Trigema has an estimated audience of 2.1M people in Germany.
The average Trigema fan in Germany is 39.6 years old, more female, and lives primarily in Baden-Württemberg.
By number of fans, Trigema ranks #7 among the 54 objects in Mainstream fashion in Germany — 5.7× the group median.
Its fans are 4.1 years older than the group average of 35.5.
Women make up 69.8% of the fan base, 4.3 percentage points more than the group average.
Compared with the other 53 objects in Mainstream fashion, Trigema fans stand out for their interest in Otto GmbH, Bertolt Brecht and James Franco.
Most fans live in Baden-Württemberg, Bayern, Nordrhein-Westfalen.
Top affinities include Otto GmbH, Bertolt Brecht, James Franco, with strongest over-indexing on Otto GmbH (16.63× the country average).
Demographically, the Trigema audience skews more female with an average age of 39.6, and over-indexes on personality traits such as Creativity, Quality Awareness.
The typical Trigema fan in Germany is more female, around 39.6 years old, with strong Creativity tendencies and a notable affinity for Otto GmbH.
69.8% are female, 30.2% are male, average age 39.6.
| Metric | Value |
|---|---|
| Female | 69.8% |
| Male | 30.2% |
| Average age | 39.6 |
| Estimated audience size | 2.1M |
| Age bracket | Share | % |
|---|---|---|
| 16-24 | 17% | |
| 25-34 | 21% | |
| 35-44 | 23% | |
| 45-54 | 23% | |
| 55+ | 16% |
of the worldwide Trigema audience comes from Germany.
| Country | Share |
|---|---|
| Germany | 91.1% |
| Austria | 3.0% |
| Switzerland | 2.1% |
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Baden-Württemberg | ~500K | 2.15× | |
| 02 | Bayern | ~400K | 1.38× | |
| 03 | Rheinland-Pfalz | ~100K | 1.31× | |
| 04 | Hessen | ~200K | 1.21× | |
| 05 | Schleswig-Holstein | ~80K | 1.15× | |
| 06 | Niedersachsen | ~200K | 1.10× | |
| 07 | Nordrhein-Westfalen | ~400K | 0.97× | |
| 08 | Saarland | ~20K | 0.93× | |
| 09 | Sachsen | ~80K | 0.87× | |
| 10 | Hamburg | ~40K | 0.85× | |
| 11 | Thüringen | ~40K | 0.78× | |
| 12 | Mecklenburg-Vorpommern | ~20K | 0.71× | |
| 13 | Sachsen-Anhalt | ~30K | 0.69× | |
| 14 | Brandenburg | ~40K | 0.67× | |
| 15 | Berlin | ~50K | 0.66× | |
| 16 | Bremen | ~10K | 0.66× |
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Otto GmbH | Shopping | 16.63× | ||
| 02 | Bertolt Brecht | Literature | 7.97× | ||
| 03 | James Franco | Movies & TV | 7.66× | ||
| 04 | Jennifer Love Hewitt | Movies & TV | 7.65× | ||
| 05 | Otto Waalkes | Movies & TV | 5.16× | ||
| 06 | Gina Tricot | Fashion & Accessoires | 4.93× | ||
| 07 | Oysho | Fashion & Accessoires | 4.04× | ||
| 08 | Aerobics | Sports | 3.92× | ||
| 09 | Polo Ralph Lauren | Fashion & Accessoires | 3.87× | ||
| 10 | Ulla Popken | Fashion & Accessoires | 3.21× | ||
| 11 | Ernsting's family | Shopping | 2.94× | ||
| 12 | C&A | Shopping | 2.89× | ||
| 13 | Deichmann | Shopping | 2.34× | ||
| 14 | Tchibo | Shopping | 2.29× | ||
| 15 | RTL Television | Movies & TV | 2.20× | ||
| 16 | QVC | Movies & TV | 2.18× | ||
| 17 | H&M | Shopping | 1.77× | ||
| 18 | TK Maxx | Shopping | 1.70× | ||
| 19 | IKEA | Home & Garden | 1.65× | ||
| 20 | Lidl | Shopping | 1.52× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Creativity | OPEN | 1.43× | |
| Quality Awareness | PREMIUM | 1.28× | |
| Design Affinity | PREMIUM | 1.28× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Risk Appetite | THRILL | 0.86× | |
| Pet Ownership | JOY | 0.88× | |
| Social Media Usage | JOY | 0.90× |
Cite as: “Rascasse Solution, Q2/2026, rascasse.com/explore/de/trigema-10000418” · Methodology