A data profile of the people who buy, follow and care about Babolat in United States — modelled from more than twelve digital signal sources. Babolat has an estimated audience of 404,824 people in United States.
The average Babolat fan in United States is 38.8 years old, more male, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Tennis Warehouse, Australian Open, Davis Cup, with strongest over-indexing on Tennis Warehouse (84.35× the country average).
Demographically, the Babolat audience skews more male with an average age of 38.8, and over-indexes on personality traits such as Sustainability, Mindfulness.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Babolat fan in United States is more male, around 38.8 years old, with strong Sustainability tendencies and a notable affinity for Tennis Warehouse.
The key figures that characterise the Babolat profile in United States.
39.0% are female, 61.0% are male, average age 38.8.
| Metric | Value |
|---|---|
| Female | 39.0% |
| Male | 61.0% |
| Average age | 38.8 |
| Estimated audience size | 404,824 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 22% | |
| 20-29 | 19% | |
| 30-39 | 19% | |
| 40-49 | 20% | |
| 50+ | 20% |
Where the Babolat audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | California | ~70K | 1.59× | |
| 02 | Colorado | ~10K | 1.49× | |
| 03 | Hawaii | ~3K | 1.48× | |
| 04 | Florida | ~40K | 1.47× | |
| 05 | Washington, District of Columbia | ~2K | 1.45× | |
| 06 | New York | ~30K | 1.40× | |
| 07 | Connecticut | ~6K | 1.37× | |
| 08 | Texas | ~50K | 1.35× | |
| 09 | Washington | ~10K | 1.32× | |
| 10 | Massachusetts | ~10K | 1.27× | |
| 11 | New Jersey | ~10K | 1.25× | |
| 12 | Utah | ~5K | 1.22× | |
| 13 | Georgia | ~10K | 1.16× | |
| 14 | Kansas | ~4K | 1.12× | |
| 15 | Virginia | ~10K | 1.11× | |
| 16 | Illinois | ~10K | 1.07× | |
| 17 | North Carolina | ~10K | 1.07× | |
| 18 | Maryland | ~7K | 1.02× | |
| 19 | Minnesota | ~6K | 1.02× | |
| 20 | Oregon | ~5K | 1.02× | |
| 21 | Rhode Island | ~1K | 1.02× | |
| 22 | Vermont | <1K | 0.95× | |
| 23 | Indiana | ~7K | 0.94× | |
| 24 | South Carolina | ~6K | 0.94× | |
| 25 | Louisiana | ~5K | 0.94× | |
| 26 | Michigan | ~10K | 0.92× | |
| 27 | New Hampshire | ~1K | 0.92× | |
| 28 | Maine | ~1K | 0.92× | |
| 29 | Delaware | ~1K | 0.92× | |
| 30 | North Dakota | <1K | 0.92× | |
| 31 | Missouri | ~6K | 0.91× | |
| 32 | Wisconsin | ~6K | 0.91× | |
| 33 | Pennsylvania | ~10K | 0.90× | |
| 34 | Arizona | ~8K | 0.90× | |
| 35 | Tennessee | ~8K | 0.90× | |
| 36 | Iowa | ~3K | 0.90× | |
| 37 | Mississippi | ~3K | 0.90× | |
| 38 | Nebraska | ~2K | 0.90× | |
| 39 | South Dakota | <1K | 0.90× | |
| 40 | Alabama | ~5K | 0.89× | |
| 41 | Oklahoma | ~4K | 0.89× | |
| 42 | Montana | ~1K | 0.89× | |
| 43 | Alaska | <1K | 0.87× | |
| 44 | Nevada | ~3K | 0.86× | |
| 45 | Idaho | ~2K | 0.85× | |
| 46 | Arkansas | ~3K | 0.83× | |
| 47 | West Virginia | ~2K | 0.81× | |
| 48 | New Mexico | ~2K | 0.80× | |
| 49 | Ohio | ~10K | 0.79× | |
| 50 | Kentucky | ~4K | 0.79× |
The strongest cross-interests of the Babolat audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | HEAD Tennis | Sports | 85.44× | ||
| 02 | Tennis Warehouse | Shopping | 84.35× | ||
| 03 | Wilson Tennis | Sports | 75.85× | ||
| 04 | Tennis Express | Shopping | 72.87× | ||
| 05 | International Tennis Federation | Sports | 39.85× | ||
| 06 | Madison Keys | Sports | 39.77× | ||
| 07 | Davis Cup | Sports | 36.97× | ||
| 08 | Roland Garros | Sports | 32.92× | ||
| 09 | Padel (sport) | Sports | 32.83× | ||
| 10 | United States Tennis Association | Sports | 31.40× | ||
| 11 | Tennis ball | Sports | 29.77× | ||
| 12 | Iga Swiatek | Sports | 28.48× | ||
| 13 | Australian Open | Sports | 26.47× | ||
| 14 | Novak Djokovic | Sports | 23.74× | ||
| 15 | The Championships, Wimbledon | Sports | 23.05× | ||
| 16 | Aryna Sabalenka | Sports | 19.29× | ||
| 17 | Jannik Sinner | Sports | 19.01× | ||
| 18 | Ben Shelton | Sports | 16.12× | ||
| 19 | Coco Gauff | Sports | 15.55× | ||
| 20 | US Open (tennis) | Sports | 12.91× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Sustainability | BALANCE | 2.03× | |
| Mindfulness | BALANCE | 1.55× | |
| Design Affinity | PREMIUM | 1.39× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Tradition | CONSERVATISM | 0.71× | |
| Convenience Orientation | PREMIUM | 0.74× | |
| Need for Security | CONSERVATISM | 0.76× |
Babolat's target market in United States covers an estimated 404,824 people, concentrated in California and Texas.
39.0% of the Babolat audience are female, 61.0% are male, with an average age of 38.8 years.
Babolat fans show strongest brand affinity for Tennis Warehouse (84.35×), Australian Open (26.47×), and Davis Cup (36.97×) over the country average.
Babolat fans in United States are most concentrated in California (reach ~70K), Texas (reach ~50K), and Florida (reach ~40K). These three regions account for the largest share of the active audience.
Beyond Babolat itself, the audience over-indexes on Australian Open (26.47×), Davis Cup (36.97×), Tennis Express (72.87×), and Jannik Sinner (19.01×) 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 Babolat. 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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