A data profile of the people who buy, follow and care about TeamSnap in United States — modelled from more than twelve digital signal sources. TeamSnap has an estimated audience of 812,158 people in United States.
The average TeamSnap fan in United States is 37.2 years old, more female, and lives primarily in California.
The audience is concentrated in California, Pennsylvania, New Jersey.
Top brand affinities include Jeff Bezos, Internet café, Cloud Computing News, with strongest over-indexing on Jeff Bezos (42.52× the country average).
Demographically, the TeamSnap audience skews more female with an average age of 37.2, and over-indexes on personality traits such as Mindfulness, Sustainability.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical TeamSnap fan in United States is more female, around 37.2 years old, with strong Mindfulness tendencies and a notable affinity for Jeff Bezos.
The key figures that characterise the TeamSnap profile in United States.
61.2% are female, 38.8% are male, average age 37.2.
| Metric | Value |
|---|---|
| Female | 61.2% |
| Male | 38.8% |
| Average age | 37.2 |
| Estimated audience size | 812,158 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 20% | |
| 20-29 | 16% | |
| 30-39 | 34% | |
| 40-49 | 24% | |
| 50+ | 6% |
Where the TeamSnap audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Maryland | ~40K | 2.96× | |
| 02 | Pennsylvania | ~70K | 2.64× | |
| 03 | New Jersey | ~50K | 2.46× | |
| 04 | Nebraska | ~7K | 1.59× | |
| 05 | Michigan | ~30K | 1.54× | |
| 06 | Washington | ~20K | 1.50× | |
| 07 | Massachusetts | ~20K | 1.49× | |
| 08 | Wisconsin | ~20K | 1.44× | |
| 09 | Virginia | ~30K | 1.39× | |
| 10 | Washington, District of Columbia | ~3K | 1.30× | |
| 11 | Delaware | ~3K | 1.27× | |
| 12 | South Dakota | ~2K | 1.25× | |
| 13 | Colorado | ~20K | 1.24× | |
| 14 | California | ~100K | 1.21× | |
| 15 | Kansas | ~8K | 1.20× | |
| 16 | Ohio | ~30K | 1.19× | |
| 17 | Missouri | ~20K | 1.19× | |
| 18 | Alaska | ~2K | 1.17× | |
| 19 | Minnesota | ~10K | 1.14× | |
| 20 | Maine | ~3K | 1.12× | |
| 21 | Oregon | ~10K | 1.09× | |
| 22 | Vermont | ~1K | 1.02× | |
| 23 | New York | ~50K | 1.01× | |
| 24 | Montana | ~2K | 1.01× | |
| 25 | Idaho | ~4K | 0.99× | |
| 26 | New Hampshire | ~3K | 0.95× | |
| 27 | Kentucky | ~10K | 0.94× | |
| 28 | Illinois | ~20K | 0.91× | |
| 29 | Utah | ~7K | 0.90× | |
| 30 | Hawaii | ~3K | 0.87× | |
| 31 | Iowa | ~6K | 0.82× | |
| 32 | Indiana | ~10K | 0.80× | |
| 33 | Georgia | ~20K | 0.75× | |
| 34 | Connecticut | ~5K | 0.65× | |
| 35 | Rhode Island | ~2K | 0.65× | |
| 36 | Tennessee | ~10K | 0.61× | |
| 37 | West Virginia | ~2K | 0.61× | |
| 38 | Nevada | ~5K | 0.59× | |
| 39 | New Mexico | ~2K | 0.59× | |
| 40 | North Dakota | <1K | 0.59× | |
| 41 | Arizona | ~10K | 0.57× | |
| 42 | Louisiana | ~6K | 0.57× | |
| 43 | North Carolina | ~10K | 0.55× | |
| 44 | Oklahoma | ~5K | 0.54× | |
| 45 | South Carolina | ~6K | 0.46× | |
| 46 | Texas | ~30K | 0.45× | |
| 47 | Florida | ~30K | 0.45× | |
| 48 | Alabama | ~5K | 0.41× | |
| 49 | Arkansas | ~3K | 0.41× | |
| 50 | Mississippi | ~3K | 0.39× |
The strongest cross-interests of the TeamSnap audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Cloud Computing News | Technology & Electronics | 326.13× | ||
| 02 | Public Mobile | Technology & Electronics | 169.54× | ||
| 03 | Wind Mobile | Business & Career | 138.69× | ||
| 04 | Champneys Resorts | Travel & Leisure | 138.24× | ||
| 05 | National Taiwan University of Science and Technology | Business & Career | 94.85× | ||
| 06 | Ultra Europe | Music & Radio | 85.28× | ||
| 07 | Internet café | Internet & Social Media | 63.71× | ||
| 08 | Fantasy cricket | Sports | 62.05× | ||
| 09 | Jeff Bezos | Business & Career | 42.52× | ||
| 10 | Camille Grammer | Fashion & Accessoires | 41.67× | ||
| 11 | Christine Baranski | Movies & TV | 32.26× | ||
| 12 | Boston Legal | Movies & TV | 29.25× | ||
| 13 | United States Department of Housing and Urban Development | Politics & Society | 27.69× | ||
| 14 | DraftKings | Sports | 23.98× | ||
| 15 | APEX | Music & Radio | 21.36× | ||
| 16 | Sam Altman | Business & Career | 14.69× | ||
| 17 | Jensen Huang | Business & Career | 14.67× | ||
| 18 | Julia Child | Food & Beverages | 12.50× | ||
| 19 | Tiffany | Music & Radio | 8.94× | ||
| 20 | American football | Sports | 2.37× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Mindfulness | BALANCE | 1.85× | |
| Sustainability | BALANCE | 1.74× | |
| Healthy Lifestyle | BALANCE | 1.65× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Convenience Orientation | PREMIUM | 0.59× | |
| Extroversion | THRILL | 0.63× | |
| Family Orientation | CONSERVATISM | 0.73× |
TeamSnap has an estimated audience of 812,158 people in United States, concentrated in California and Pennsylvania.
61.2% of TeamSnap fans are female, 38.8% are male, with an average age of 37.2 years.
TeamSnap fans show strongest brand affinity for Jeff Bezos (42.52×), Internet café (63.71×), and Cloud Computing News (326.13×) over the country average.
TeamSnap fans in United States are most concentrated in California (reach ~100K), Pennsylvania (reach ~70K), and New Jersey (reach ~50K). These three regions account for the largest share of the active audience.
Beyond TeamSnap itself, the audience over-indexes on Internet café (63.71×), Cloud Computing News (326.13×), Christine Baranski (32.26×), and APEX (21.36×) 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 TeamSnap. 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.