Tennis Warehouse has an estimated audience of 1.2M people in United States.
The average Tennis Warehouse fan in United States is 37.0 years old, more female, and lives primarily in California.
Most fans live in California, Florida, Texas.
Top affinities include Wilson Tennis, HEAD Tennis, Phil Laak, with strongest over-indexing on Wilson Tennis (130.98× the country average).
Demographically, the Tennis Warehouse audience skews more female with an average age of 37.0, and over-indexes on personality traits such as Community Orientation, Sports Activity.
The typical Tennis Warehouse fan in United States is more female, around 37.0 years old, with strong Community Orientation tendencies and a notable affinity for Wilson Tennis.
55.2% are female, 44.8% are male, average age 37.0.
| Metric | Value |
|---|---|
| Female | 55.2% |
| Male | 44.8% |
| Average age | 37.0 |
| Estimated audience size | 1.2M |
| Age bracket | Share | % |
|---|---|---|
| 16-24 | 28% | |
| 25-34 | 19% | |
| 35-44 | 19% | |
| 45-54 | 19% | |
| 55+ | 14% |
of the worldwide Tennis Warehouse audience comes from United States.
| Country | Share |
|---|---|
| United States | 36.4% |
| China | 9.4% |
| Italy | 4.8% |
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Georgia | ~100K | 2.29× | |
| 02 | California | ~300K | 2.10× | |
| 03 | Hawaii | ~8K | 1.50× | |
| 04 | Florida | ~100K | 1.47× | |
| 05 | New Jersey | ~50K | 1.41× | |
| 06 | Washington | ~40K | 1.39× | |
| 07 | Virginia | ~40K | 1.34× | |
| 08 | Connecticut | ~20K | 1.32× | |
| 09 | Utah | ~20K | 1.32× | |
| 10 | Massachusetts | ~30K | 1.30× | |
| 11 | North Carolina | ~50K | 1.20× | |
| 12 | South Carolina | ~20K | 1.20× | |
| 13 | New York | ~90K | 1.16× | |
| 14 | Rhode Island | ~5K | 1.16× | |
| 15 | Washington, District of Columbia | ~3K | 1.15× | |
| 16 | Oregon | ~20K | 1.13× | |
| 17 | Texas | ~100K | 1.12× | |
| 18 | New Hampshire | ~5K | 1.08× | |
| 19 | Maryland | ~20K | 1.07× | |
| 20 | Mississippi | ~10K | 1.07× | |
| 21 | Kansas | ~10K | 1.01× | |
| 22 | Alabama | ~20K | 0.95× | |
| 23 | Louisiana | ~20K | 0.95× | |
| 24 | Nevada | ~10K | 0.95× | |
| 25 | Illinois | ~40K | 0.93× | |
| 26 | Arkansas | ~10K | 0.93× | |
| 27 | Maine | ~5K | 0.93× | |
| 28 | Colorado | ~20K | 0.91× | |
| 29 | New Mexico | ~7K | 0.91× | |
| 30 | Delaware | ~3K | 0.90× | |
| 31 | Tennessee | ~20K | 0.89× | |
| 32 | Idaho | ~6K | 0.86× | |
| 33 | Vermont | ~2K | 0.86× | |
| 34 | Oklahoma | ~10K | 0.84× | |
| 35 | Pennsylvania | ~40K | 0.82× | |
| 36 | Arizona | ~20K | 0.81× | |
| 37 | Montana | ~3K | 0.81× | |
| 38 | Indiana | ~20K | 0.78× | |
| 39 | Wyoming | ~2K | 0.78× | |
| 40 | Minnesota | ~20K | 0.76× | |
| 41 | Michigan | ~30K | 0.73× | |
| 42 | Missouri | ~20K | 0.72× | |
| 43 | Wisconsin | ~20K | 0.72× | |
| 44 | North Dakota | ~2K | 0.71× | |
| 45 | Ohio | ~30K | 0.70× | |
| 46 | Kentucky | ~10K | 0.68× | |
| 47 | Iowa | ~8K | 0.68× | |
| 48 | Nebraska | ~4K | 0.61× | |
| 49 | South Dakota | ~2K | 0.59× | |
| 50 | West Virginia | ~4K | 0.58× |
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Wilson Tennis | Sports | 130.98× | ||
| 02 | HEAD Tennis | Sports | 125.36× | ||
| 03 | Phil Laak | Sports | 124.74× | ||
| 04 | Miami Open (tennis) | Sports | 104.55× | ||
| 05 | Synchronized swimming | Sports | 78.06× | ||
| 06 | Beach tennis | Sports | 75.17× | ||
| 07 | International Tennis Federation | Sports | 53.67× | ||
| 08 | United States Tennis Association | Sports | 44.13× | ||
| 09 | Everton F.C. | Sports | 42.85× | ||
| 10 | A.S. Roma | Sports | 41.13× | ||
| 11 | The Championships, Wimbledon | Sports | 40.74× | ||
| 12 | Tennis Channel | Sports | 40.44× | ||
| 13 | Iga Swiatek | Sports | 38.89× | ||
| 14 | Roger Federer | Sports | 35.45× | ||
| 15 | Women's Tennis Association | Sports | 34.19× | ||
| 16 | Ben Shelton | Sports | 28.61× | ||
| 17 | Aryna Sabalenka | Sports | 26.30× | ||
| 18 | Novak Djokovic | Sports | 24.34× | ||
| 19 | Jannik Sinner | Sports | 19.69× | ||
| 20 | Little Caesars | Food & Beverages | 11.97× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Community Orientation | OPEN | 1.74× | |
| Sports Activity | POWER | 1.50× | |
| Luxury Orientation | PREMIUM | 1.47× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Convenience Orientation | PREMIUM | 0.56× | |
| Creativity | OPEN | 0.57× | |
| Patriotism | CONSERVATISM | 0.64× |
Cite as: “Rascasse Solution, Q3/2026, rascasse.com/explore/us/tennis-warehouse-94754” · Methodology