A data profile of the people who buy, follow and care about Supermodel in Germany — modelled from more than twelve digital signal sources. Supermodel has an estimated audience of 910,536 people in Germany.
The average Supermodel fan in Germany is 28.5 years old, more female, and lives primarily in Nordrhein-Westfalen.
The audience is concentrated in Nordrhein-Westfalen, Bayern, Baden-Württemberg.
Top brand affinities include Travel Blogger, Ben Stiller, Jeffrey Dean Morgan, with strongest over-indexing on Travel Blogger (12.37× the country average).
Demographically, the Supermodel audience skews more female with an average age of 28.5, and over-indexes on personality traits such as Travelling, Pet Ownership.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 16 regions tracked by Rascasse.
The typical Supermodel fan in Germany is more female, around 28.5 years old, with strong Travelling tendencies and a notable affinity for Travel Blogger.
The key figures that characterise the Supermodel profile in Germany.
61.8% are female, 38.2% are male, average age 28.5.
| Metric | Value |
|---|---|
| Female | 61.8% |
| Male | 38.2% |
| Average age | 28.5 |
| Estimated audience size | 910,536 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 50% | |
| 20-29 | 23% | |
| 30-39 | 14% | |
| 40-49 | 10% | |
| 50+ | 4% |
of the worldwide Supermodel audience comes from Germany.
| Country | Share |
|---|---|
| United States | 18.1% |
| China | 10.8% |
| Japan | 10.1% |
Where the Supermodel audience in Germany is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Bayern | ~200K | 1.14× | |
| 02 | Berlin | ~50K | 1.13× | |
| 03 | Nordrhein-Westfalen | ~200K | 1.05× | |
| 04 | Baden-Württemberg | ~100K | 1.05× | |
| 05 | Hamburg | ~20K | 1.04× | |
| 06 | Hessen | ~70K | 1.03× | |
| 07 | Thüringen | ~20K | 1.01× | |
| 08 | Schleswig-Holstein | ~30K | 1.00× | |
| 09 | Bremen | ~8K | 1.00× | |
| 10 | Niedersachsen | ~90K | 0.99× | |
| 11 | Brandenburg | ~30K | 0.99× | |
| 12 | Rheinland-Pfalz | ~40K | 0.98× | |
| 13 | Saarland | ~10K | 0.97× | |
| 14 | Sachsen | ~40K | 0.96× | |
| 15 | Mecklenburg-Vorpommern | ~20K | 0.96× | |
| 16 | Sachsen-Anhalt | ~20K | 0.94× |
The strongest cross-interests of the Supermodel audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Ben Stiller | Movies & TV | 19.63× | ||
| 02 | Jeffrey Dean Morgan | Movies & TV | 19.63× | ||
| 03 | Jeremy Renner | Movies & TV | 19.63× | ||
| 04 | Danny Trejo | Movies & TV | 19.63× | ||
| 05 | Joseph Gordon-Levitt | Movies & TV | 19.63× | ||
| 06 | Neil Patrick Harris | Movies & TV | 19.63× | ||
| 07 | Travel Blogger | Travel & Leisure | 12.37× | ||
| 08 | Sunday Brunch | Kids & Family | 10.18× | ||
| 09 | Zumba Dance | Sports | 10.15× | ||
| 10 | Nina Chuba | Music & Radio | 9.11× | ||
| 11 | High-intensity interval training | Sports | 7.46× | ||
| 12 | Reggaeton | Music & Radio | 7.44× | ||
| 13 | Motorcycle helmet | Cars & Mobility | 7.16× | ||
| 14 | Cultural heritage | Politics & Society | 7.01× | ||
| 15 | Crime fiction | Literature | 5.36× | ||
| 16 | Watercolor painting | Arts & Culture | 5.15× | ||
| 17 | Digital photography | Business & Career | 4.97× | ||
| 18 | Livemusic | Music & Radio | 4.61× | ||
| 19 | Android (operating system) | Technology & Electronics | 4.03× | ||
| 20 | TikTok | Internet & Social Media | 2.79× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Travelling | THRILL | 2.52× | |
| Pet Ownership | JOY | 1.94× | |
| Community Orientation | OPEN | 1.92× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Need for Security | CONSERVATISM | 0.82× | |
| Family Orientation | CONSERVATISM | 0.93× | |
| Convenience Orientation | PREMIUM | 0.93× |
Supermodel has an estimated audience of 910,536 people in Germany, concentrated in Nordrhein-Westfalen and Bayern.
61.8% of Supermodel fans are female, 38.2% are male, with an average age of 28.5 years.
Supermodel fans show strongest brand affinity for Travel Blogger (12.37×), Ben Stiller (19.63×), and Jeffrey Dean Morgan (19.63×) over the country average.
Supermodel fans in Germany are most concentrated in Nordrhein-Westfalen (reach ~200K), Bayern (reach ~200K), and Baden-Württemberg (reach ~100K). These three regions account for the largest share of the active audience.
Beyond Supermodel itself, the audience over-indexes on Ben Stiller (19.63×), Jeffrey Dean Morgan (19.63×), Nina Chuba (9.11×), and Jeremy Renner (19.63×) compared to the Germany average.
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in Germany who actively search for Supermodel. 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 Germany. 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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