A data profile of the people who buy, follow and care about DeepL in United States — modelled from more than twelve digital signal sources. DeepL has an estimated audience of 709,076 people in United States.
The average DeepL fan in United States is 39.8 years old, more female, and lives primarily in California.
The audience is concentrated in California, New York, Florida.
Top brand affinities include Translation, Fred Astaire, Humphrey Bogart, with strongest over-indexing on Translation (16.92× the country average).
Demographically, the DeepL audience skews more female with an average age of 39.8, and over-indexes on personality traits such as Patriotism, Need for Security.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical DeepL fan in United States is more female, around 39.8 years old, with strong Patriotism tendencies and a notable affinity for Translation.
The key figures that characterise the DeepL profile in United States.
59.2% are female, 40.8% are male, average age 39.8.
| Metric | Value |
|---|---|
| Female | 59.2% |
| Male | 40.8% |
| Average age | 39.8 |
| Estimated audience size | 709,076 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 18% | |
| 20-29 | 20% | |
| 30-39 | 20% | |
| 40-49 | 20% | |
| 50+ | 22% |
Where the DeepL audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Washington, District of Columbia | ~8K | 3.58× | |
| 02 | California | ~200K | 2.05× | |
| 03 | Hawaii | ~6K | 1.96× | |
| 04 | New York | ~80K | 1.95× | |
| 05 | Massachusetts | ~20K | 1.66× | |
| 06 | Oregon | ~10K | 1.56× | |
| 07 | Virginia | ~30K | 1.48× | |
| 08 | Washington | ~20K | 1.48× | |
| 09 | Florida | ~80K | 1.46× | |
| 10 | New Jersey | ~30K | 1.38× | |
| 11 | Utah | ~9K | 1.38× | |
| 12 | Illinois | ~30K | 1.20× | |
| 13 | Texas | ~70K | 1.13× | |
| 14 | Nevada | ~8K | 1.12× | |
| 15 | Georgia | ~20K | 1.06× | |
| 16 | Maryland | ~10K | 1.05× | |
| 17 | Connecticut | ~8K | 1.05× | |
| 18 | Rhode Island | ~2K | 1.03× | |
| 19 | Arizona | ~20K | 1.01× | |
| 20 | Kansas | ~6K | 0.97× | |
| 21 | North Carolina | ~20K | 0.95× | |
| 22 | Colorado | ~10K | 0.93× | |
| 23 | Vermont | ~1K | 0.86× | |
| 24 | Pennsylvania | ~20K | 0.84× | |
| 25 | Maine | ~2K | 0.84× | |
| 26 | Indiana | ~10K | 0.81× | |
| 27 | Minnesota | ~9K | 0.79× | |
| 28 | Alaska | ~1K | 0.79× | |
| 29 | Michigan | ~20K | 0.78× | |
| 30 | Wisconsin | ~9K | 0.78× | |
| 31 | Louisiana | ~8K | 0.77× | |
| 32 | Tennessee | ~10K | 0.76× | |
| 33 | Delaware | ~2K | 0.76× | |
| 34 | New Hampshire | ~2K | 0.75× | |
| 35 | Iowa | ~5K | 0.74× | |
| 36 | Ohio | ~20K | 0.69× | |
| 37 | Missouri | ~9K | 0.69× | |
| 38 | New Mexico | ~3K | 0.69× | |
| 39 | South Carolina | ~8K | 0.67× | |
| 40 | Nebraska | ~3K | 0.67× | |
| 41 | Idaho | ~3K | 0.66× | |
| 42 | Arkansas | ~4K | 0.64× | |
| 43 | Kentucky | ~6K | 0.63× | |
| 44 | Oklahoma | ~5K | 0.60× | |
| 45 | Alabama | ~6K | 0.57× | |
| 46 | South Dakota | ~1K | 0.57× | |
| 47 | North Dakota | <1K | 0.52× | |
| 48 | Montana | ~1K | 0.51× | |
| 49 | West Virginia | ~2K | 0.47× | |
| 50 | Mississippi | ~3K | 0.46× |
The strongest cross-interests of the DeepL audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Fred Astaire | Movies & TV | 23.69× | ||
| 02 | Humphrey Bogart | Movies & TV | 21.02× | ||
| 03 | Translation | Business & Career | 16.92× | ||
| 04 | Judi Dench | Movies & TV | 13.61× | ||
| 05 | Tinker Bell (film series) | Movies & TV | 12.06× | ||
| 06 | Baby toys | Kids & Family | 10.41× | ||
| 07 | Michael Fassbender | Movies & TV | 7.45× | ||
| 08 | Supermoto | Cars & Mobility | 6.36× | ||
| 09 | Helen Mirren | Movies & TV | 5.47× | ||
| 10 | Language education | Business & Career | 4.48× | ||
| 11 | Sam Elliott | Movies & TV | 3.00× | ||
| 12 | Non-alcoholic beverage | Food & Beverages | 2.50× | ||
| 13 | Diane Keaton | Movies & TV | 2.27× | ||
| 14 | Artificial intelligence | Technology & Electronics | 2.21× | ||
| 15 | Microwave oven | Home & Garden | 2.06× | ||
| 16 | Innovation | Business & Career | 1.93× | ||
| 17 | Britney Spears | Music & Radio | 1.85× | ||
| 18 | Genetics | Kids & Family | 1.68× | ||
| 19 | Discount stores | Shopping | 1.55× | ||
| 20 | T.J.Maxx | Shopping | 1.53× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 1.58× | |
| Need for Security | CONSERVATISM | 1.50× | |
| Career Orientation | POWER | 1.32× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Design Affinity | PREMIUM | 0.87× | |
| Pet Ownership | JOY | 0.88× | |
| Luxury Orientation | PREMIUM | 0.89× |
DeepL's target market in United States covers an estimated 709,076 people, concentrated in California and New York.
59.2% of the DeepL audience are female, 40.8% are male, with an average age of 39.8 years.
DeepL fans show strongest brand affinity for Translation (16.92×), Fred Astaire (23.69×), and Humphrey Bogart (21.02×) over the country average.
DeepL fans in United States are most concentrated in California (reach ~200K), New York (reach ~80K), and Florida (reach ~80K). These three regions account for the largest share of the active audience.
Beyond DeepL itself, the audience over-indexes on Fred Astaire (23.69×), Humphrey Bogart (21.02×), Baby toys (10.41×), and Judi Dench (13.61×) 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 DeepL. 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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