A data profile of the people who buy, follow and care about Sean Payton in United States — modelled from more than twelve digital signal sources. Sean Payton has an estimated audience of 1,738,360 people in United States.
The average Sean Payton fan in United States is 43.4 years old, more male, and lives primarily in Colorado.
The audience is concentrated in Colorado, Texas, California.
Top brand affinities include Jameis Winston, Jon Gruden, Giancarlo Stanton, with strongest over-indexing on Jameis Winston (583.2× the country average).
Demographically, the Sean Payton audience skews more male with an average age of 43.4, and over-indexes on personality traits such as Spirituality, Sports Activity.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Sean Payton fan in United States is more male, around 43.4 years old, with strong Spirituality tendencies and a notable affinity for Jameis Winston.
The key figures that characterise the Sean Payton profile in United States.
32.0% are female, 68.0% are male, average age 43.4.
| Metric | Value |
|---|---|
| Female | 32.0% |
| Male | 68.0% |
| Average age | 43.4 |
| Estimated audience size | 1,738,360 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 9% | |
| 20-29 | 17% | |
| 30-39 | 21% | |
| 40-49 | 26% | |
| 50+ | 27% |
Where the Sean Payton audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Colorado | ~100K | 4.71× | |
| 02 | Louisiana | ~70K | 2.99× | |
| 03 | Wyoming | ~6K | 2.46× | |
| 04 | New Mexico | ~10K | 1.43× | |
| 05 | South Dakota | ~6K | 1.43× | |
| 06 | Mississippi | ~20K | 1.36× | |
| 07 | Montana | ~7K | 1.36× | |
| 08 | Kansas | ~20K | 1.33× | |
| 09 | Arizona | ~40K | 1.19× | |
| 10 | Idaho | ~10K | 1.18× | |
| 11 | North Dakota | ~4K | 1.18× | |
| 12 | Nebraska | ~10K | 1.12× | |
| 13 | Missouri | ~30K | 1.04× | |
| 14 | Utah | ~20K | 1.02× | |
| 15 | Iowa | ~10K | 1.01× | |
| 16 | Minnesota | ~20K | 0.96× | |
| 17 | Alaska | ~3K | 0.93× | |
| 18 | Pennsylvania | ~50K | 0.91× | |
| 19 | Illinois | ~50K | 0.87× | |
| 20 | Alabama | ~20K | 0.87× | |
| 21 | Washington | ~30K | 0.86× | |
| 22 | Texas | ~100K | 0.82× | |
| 23 | Oregon | ~20K | 0.82× | |
| 24 | Arkansas | ~10K | 0.81× | |
| 25 | Massachusetts | ~30K | 0.80× | |
| 26 | Wisconsin | ~20K | 0.80× | |
| 27 | New Hampshire | ~5K | 0.79× | |
| 28 | Oklahoma | ~20K | 0.78× | |
| 29 | Nevada | ~10K | 0.78× | |
| 30 | Rhode Island | ~4K | 0.78× | |
| 31 | Delaware | ~4K | 0.78× | |
| 32 | West Virginia | ~6K | 0.77× | |
| 33 | Ohio | ~40K | 0.75× | |
| 34 | Maryland | ~20K | 0.74× | |
| 35 | Hawaii | ~6K | 0.74× | |
| 36 | North Carolina | ~40K | 0.73× | |
| 37 | Tennessee | ~30K | 0.72× | |
| 38 | Indiana | ~20K | 0.72× | |
| 39 | Virginia | ~30K | 0.70× | |
| 40 | South Carolina | ~20K | 0.70× | |
| 41 | Maine | ~4K | 0.68× | |
| 42 | Michigan | ~30K | 0.67× | |
| 43 | New Jersey | ~30K | 0.66× | |
| 44 | Connecticut | ~10K | 0.66× | |
| 45 | Georgia | ~40K | 0.65× | |
| 46 | Kentucky | ~10K | 0.65× | |
| 47 | Florida | ~70K | 0.63× | |
| 48 | Washington, District of Columbia | ~3K | 0.62× | |
| 49 | California | ~100K | 0.57× | |
| 50 | New York | ~60K | 0.56× |
The strongest cross-interests of the Sean Payton audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Mo Rocca | Movies & TV | 846.72× | ||
| 02 | Darrelle Revis | Sports | 808.05× | ||
| 03 | DeMarco Murray | Sports | 797.89× | ||
| 04 | Eric Decker | Sports | 786.01× | ||
| 05 | Charles Tillman | Sports | 748.22× | ||
| 06 | Greg Maddux | Sports | 697.28× | ||
| 07 | Brian Dawkins | Sports | 650.63× | ||
| 08 | Golden Tate | Sports | 649.00× | ||
| 09 | Jameis Winston | Sports | 583.20× | ||
| 10 | Jon Gruden | Sports | 561.39× | ||
| 11 | Luke Kuechly | Sports | 560.39× | ||
| 12 | Brian Urlacher | Sports | 519.29× | ||
| 13 | Giancarlo Stanton | Sports | 513.65× | ||
| 14 | Paul Allen | Business & Career | 498.67× | ||
| 15 | Barry Sanders | Sports | 455.29× | ||
| 16 | Max Scherzer | Sports | 332.14× | ||
| 17 | Seth Curry | Sports | 299.35× | ||
| 18 | Bo Jackson | Sports | 274.66× | ||
| 19 | Ashley Judd | Movies & TV | 247.01× | ||
| 20 | Kirk Cousins | Sports | 187.29× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Spirituality | BALANCE | 1.46× | |
| Sports Activity | POWER | 1.30× | |
| Patriotism | CONSERVATISM | 1.27× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Design Affinity | PREMIUM | 0.83× | |
| Urban Lifestyle | OPEN | 0.84× | |
| Mindfulness | BALANCE | 0.86× |
Sean Payton has an estimated audience of 1,738,360 people in United States, concentrated in Colorado and Texas.
32.0% of Sean Payton fans are female, 68.0% are male, with an average age of 43.4 years.
Sean Payton fans show strongest brand affinity for Jameis Winston (583.2×), Jon Gruden (561.39×), and Giancarlo Stanton (513.65×) over the country average.
Sean Payton fans in United States are most concentrated in Colorado (reach ~100K), Texas (reach ~100K), and California (reach ~100K). These three regions account for the largest share of the active audience.
Beyond Sean Payton itself, the audience over-indexes on Jon Gruden (561.39×), Giancarlo Stanton (513.65×), Luke Kuechly (560.39×), and Max Scherzer (332.14×) 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 Sean Payton. 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.
From global mass-market brands to niche local segments — explore the full library and see which intelligence layers are included.