A data profile of the people who buy, follow and care about BigFM in Germany — modelled from more than twelve digital signal sources. BigFM has an estimated audience of 506,146 people in Germany.
The average BigFM fan in Germany is 30.6 years old, balanced, and lives primarily in Baden-Württemberg.
The audience is concentrated in Baden-Württemberg, Nordrhein-Westfalen, Rheinland-Pfalz.
Top brand affinities include Lola Weippert, Dakota Johnson, Aral AG, with strongest over-indexing on Lola Weippert (33.28× the country average).
Demographically, the BigFM audience skews balanced with an average age of 30.6, and over-indexes on personality traits such as Patriotism, Extroversion.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 16 regions tracked by Rascasse.
The typical BigFM fan in Germany is balanced, around 30.6 years old, with strong Patriotism tendencies and a notable affinity for Lola Weippert.
The key figures that characterise the BigFM profile in Germany.
49.0% are female, 51.0% are male, average age 30.6.
| Metric | Value |
|---|---|
| Female | 49.0% |
| Male | 51.0% |
| Average age | 30.6 |
| Estimated audience size | 506,146 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 39% | |
| 20-29 | 27% | |
| 30-39 | 17% | |
| 40-49 | 10% | |
| 50+ | 6% |
of the worldwide BigFM audience comes from Germany.
| Country | Share |
|---|---|
| Germany | 83.8% |
| Austria | 2.4% |
| Switzerland | 2.3% |
Where the BigFM audience in Germany is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Rheinland-Pfalz | ~100K | 3.95× | |
| 02 | Baden-Württemberg | ~200K | 3.61× | |
| 03 | Saarland | ~10K | 2.42× | |
| 04 | Hessen | ~60K | 1.46× | |
| 05 | Nordrhein-Westfalen | ~100K | 1.15× | |
| 06 | Bayern | ~50K | 0.59× | |
| 07 | Bremen | ~2K | 0.55× | |
| 08 | Niedersachsen | ~20K | 0.46× | |
| 09 | Thüringen | ~5K | 0.43× | |
| 10 | Mecklenburg-Vorpommern | ~4K | 0.42× | |
| 11 | Sachsen-Anhalt | ~5K | 0.38× | |
| 12 | Hamburg | ~4K | 0.38× | |
| 13 | Brandenburg | ~6K | 0.37× | |
| 14 | Sachsen | ~8K | 0.34× | |
| 15 | Schleswig-Holstein | ~6K | 0.34× | |
| 16 | Berlin | ~6K | 0.28× |
The strongest cross-interests of the BigFM audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Radio Eska | Music & Radio | 44.64× | ||
| 02 | Martin Schulz | Politics & Society | 41.57× | ||
| 03 | Lola Weippert | Movies & TV | 33.28× | ||
| 04 | Legoland Deutschland Resort | Travel & Leisure | 32.19× | ||
| 05 | RMF FM | Music & Radio | 32.15× | ||
| 06 | Angelique Kerber | Sports | 21.37× | ||
| 07 | Dakota Johnson | Movies & TV | 19.10× | ||
| 08 | Pitch Perfect | Movies & TV | 18.55× | ||
| 09 | Channing Tatum | Movies & TV | 12.02× | ||
| 10 | Matthias Schweighöfer | Movies & TV | 10.46× | ||
| 11 | Berliner Zeitung | News | 9.89× | ||
| 12 | Nena | Music & Radio | 8.51× | ||
| 13 | Targobank | Business & Career | 8.36× | ||
| 14 | Aral AG | Cars & Mobility | 8.13× | ||
| 15 | SunExpress | Travel & Leisure | 6.82× | ||
| 16 | Electronic (band) | Music & Radio | 6.57× | ||
| 17 | Lena Meyer-Landrut | Music & Radio | 5.08× | ||
| 18 | Commerzbank | Business & Career | 4.35× | ||
| 19 | Sportschau | Sports | 3.29× | ||
| 20 | Bild | News | 2.09× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 1.95× | |
| Extroversion | THRILL | 1.52× | |
| Quality Awareness | PREMIUM | 1.45× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Travelling | THRILL | 0.88× | |
| Urban Lifestyle | OPEN | 0.95× | |
| Luxury Orientation | PREMIUM | 0.95× |
BigFM has an estimated audience of 506,146 people in Germany, concentrated in Baden-Württemberg and Nordrhein-Westfalen.
49.0% of BigFM fans are female, 51.0% are male, with an average age of 30.6 years.
BigFM fans show strongest brand affinity for Lola Weippert (33.28×), Dakota Johnson (19.1×), and Aral AG (8.13×) over the country average.
BigFM fans in Germany are most concentrated in Baden-Württemberg (reach ~200K), Nordrhein-Westfalen (reach ~100K), and Rheinland-Pfalz (reach ~100K). These three regions account for the largest share of the active audience.
Beyond BigFM itself, the audience over-indexes on Dakota Johnson (19.1×), Aral AG (8.13×), Targobank (8.36×), and SunExpress (6.82×) 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 BigFM. 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.
From global mass-market brands to niche local segments — explore the full library and see which intelligence layers are included.