A data profile of the people who buy, follow and care about Shane Gillis in United States — modelled from more than twelve digital signal sources. Shane Gillis has an estimated audience of 7,148,612 people in United States.
The average Shane Gillis fan in United States is 38.3 years old, more male, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Tom Segura, Kim Cattrall, TikTok, with strongest over-indexing on Tom Segura (22.27× the country average).
Demographically, the Shane Gillis audience skews more male with an average age of 38.3, and over-indexes on personality traits such as Patriotism, Community Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Shane Gillis fan in United States is more male, around 38.3 years old, with strong Patriotism tendencies and a notable affinity for Tom Segura.
The key figures that characterise the Shane Gillis profile in United States.
43.2% are female, 56.8% are male, average age 38.3.
| Metric | Value |
|---|---|
| Female | 43.2% |
| Male | 56.8% |
| Average age | 38.3 |
| Estimated audience size | 7,148,612 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 21% | |
| 20-29 | 19% | |
| 30-39 | 22% | |
| 40-49 | 23% | |
| 50+ | 15% |
of the worldwide Shane Gillis audience comes from United States.
| Country | Share |
|---|---|
| United States | 79.5% |
| Canada | 5.5% |
| United Kingdom | 4.6% |
Where the Shane Gillis audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Idaho | ~50K | 1.50× | |
| 02 | Pennsylvania | ~300K | 1.45× | |
| 03 | New Hampshire | ~40K | 1.41× | |
| 04 | Oklahoma | ~100K | 1.39× | |
| 05 | Massachusetts | ~200K | 1.35× | |
| 06 | Oregon | ~100K | 1.24× | |
| 07 | Missouri | ~100K | 1.23× | |
| 08 | Michigan | ~200K | 1.19× | |
| 09 | Arizona | ~200K | 1.18× | |
| 10 | Indiana | ~100K | 1.15× | |
| 11 | Illinois | ~300K | 1.14× | |
| 12 | Delaware | ~20K | 1.14× | |
| 13 | New Jersey | ~200K | 1.13× | |
| 14 | Wisconsin | ~100K | 1.13× | |
| 15 | Kentucky | ~100K | 1.13× | |
| 16 | Maine | ~30K | 1.11× | |
| 17 | Connecticut | ~80K | 1.08× | |
| 18 | Kansas | ~60K | 1.08× | |
| 19 | Rhode Island | ~20K | 1.06× | |
| 20 | Tennessee | ~100K | 1.03× | |
| 21 | Montana | ~20K | 1.03× | |
| 22 | New York | ~400K | 0.99× | |
| 23 | Vermont | ~10K | 0.99× | |
| 24 | North Carolina | ~200K | 0.97× | |
| 25 | Ohio | ~200K | 0.96× | |
| 26 | Colorado | ~100K | 0.96× | |
| 27 | Utah | ~60K | 0.96× | |
| 28 | North Dakota | ~10K | 0.94× | |
| 29 | Nevada | ~60K | 0.93× | |
| 30 | Iowa | ~50K | 0.92× | |
| 31 | Washington, District of Columbia | ~20K | 0.92× | |
| 32 | Washington | ~100K | 0.91× | |
| 33 | Nebraska | ~30K | 0.91× | |
| 34 | South Carolina | ~90K | 0.90× | |
| 35 | California | ~700K | 0.89× | |
| 36 | Alaska | ~10K | 0.88× | |
| 37 | Minnesota | ~90K | 0.87× | |
| 38 | Arkansas | ~50K | 0.87× | |
| 39 | West Virginia | ~30K | 0.87× | |
| 40 | Virginia | ~100K | 0.86× | |
| 41 | Maryland | ~100K | 0.86× | |
| 42 | Florida | ~400K | 0.85× | |
| 43 | Texas | ~500K | 0.84× | |
| 44 | South Dakota | ~10K | 0.84× | |
| 45 | Louisiana | ~70K | 0.76× | |
| 46 | Alabama | ~70K | 0.75× | |
| 47 | Georgia | ~200K | 0.74× | |
| 48 | New Mexico | ~20K | 0.69× | |
| 49 | Mississippi | ~40K | 0.65× | |
| 50 | Hawaii | ~20K | 0.63× |
The strongest cross-interests of the Shane Gillis audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Tom Segura | Movies & TV | 22.27× | ||
| 02 | Kim Cattrall | Movies & TV | 18.66× | ||
| 03 | Bert Kreischer | Movies & TV | 10.46× | ||
| 04 | International education | Business & Career | 9.80× | ||
| 05 | Norm Macdonald | Movies & TV | 9.21× | ||
| 06 | Marc Maron | Movies & TV | 9.15× | ||
| 07 | Bobby Lee | Movies & TV | 9.12× | ||
| 08 | Political satire | Literature | 8.50× | ||
| 09 | Whitney Cummings | Movies & TV | 8.17× | ||
| 10 | Nikki Glaser | Movies & TV | 4.76× | ||
| 11 | Chelsea Handler | Movies & TV | 4.63× | ||
| 12 | Scarface (1983 film) | Movies & TV | 4.26× | ||
| 13 | TikTok | Internet & Social Media | 2.39× | ||
| 14 | Google Drive | Technology & Electronics | 2.13× | ||
| 15 | Radio | Technology & Electronics | 1.88× | ||
| 16 | Stand-up comedy | Movies & TV | 1.61× | ||
| 17 | Podcast | Music & Radio | 1.59× | ||
| 18 | TMZ | Internet & Social Media | 1.57× | ||
| 19 | Subway | Food & Beverages | 1.53× | ||
| 20 | Mobile game | Games | 1.53× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 1.66× | |
| Community Orientation | OPEN | 1.32× | |
| Early Adopter Mentality | POWER | 1.30× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Creativity | OPEN | 0.85× | |
| Quality Awareness | PREMIUM | 0.85× | |
| DIY Mentality | THRILL | 0.86× |
Shane Gillis has an estimated audience of 7,148,612 people in United States, concentrated in California and Texas.
43.2% of Shane Gillis fans are female, 56.8% are male, with an average age of 38.3 years.
Shane Gillis fans show strongest brand affinity for Tom Segura (22.27×), Kim Cattrall (18.66×), and TikTok (2.39×) over the country average.
Shane Gillis fans in United States are most concentrated in California (reach ~700K), Texas (reach ~500K), and Florida (reach ~400K). These three regions account for the largest share of the active audience.
Beyond Shane Gillis itself, the audience over-indexes on Kim Cattrall (18.66×), TikTok (2.39×), Bert Kreischer (10.46×), and International education (9.8×) 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 Shane Gillis. 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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