Penny has an estimated audience of 9.9M people in Germany.
The average Penny fan in Germany is 41.3 years old, balanced, and lives primarily in Nordrhein-Westfalen.
By number of fans, Penny ranks #8 among the 224 objects in Supermarket in Germany — 75.6× the group median.
Its fans are 2.6 years older than the group average of 38.7.
Women make up 53.0% of the fan base, 7.9 percentage points fewer than the group average.
Compared with the other 223 objects in Supermarket, Penny fans stand out for their interest in Bedroom furniture, Esso and Western Union.
Most fans live in Nordrhein-Westfalen, Baden-Württemberg, Bayern.
Top affinities include Bedroom furniture, Woolworths, Netto Marken-Discount, with strongest over-indexing on Bedroom furniture (4.47× the country average).
Demographically, the Penny audience skews balanced with an average age of 41.3, and over-indexes on personality traits such as Price Sensitivity, Indulgence.
The typical Penny fan in Germany is balanced, around 41.3 years old, with strong Price Sensitivity tendencies and a notable affinity for Bedroom furniture.
53.0% are female, 47.0% are male, average age 41.3.
| Metric | Value |
|---|---|
| Female | 53.0% |
| Male | 47.0% |
| Average age | 41.3 |
| Estimated audience size | 9.9M |
| Age bracket | Share | % |
|---|---|---|
| 16-24 | 17% | |
| 25-34 | 17% | |
| 35-44 | 21% | |
| 45-54 | 24% | |
| 55+ | 21% |
of the worldwide Penny audience comes from Germany.
| Country | Share |
|---|---|
| Germany | 84.2% |
| Italy | 7.2% |
| Austria | 4.4% |
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Hamburg | ~400K | 1.87× | |
| 02 | Bremen | ~100K | 1.26× | |
| 03 | Schleswig-Holstein | ~400K | 1.25× | |
| 04 | Baden-Württemberg | ~1.5M | 1.13× | |
| 05 | Mecklenburg-Vorpommern | ~200K | 1.10× | |
| 06 | Rheinland-Pfalz | ~500K | 1.02× | |
| 07 | Berlin | ~400K | 1.01× | |
| 08 | Nordrhein-Westfalen | ~2M | 1.00× | |
| 09 | Niedersachsen | ~900K | 0.98× | |
| 10 | Sachsen | ~500K | 0.95× | |
| 11 | Sachsen-Anhalt | ~200K | 0.94× | |
| 12 | Hessen | ~700K | 0.93× | |
| 13 | Brandenburg | ~200K | 0.81× | |
| 14 | Bayern | ~1M | 0.78× | |
| 15 | Thüringen | ~100K | 0.54× | |
| 16 | Saarland | ~60K | 0.46× |
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Bedroom furniture | Home & Garden | 4.47× | ||
| 02 | Woolworths | Shopping | 3.15× | ||
| 03 | Netto Marken-Discount | Shopping | 3.08× | ||
| 04 | Esso | Cars & Mobility | 2.83× | ||
| 05 | REWE | Shopping | 2.82× | ||
| 06 | Western Union | Business & Career | 2.62× | ||
| 07 | Aldi | Shopping | 2.39× | ||
| 08 | Vacations | Travel & Leisure | 2.29× | ||
| 09 | Nature | Home & Garden | 2.28× | ||
| 10 | KiK | Shopping | 2.13× | ||
| 11 | Biology | Health | 2.12× | ||
| 12 | Kaufland | Shopping | 1.98× | ||
| 13 | Technology & Electronics | 1.97× | |||
| 14 | Family | Kids & Family | 1.95× | ||
| 15 | Volunteering | Politics & Society | 1.89× | ||
| 16 | Focus | News | 1.80× | ||
| 17 | Düsseldorf | Travel & Leisure | 1.65× | ||
| 18 | Supermarket | Shopping | 1.56× | ||
| 19 | Tattoos | Fashion & Accessoires | 1.53× | ||
| 20 | German language | Politics & Society | 1.51× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Price Sensitivity | PREMIUM | 1.35× | |
| Indulgence | JOY | 1.26× | |
| Need for Security | CONSERVATISM | 1.23× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Risk Appetite | THRILL | 0.84× | |
| Pet Ownership | JOY | 0.86× | |
| Sports Activity | POWER | 0.86× |
Cite as: “Rascasse Solution, Q3/2026, rascasse.com/explore/de/penny-10010247” · Methodology