.83× | |
| 46 | Delaware | <1K | 0.83× | |
| 47 | Alabama | ~4K | 0.82× | |
| 48 | Arkansas | ~2K | 0.80× | |
| 49 | South Carolina | ~4K | 0.79× | |
| 50 | Mississippi | ~2K | 0.73× |
The strongest cross-interests of the Beach Bunny Swimwear audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Photo sharing | Internet & Social Media | 143.31× | ||
| 02 | Taylor Lautner | Movies & TV | 48.46× | ||
| 03 | Showpo | Fashion & Accessoires | 28.76× | ||
| 04 | Leighton Meester | Movies & TV | 20.00× | ||
| 05 | Larry Page | Politics & Society | 20.00× | ||
| 06 | Celebrity Gossip | News | 12.74× | ||
| 07 | Neil Young | Music & Radio | 11.78× | ||
| 08 | One-piece swimsuit | Fashion & Accessoires | 9.51× | ||
| 09 | Ski resort | Travel & Leisure | 7.60× | ||
| 10 | Folk music | Music & Radio | 7.51× | ||
| 11 | Summer vacation | Travel & Leisure | 4.46× | ||
| 12 | Bikini | Fashion & Accessoires | 4.39× | ||
| 13 | Hair Extensions | Beauty & Wellness | 4.33× | ||
| 14 | Boho-chic | Fashion & Accessoires | 4.33× | ||
| 15 | Swimsuit | Fashion & Accessoires | 3.69× | ||
| 16 | Discount stores | Shopping | 3.49× | ||
| 17 | ULTA Beauty | Beauty & Wellness | 3.31× | ||
| 18 | Trader Joe's | Shopping | 2.81× | ||
| 19 | Macy's | Shopping | 2.55× | ||
| 20 | Clothing | Fashion & Accessoires | 1.66× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Tradition | CONSERVATISM | 3.08× | |
| Luxury Orientation | PREMIUM | 2.39× | |
| Price Sensitivity | PREMIUM | 2.01× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Need for Security | CONSERVATISM | 0.63× | |
| Early Adopter Mentality | POWER | 0.68× | |
| Extroversion | THRILL | 0.73× |
Beach Bunny Swimwear's target market in United States covers an estimated 353,416 people, concentrated in California and Florida.
76.5% of the Beach Bunny Swimwear audience are female, 23.5% are male, with an average age of 31.4 years.
Beach Bunny Swimwear fans show strongest brand affinity for Photo sharing (143.31×), Taylor Lautner (48.46×), and Leighton Meester (20×) over the country average.
Beach Bunny Swimwear fans in United States are most concentrated in California (reach ~50K), Florida (reach ~40K), and Texas (reach ~30K). These three regions account for the largest share of the active audience.
Beyond Beach Bunny Swimwear itself, the audience over-indexes on Taylor Lautner (48.46×), Leighton Meester (20×), Ski resort (7.6×), and Showpo (28.76×) 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 Beach Bunny Swimwear. 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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