A data profile of the people who buy, follow and care about Golden Goose in Germany — modelled from more than twelve digital signal sources. Golden Goose has an estimated audience of 726,135 people in Germany.
The average Golden Goose fan in Germany is 36.0 years old, more female, and lives primarily in Nordrhein-Westfalen.
The audience is concentrated in Nordrhein-Westfalen, Bayern, Baden-Württemberg.
Top brand affinities include Longchamp, DKNY, Brunello Cucinelli, with strongest over-indexing on Longchamp (32.41× the country average).
Demographically, the Golden Goose audience skews more female with an average age of 36.0, and over-indexes on personality traits such as Luxury Orientation, Indulgence.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 16 regions tracked by Rascasse.
The typical Golden Goose fan in Germany is more female, around 36.0 years old, with strong Luxury Orientation tendencies and a notable affinity for Longchamp.
The key figures that characterise the Golden Goose profile in Germany.
74.4% are female, 25.6% are male, average age 36.0.
| Metric | Value |
|---|---|
| Female | 74.4% |
| Male | 25.6% |
| Average age | 36.0 |
| Estimated audience size | 726,135 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 29% | |
| 20-29 | 19% | |
| 30-39 | 20% | |
| 40-49 | 18% | |
| 50+ | 15% |
of the worldwide Golden Goose audience comes from Germany.
| Country | Share |
|---|---|
| Italy | 14.9% |
| United States | 12.7% |
| France | 9.6% |
Where the Golden Goose audience in Germany is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Hamburg | ~30K | 1.96× | |
| 02 | Hessen | ~90K | 1.71× | |
| 03 | Bayern | ~100K | 1.31× | |
| 04 | Nordrhein-Westfalen | ~200K | 1.29× | |
| 05 | Schleswig-Holstein | ~30K | 1.29× | |
| 06 | Saarland | ~10K | 1.14× | |
| 07 | Bremen | ~6K | 1.09× | |
| 08 | Baden-Württemberg | ~100K | 1.07× | |
| 09 | Niedersachsen | ~70K | 1.03× | |
| 10 | Rheinland-Pfalz | ~30K | 0.93× | |
| 11 | Berlin | ~30K | 0.92× | |
| 12 | Mecklenburg-Vorpommern | ~8K | 0.58× | |
| 13 | Brandenburg | ~10K | 0.51× | |
| 14 | Thüringen | ~8K | 0.46× | |
| 15 | Sachsen | ~10K | 0.45× | |
| 16 | Sachsen-Anhalt | ~7K | 0.41× |
The strongest cross-interests of the Golden Goose audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Brunello Cucinelli | Fashion & Accessoires | 36.99× | ||
| 02 | Pinko (fashion) | Fashion & Accessoires | 36.93× | ||
| 03 | Mulberry (company) | Fashion & Accessoires | 35.97× | ||
| 04 | Longchamp | Fashion & Accessoires | 32.41× | ||
| 05 | AllSaints | Shopping | 31.61× | ||
| 06 | DKNY | Fashion & Accessoires | 25.11× | ||
| 07 | Manolo Blahnik | Fashion & Accessoires | 23.53× | ||
| 08 | Victoria Beckham | Fashion & Accessoires | 23.28× | ||
| 09 | paul smith | Fashion & Accessoires | 23.05× | ||
| 10 | Vivienne Westwood | Fashion & Accessoires | 22.24× | ||
| 11 | Philipp Plein | Fashion & Accessoires | 19.78× | ||
| 12 | Reiss (brand) | Fashion & Accessoires | 16.40× | ||
| 13 | Moschino | Fashion & Accessoires | 14.45× | ||
| 14 | Wallet | Fashion & Accessoires | 14.42× | ||
| 15 | Karl Lagerfeld | Fashion & Accessoires | 13.40× | ||
| 16 | Moncler | Fashion & Accessoires | 10.53× | ||
| 17 | Bag | Fashion & Accessoires | 9.97× | ||
| 18 | Balenciaga | Fashion & Accessoires | 7.94× | ||
| 19 | Marco Polo | Fashion & Accessoires | 7.11× | ||
| 20 | Hermès | Fashion & Accessoires | 5.37× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Luxury Orientation | PREMIUM | 2.47× | |
| Indulgence | JOY | 2.21× | |
| Quality Awareness | PREMIUM | 2.21× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 0.54× | |
| Tradition | CONSERVATISM | 0.73× | |
| Urban Lifestyle | OPEN | 0.77× |
Golden Goose's target market in Germany covers an estimated 726,135 people, concentrated in Nordrhein-Westfalen and Bayern.
74.4% of the Golden Goose audience are female, 25.6% are male, with an average age of 36.0 years.
Golden Goose fans show strongest brand affinity for Longchamp (32.41×), DKNY (25.11×), and Brunello Cucinelli (36.99×) over the country average.
Golden Goose fans in Germany are most concentrated in Nordrhein-Westfalen (reach ~200K), Bayern (reach ~100K), and Baden-Württemberg (reach ~100K). These three regions account for the largest share of the active audience.
Beyond Golden Goose itself, the audience over-indexes on DKNY (25.11×), Brunello Cucinelli (36.99×), Victoria Beckham (23.28×), and Vivienne Westwood (22.24×) 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 Golden Goose. 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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