Revenue Audience in Germany
A data profile of the people who buy, follow and care about Revenue in Germany — modelled from more than twelve digital signal sources. Revenue has an estimated audience of 1,278,958 people in Germany.
The average Revenue fan in Germany is 40.9 years old, balanced, and lives primarily in Nordrhein-Westfalen.
The audience is concentrated in Nordrhein-Westfalen, Bayern, Baden-Württemberg.
Top brand affinities include Nino de Angelo, Tagesschau, Rosamund Pike, with strongest over-indexing on Nino de Angelo (13.95× the country average).
Demographically, the Revenue audience skews balanced with an average age of 40.9, and over-indexes on personality traits such as Quality Awareness, Early Adopter Mentality.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 16 regions tracked by Rascasse.
The typical Revenue fan in Germany is balanced, around 40.9 years old, with strong Quality Awareness tendencies and a notable affinity for Nino de Angelo.
At a glance
The key figures that characterise the Revenue profile in Germany.
Search interest · 12-month trend
Demographics of Revenue fans
53.1% are female, 46.9% are male, average age 40.9.
Gender split
| Metric | Value |
|---|---|
| Female | 53.1% |
| Male | 46.9% |
| Average age | 40.9 |
| Estimated audience size | 1,278,958 |
Age distribution
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 14% | |
| 20-29 | 19% | |
| 30-39 | 23% | |
| 40-49 | 25% | |
| 50+ | 20% |
Worldwide distribution
of the worldwide Revenue audience comes from Germany.
| Country | Share |
|---|---|
| United States | 26.5% |
| Brazil | 15.6% |
| United Kingdom | 5.2% |
Geography
Where the Revenue audience in Germany is strongest.
Top regions by affinity
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Hessen | ~200K | 1.79× | |
| 02 | Berlin | ~90K | 1.49× | |
| 03 | Hamburg | ~40K | 1.38× | |
| 04 | Bayern | ~300K | 1.30× | |
| 05 | Baden-Württemberg | ~200K | 1.15× | |
| 06 | Bremen | ~10K | 1.04× | |
| 07 | Nordrhein-Westfalen | ~300K | 1.02× | |
| 08 | Rheinland-Pfalz | ~60K | 0.91× | |
| 09 | Schleswig-Holstein | ~40K | 0.90× | |
| 10 | Sachsen | ~50K | 0.87× | |
| 11 | Niedersachsen | ~100K | 0.86× | |
| 12 | Saarland | ~10K | 0.81× | |
| 13 | Brandenburg | ~30K | 0.78× | |
| 14 | Thüringen | ~20K | 0.76× | |
| 15 | Mecklenburg-Vorpommern | ~20K | 0.74× | |
| 16 | Sachsen-Anhalt | ~20K | 0.71× |
Affinity by region
Audience interests & affinities
The strongest cross-interests of the Revenue audience — brands, topics and people combined.
Top cross-interests, ranked by affinity
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Nino de Angelo | Music & Radio | 13.95× | ||
| 02 | Missoni | Fashion & Accessoires | 13.95× | ||
| 03 | David Hockney | Arts & Culture | 13.00× | ||
| 04 | Rosamund Pike | Movies & TV | 10.44× | ||
| 05 | paul smith | Fashion & Accessoires | 8.16× | ||
| 06 | Muji | Home & Garden | 7.42× | ||
| 07 | Financial Times | News | 7.09× | ||
| 08 | Non-alcoholic beverage | Food & Beverages | 5.58× | ||
| 09 | Omega | Fashion & Accessoires | 5.27× | ||
| 10 | Ryan Gosling | Movies & TV | 4.53× | ||
| 11 | Web server | Technology & Electronics | 4.43× | ||
| 12 | Internet & Social Media | 3.82× | |||
| 13 | Solar cell | Home & Garden | 3.74× | ||
| 14 | Efficient energy use | Technology & Electronics | 2.54× | ||
| 15 | Innovation | Business & Career | 2.35× | ||
| 16 | Online newspaper | News | 2.21× | ||
| 17 | Internet & Social Media | 2.07× | |||
| 18 | Commerzbank | Business & Career | 2.03× | ||
| 19 | Tagesschau | Movies & TV | 1.84× | ||
| 20 | Nature | Home & Garden | 1.54× |
Personality of the Revenue audience
Values above 1.00× are above the country average, values below 1.00× below it.
Deviation from the national baseline
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Quality Awareness | PREMIUM | 2.82× | |
| Early Adopter Mentality | POWER | 2.10× | |
| Career Orientation | POWER | 1.89× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Price Sensitivity | PREMIUM | 0.62× | |
| Creativity | OPEN | 0.80× | |
| DIY Mentality | THRILL | 0.81× |
Frequently asked questions
How many fans does Revenue have in Germany?
Revenue has an estimated audience of 1,278,958 people in Germany, concentrated in Nordrhein-Westfalen and Bayern.
What is the gender split and age of Revenue fans?
53.1% of Revenue fans are female, 46.9% are male, with an average age of 40.9 years.
Which brands do Revenue fans like most?
Revenue fans show strongest brand affinity for Nino de Angelo (13.95×), Tagesschau (1.84×), and Rosamund Pike (10.44×) over the country average.
Where do Revenue fans live in Germany?
Revenue fans in Germany are most concentrated in Nordrhein-Westfalen (reach ~300K), Bayern (reach ~300K), and Baden-Württemberg (reach ~200K). These three regions account for the largest share of the active audience.
What other brands do Revenue fans also like?
Beyond Revenue itself, the audience over-indexes on Tagesschau (1.84×), Rosamund Pike (10.44×), Missoni (13.95×), and Non-alcoholic beverage (5.58×) compared to the Germany average.
Explore more audiences
Related profiles, rankings and the same audience in other markets.
More Business & Career audiences in Germany
- Food and drink (39,623,635)
- Entertainment (39,502,829)
- Business and industry (39,157,865)
- Shopping and fashion (38,134,645)
- Arts and music (37,163,288)
See Revenue audiences in other countries
How to read this data
Audience size is the estimated number of people in Germany who actively search for Revenue. 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.
About this audience profile
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.