A data profile of the people who buy, follow and care about Pixel Gun 3D in United States — modelled from more than twelve digital signal sources. Pixel Gun 3D has an estimated audience of 320,337 people in United States.
The average Pixel Gun 3D fan in United States is 35.0 years old, more female, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Christina Applegate, Big Apple Bagels, Brookes Brothers, with strongest over-indexing on Christina Applegate (240.45× the country average).
Demographically, the Pixel Gun 3D audience skews more female with an average age of 35.0, and over-indexes on personality traits such as Patriotism, Price Sensitivity.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Pixel Gun 3D fan in United States is more female, around 35.0 years old, with strong Patriotism tendencies and a notable affinity for Christina Applegate.
The key figures that characterise the Pixel Gun 3D profile in United States.
55.5% are female, 44.5% are male, average age 35.0.
| Metric | Value |
|---|---|
| Female | 55.5% |
| Male | 44.5% |
| Average age | 35.0 |
| Estimated audience size | 320,337 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 27% | |
| 20-29 | 24% | |
| 30-39 | 22% | |
| 40-49 | 15% | |
| 50+ | 12% |
Where the Pixel Gun 3D audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | California | ~50K | 1.38× | |
| 02 | Texas | ~40K | 1.28× | |
| 03 | Arizona | ~8K | 1.28× | |
| 04 | Virginia | ~10K | 1.24× | |
| 05 | Nevada | ~4K | 1.21× | |
| 06 | Oklahoma | ~4K | 1.18× | |
| 07 | Washington | ~7K | 1.15× | |
| 08 | Alaska | <1K | 1.12× | |
| 09 | Georgia | ~10K | 1.11× | |
| 10 | Alabama | ~5K | 1.11× | |
| 11 | Arkansas | ~3K | 1.10× | |
| 12 | Hawaii | ~1K | 1.09× | |
| 13 | North Carolina | ~10K | 1.08× | |
| 14 | New Jersey | ~9K | 1.08× | |
| 15 | Louisiana | ~4K | 1.08× | |
| 16 | Wisconsin | ~5K | 1.07× | |
| 17 | Kentucky | ~4K | 1.06× | |
| 18 | Oregon | ~4K | 1.04× | |
| 19 | Indiana | ~6K | 1.03× | |
| 20 | North Dakota | <1K | 1.03× | |
| 21 | Idaho | ~2K | 1.01× | |
| 22 | Maryland | ~6K | 1.00× | |
| 23 | Kansas | ~3K | 1.00× | |
| 24 | Florida | ~20K | 0.99× | |
| 25 | New York | ~20K | 0.98× | |
| 26 | Illinois | ~10K | 0.98× | |
| 27 | Utah | ~3K | 0.98× | |
| 28 | Iowa | ~3K | 0.98× | |
| 29 | Rhode Island | <1K | 0.97× | |
| 30 | Michigan | ~8K | 0.95× | |
| 31 | Missouri | ~5K | 0.95× | |
| 32 | South Carolina | ~5K | 0.95× | |
| 33 | Connecticut | ~3K | 0.95× | |
| 34 | Nebraska | ~2K | 0.95× | |
| 35 | New Mexico | ~2K | 0.95× | |
| 36 | Maine | ~1K | 0.95× | |
| 37 | Pennsylvania | ~10K | 0.94× | |
| 38 | South Dakota | <1K | 0.94× | |
| 39 | Minnesota | ~4K | 0.93× | |
| 40 | Montana | <1K | 0.93× | |
| 41 | Tennessee | ~6K | 0.92× | |
| 42 | Mississippi | ~2K | 0.91× | |
| 43 | Vermont | <1K | 0.91× | |
| 44 | Delaware | <1K | 0.90× | |
| 45 | Ohio | ~9K | 0.89× | |
| 46 | Colorado | ~4K | 0.89× | |
| 47 | West Virginia | ~1K | 0.89× | |
| 48 | New Hampshire | ~1K | 0.89× | |
| 49 | Washington, District of Columbia | <1K | 0.89× | |
| 50 | Massachusetts | ~5K | 0.87× |
The strongest cross-interests of the Pixel Gun 3D audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Big Apple Bagels | Food & Beverages | 1011.83× | ||
| 02 | Christina Applegate | Movies & TV | 240.45× | ||
| 03 | Brookes Brothers | Music & Radio | 108.76× | ||
| 04 | The Elder Scrolls V: Skyrim | Games | 21.37× | ||
| 05 | Einstein Bros. Bagels | Food & Beverages | 6.44× | ||
| 06 | Isla Fisher | Movies & TV | 6.44× | ||
| 07 | Josh Duhamel | Fashion & Accessoires | 6.44× | ||
| 08 | Sophia Bush | Movies & TV | 6.44× | ||
| 09 | Model building | Kids & Family | 6.44× | ||
| 10 | Jason Segel | Movies & TV | 6.44× | ||
| 11 | Seth Green | Movies & TV | 6.44× | ||
| 12 | Tim Horton | Sports | 6.30× | ||
| 13 | Christopher Walken | Movies & TV | 5.37× | ||
| 14 | Mariska Hargitay | Movies & TV | 5.08× | ||
| 15 | Amtrak | Cars & Mobility | 3.95× | ||
| 16 | Sharon Osbourne | Movies & TV | 3.95× | ||
| 17 | Strategy games | Games | 3.23× | ||
| 18 | Action games | Games | 3.12× | ||
| 19 | Role-playing games | Games | 1.96× | ||
| 20 | Mobile game | Games | 1.87× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 2.79× | |
| Price Sensitivity | PREMIUM | 1.22× | |
| Need for Security | CONSERVATISM | 1.15× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Tradition | CONSERVATISM | 0.83× | |
| Mindfulness | BALANCE | 0.85× | |
| Design Affinity | PREMIUM | 0.85× |
Pixel Gun 3D has an estimated audience of 320,337 people in United States, concentrated in California and Texas.
55.5% of Pixel Gun 3D fans are female, 44.5% are male, with an average age of 35.0 years.
Pixel Gun 3D fans show strongest brand affinity for Christina Applegate (240.45×), Big Apple Bagels (1011.83×), and Brookes Brothers (108.76×) over the country average.
Pixel Gun 3D fans in United States are most concentrated in California (reach ~50K), Texas (reach ~40K), and Florida (reach ~20K). These three regions account for the largest share of the active audience.
Beyond Pixel Gun 3D itself, the audience over-indexes on Big Apple Bagels (1011.83×), Brookes Brothers (108.76×), Tim Horton (6.3×), and Amtrak (3.95×) 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 Pixel Gun 3D. 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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