A data profile of the people who buy, follow and care about Marc Maron in United States — modelled from more than twelve digital signal sources. Marc Maron has an estimated audience of 1,756,935 people in United States.
The average Marc Maron fan in United States is 39.4 years old, balanced, and lives primarily in California.
The audience is concentrated in California, Texas, New York.
Top brand affinities include Alison Brie, Nate Bargatze, Chelsea Peretti, with strongest over-indexing on Alison Brie (54.59× the country average).
Demographically, the Marc Maron audience skews balanced with an average age of 39.4, and over-indexes on personality traits such as Mindfulness, Extroversion.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Marc Maron fan in United States is balanced, around 39.4 years old, with strong Mindfulness tendencies and a notable affinity for Alison Brie.
The key figures that characterise the Marc Maron profile in United States.
45.0% are female, 55.0% are male, average age 39.4.
| Metric | Value |
|---|---|
| Female | 45.0% |
| Male | 55.0% |
| Average age | 39.4 |
| Estimated audience size | 1,756,935 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 18% | |
| 20-29 | 19% | |
| 30-39 | 23% | |
| 40-49 | 23% | |
| 50+ | 18% |
of the worldwide Marc Maron audience comes from United States.
| Country | Share |
|---|---|
| United States | 71.5% |
| Canada | 7.5% |
| United Kingdom | 6.0% |
Where the Marc Maron audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Oregon | ~30K | 1.56× | |
| 02 | Vermont | ~5K | 1.53× | |
| 03 | Colorado | ~40K | 1.39× | |
| 04 | Washington | ~50K | 1.35× | |
| 05 | Massachusetts | ~50K | 1.35× | |
| 06 | New Mexico | ~10K | 1.35× | |
| 07 | Maine | ~9K | 1.33× | |
| 08 | New Hampshire | ~10K | 1.27× | |
| 09 | Connecticut | ~20K | 1.23× | |
| 10 | Washington, District of Columbia | ~7K | 1.23× | |
| 11 | Minnesota | ~30K | 1.22× | |
| 12 | Illinois | ~80K | 1.21× | |
| 13 | Rhode Island | ~7K | 1.18× | |
| 14 | California | ~200K | 1.17× | |
| 15 | New York | ~100K | 1.16× | |
| 16 | Iowa | ~20K | 1.13× | |
| 17 | Montana | ~6K | 1.12× | |
| 18 | Pennsylvania | ~70K | 1.10× | |
| 19 | New Jersey | ~50K | 1.07× | |
| 20 | Wisconsin | ~30K | 1.07× | |
| 21 | Utah | ~20K | 1.05× | |
| 22 | Missouri | ~30K | 1.04× | |
| 23 | Idaho | ~10K | 1.02× | |
| 24 | Michigan | ~50K | 1.01× | |
| 25 | Kansas | ~10K | 0.98× | |
| 26 | Alaska | ~4K | 0.97× | |
| 27 | Arizona | ~40K | 0.95× | |
| 28 | Ohio | ~60K | 0.94× | |
| 29 | Nebraska | ~9K | 0.94× | |
| 30 | Kentucky | ~20K | 0.92× | |
| 31 | Indiana | ~30K | 0.90× | |
| 32 | Maryland | ~30K | 0.90× | |
| 33 | Delaware | ~5K | 0.90× | |
| 34 | North Carolina | ~50K | 0.87× | |
| 35 | Tennessee | ~30K | 0.87× | |
| 36 | Oklahoma | ~20K | 0.87× | |
| 37 | Virginia | ~40K | 0.85× | |
| 38 | South Dakota | ~4K | 0.82× | |
| 39 | North Dakota | ~3K | 0.82× | |
| 40 | Nevada | ~20K | 0.81× | |
| 41 | Texas | ~100K | 0.78× | |
| 42 | South Carolina | ~20K | 0.76× | |
| 43 | West Virginia | ~7K | 0.76× | |
| 44 | Hawaii | ~6K | 0.74× | |
| 45 | Florida | ~90K | 0.72× | |
| 46 | Georgia | ~40K | 0.72× | |
| 47 | Arkansas | ~10K | 0.72× | |
| 48 | Louisiana | ~20K | 0.66× | |
| 49 | Alabama | ~20K | 0.63× | |
| 50 | Mississippi | ~9K | 0.56× |
The strongest cross-interests of the Marc Maron audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Garfunkel and Oates | Music & Radio | 130.29× | ||
| 02 | Chelsea Peretti | Movies & TV | 92.30× | ||
| 03 | Natasha Leggero | Movies & TV | 91.58× | ||
| 04 | Brian Posehn | Movies & TV | 83.31× | ||
| 05 | Pete Holmes | Movies & TV | 75.93× | ||
| 06 | Kristen Schaal | Movies & TV | 75.14× | ||
| 07 | Maria Bamford | Movies & TV | 73.45× | ||
| 08 | Taran Killam | Movies & TV | 67.77× | ||
| 09 | Jenny Slate | Movies & TV | 65.20× | ||
| 10 | Bo Burnham | Music & Radio | 58.46× | ||
| 11 | Jeff Ross | Movies & TV | 56.36× | ||
| 12 | Alison Brie | Movies & TV | 54.59× | ||
| 13 | Tig Notaro | Movies & TV | 49.88× | ||
| 14 | Norm Macdonald | Movies & TV | 47.85× | ||
| 15 | David Cross | Movies & TV | 40.43× | ||
| 16 | Patton Oswalt | Movies & TV | 35.55× | ||
| 17 | Nate Bargatze | Music & Radio | 30.63× | ||
| 18 | Nikki Glaser | Movies & TV | 25.09× | ||
| 19 | Matt Rife | Music & Radio | 21.42× | ||
| 20 | Amy Schumer | Movies & TV | 15.40× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Mindfulness | BALANCE | 1.65× | |
| Extroversion | THRILL | 1.26× | |
| Early Adopter Mentality | POWER | 1.26× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Creativity | OPEN | 0.96× | |
| Price Sensitivity | PREMIUM | 0.96× | |
| Healthy Lifestyle | BALANCE | 0.97× |
Marc Maron has an estimated audience of 1,756,935 people in United States, concentrated in California and Texas.
45.0% of Marc Maron fans are female, 55.0% are male, with an average age of 39.4 years.
Marc Maron fans show strongest brand affinity for Alison Brie (54.59×), Nate Bargatze (30.63×), and Chelsea Peretti (92.3×) over the country average.
Marc Maron fans in United States are most concentrated in California (reach ~200K), Texas (reach ~100K), and New York (reach ~100K). These three regions account for the largest share of the active audience.
Beyond Marc Maron itself, the audience over-indexes on Nate Bargatze (30.63×), Chelsea Peretti (92.3×), Jenny Slate (65.2×), and Kristen Schaal (75.14×) 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 Marc Maron. 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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