A data profile of the people who buy, follow and care about Roger Vivier in United States — modelled from more than twelve digital signal sources. Roger Vivier has an estimated audience of 327,541 people in United States.
The average Roger Vivier fan in United States is 36.6 years old, more female, and lives primarily in California.
The audience is concentrated in California, New York, Texas.
Top brand affinities include Mckenna Grace, Kiernan Shipka, Manolo Blahnik, with strongest over-indexing on Mckenna Grace (22.44× the country average).
Demographically, the Roger Vivier audience skews more female with an average age of 36.6, and over-indexes on personality traits such as Luxury Orientation, Indulgence.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Roger Vivier fan in United States is more female, around 36.6 years old, with strong Luxury Orientation tendencies and a notable affinity for Mckenna Grace.
The key figures that characterise the Roger Vivier profile in United States.
71.6% are female, 28.4% are male, average age 36.6.
| Metric | Value |
|---|---|
| Female | 71.6% |
| Male | 28.4% |
| Average age | 36.6 |
| Estimated audience size | 327,541 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 25% | |
| 20-29 | 20% | |
| 30-39 | 22% | |
| 40-49 | 22% | |
| 50+ | 12% |
Where the Roger Vivier audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | New York | ~80K | 4.47× | |
| 02 | California | ~100K | 3.56× | |
| 03 | New Jersey | ~20K | 2.60× | |
| 04 | Washington, District of Columbia | ~2K | 2.29× | |
| 05 | Massachusetts | ~10K | 1.94× | |
| 06 | Washington | ~10K | 1.82× | |
| 07 | Hawaii | ~3K | 1.80× | |
| 08 | Connecticut | ~5K | 1.49× | |
| 09 | Nevada | ~4K | 1.42× | |
| 10 | Maryland | ~8K | 1.41× | |
| 11 | Virginia | ~10K | 1.30× | |
| 12 | Illinois | ~10K | 1.23× | |
| 13 | Florida | ~30K | 1.21× | |
| 14 | Georgia | ~10K | 1.07× | |
| 15 | Texas | ~30K | 1.05× | |
| 16 | Rhode Island | ~1K | 1.01× | |
| 17 | Alaska | <1K | 0.97× | |
| 18 | Vermont | <1K | 0.95× | |
| 19 | Delaware | <1K | 0.94× | |
| 20 | North Dakota | <1K | 0.94× | |
| 21 | Oregon | ~3K | 0.93× | |
| 22 | South Dakota | <1K | 0.92× | |
| 23 | Pennsylvania | ~10K | 0.90× | |
| 24 | New Hampshire | ~1K | 0.90× | |
| 25 | Montana | <1K | 0.90× | |
| 26 | West Virginia | ~1K | 0.87× | |
| 27 | Maine | ~1K | 0.87× | |
| 28 | Idaho | ~1K | 0.85× | |
| 29 | Nebraska | ~1K | 0.85× | |
| 30 | New Mexico | ~1K | 0.84× | |
| 31 | Mississippi | ~2K | 0.83× | |
| 32 | Arkansas | ~2K | 0.81× | |
| 33 | Kansas | ~2K | 0.80× | |
| 34 | Tennessee | ~5K | 0.79× | |
| 35 | Arizona | ~5K | 0.78× | |
| 36 | Iowa | ~2K | 0.78× | |
| 37 | Louisiana | ~3K | 0.77× | |
| 38 | Oklahoma | ~3K | 0.76× | |
| 39 | Utah | ~2K | 0.76× | |
| 40 | North Carolina | ~7K | 0.75× | |
| 41 | Colorado | ~4K | 0.74× | |
| 42 | Kentucky | ~3K | 0.74× | |
| 43 | Alabama | ~3K | 0.73× | |
| 44 | Ohio | ~7K | 0.72× | |
| 45 | Michigan | ~6K | 0.72× | |
| 46 | South Carolina | ~4K | 0.72× | |
| 47 | Missouri | ~4K | 0.70× | |
| 48 | Minnesota | ~3K | 0.70× | |
| 49 | Wisconsin | ~3K | 0.69× | |
| 50 | Indiana | ~4K | 0.67× |
The strongest cross-interests of the Roger Vivier audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Xian Lim | Movies & TV | 157.20× | ||
| 02 | Tony Bianco | Fashion & Accessoires | 108.17× | ||
| 03 | Rene Caovilla | Fashion & Accessoires | 87.86× | ||
| 04 | Sophia Webster | Fashion & Accessoires | 83.69× | ||
| 05 | Giuseppe Zanotti | Fashion & Accessoires | 65.07× | ||
| 06 | Kiernan Shipka | Movies & TV | 43.60× | ||
| 07 | Manolo Blahnik | Fashion & Accessoires | 40.64× | ||
| 08 | Golden Goose | Fashion & Accessoires | 28.82× | ||
| 09 | Chloe (film) | Movies & TV | 25.35× | ||
| 10 | Mckenna Grace | Movies & TV | 22.44× | ||
| 11 | Loro Piana | Fashion & Accessoires | 21.35× | ||
| 12 | Max Mara | Fashion & Accessoires | 20.59× | ||
| 13 | Stuart Weitzman | Fashion & Accessoires | 20.24× | ||
| 14 | Lanvin (clothing) | Fashion & Accessoires | 18.79× | ||
| 15 | Stella McCartney | Fashion & Accessoires | 16.56× | ||
| 16 | Kurt Geiger | Fashion & Accessoires | 14.36× | ||
| 17 | Christian Louboutin | Fashion & Accessoires | 13.67× | ||
| 18 | Queens | Travel & Leisure | 6.98× | ||
| 19 | Designer | Home & Garden | 5.57× | ||
| 20 | Macy's | Shopping | 4.10× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Luxury Orientation | PREMIUM | 2.27× | |
| Indulgence | JOY | 2.18× | |
| Quality Awareness | PREMIUM | 2.16× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 0.81× | |
| Need for Security | CONSERVATISM | 0.92× | |
| DIY Mentality | THRILL | 0.97× |
Roger Vivier's target market in United States covers an estimated 327,541 people, concentrated in California and New York.
71.6% of the Roger Vivier audience are female, 28.4% are male, with an average age of 36.6 years.
Roger Vivier fans show strongest brand affinity for Mckenna Grace (22.44×), Kiernan Shipka (43.6×), and Manolo Blahnik (40.64×) over the country average.
Roger Vivier fans in United States are most concentrated in California (reach ~100K), New York (reach ~80K), and Texas (reach ~30K). These three regions account for the largest share of the active audience.
Beyond Roger Vivier itself, the audience over-indexes on Kiernan Shipka (43.6×), Manolo Blahnik (40.64×), Tony Bianco (108.17×), and Giuseppe Zanotti (65.07×) 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 Roger Vivier. 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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