Star Alliance Target Market in Germany
A data profile of the people who buy, follow and care about Star Alliance in Germany — modelled from more than twelve digital signal sources. Star Alliance has an estimated audience of 549,429 people in Germany.
The average Star Alliance fan in Germany is 42.3 years old, balanced, and lives primarily in Bayern.
The audience is concentrated in Bayern, Nordrhein-Westfalen, Hessen.
Top brand affinities include Lufthansa, SunExpress, Eurowings, with strongest over-indexing on Lufthansa (3.93× the country average).
Demographically, the Star Alliance audience skews balanced with an average age of 42.3, and over-indexes on personality traits such as Quality Awareness, Travelling.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 16 regions tracked by Rascasse.
The typical Star Alliance fan in Germany is balanced, around 42.3 years old, with strong Quality Awareness tendencies and a notable affinity for Lufthansa.
At a glance
The key figures that characterise the Star Alliance profile in Germany.
Search interest · 12-month trend
Customer demographics of Star Alliance
46.2% are female, 53.8% are male, average age 42.3.
Gender split
| Metric | Value |
|---|---|
| Female | 46.2% |
| Male | 53.8% |
| Average age | 42.3 |
| Estimated audience size | 549,429 |
Age distribution
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 9% | |
| 20-29 | 19% | |
| 30-39 | 23% | |
| 40-49 | 28% | |
| 50+ | 21% |
Worldwide distribution
of the worldwide Star Alliance audience comes from Germany.
| Country | Share |
|---|---|
| United States | 12.9% |
| Germany | 7.4% |
| China | 5.6% |
Geography
Where the Star Alliance audience in Germany is strongest.
Top regions by affinity
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Hessen | ~90K | 2.16× | |
| 02 | Hamburg | ~20K | 1.65× | |
| 03 | Berlin | ~40K | 1.52× | |
| 04 | Bayern | ~100K | 1.50× | |
| 05 | Baden-Württemberg | ~80K | 1.11× | |
| 06 | Bremen | ~5K | 0.98× | |
| 07 | Nordrhein-Westfalen | ~100K | 0.94× | |
| 08 | Rheinland-Pfalz | ~30K | 0.93× | |
| 09 | Schleswig-Holstein | ~20K | 0.87× | |
| 10 | Brandenburg | ~10K | 0.86× | |
| 11 | Niedersachsen | ~40K | 0.76× | |
| 12 | Sachsen | ~20K | 0.73× | |
| 13 | Saarland | ~5K | 0.70× | |
| 14 | Thüringen | ~8K | 0.60× | |
| 15 | Sachsen-Anhalt | ~8K | 0.55× | |
| 16 | Mecklenburg-Vorpommern | ~6K | 0.55× |
Affinity by region
Audience interests & affinities
The strongest cross-interests of the Star Alliance audience — brands, topics and people combined.
Top cross-interests, ranked by affinity
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | AnadoluJet | Travel & Leisure | 17.67× | ||
| 02 | Scoot | Travel & Leisure | 16.13× | ||
| 03 | Singapore Changi Airport | Travel & Leisure | 14.07× | ||
| 04 | Aegean Airlines | Travel & Leisure | 6.78× | ||
| 05 | Swiss International Air Lines | Travel & Leisure | 5.64× | ||
| 06 | SunExpress | Travel & Leisure | 4.30× | ||
| 07 | Lufthansa | Travel & Leisure | 3.93× | ||
| 08 | Airline | Travel & Leisure | 3.68× | ||
| 09 | Eurowings | Travel & Leisure | 2.71× | ||
| 10 | Lotto Hessen | Games | 2.59× | ||
| 11 | TUI | Travel & Leisure | 2.25× | ||
| 12 | Ryanair | Travel & Leisure | 1.95× | ||
| 13 | Cologne | Travel & Leisure | 1.70× | ||
| 14 | AutoScout24 | Cars & Mobility | 1.69× | ||
| 15 | Netto Marken-Discount | Shopping | 1.67× | ||
| 16 | REWE | Shopping | 1.61× | ||
| 17 | Deutsche Bahn | Cars & Mobility | 1.61× | ||
| 18 | Airbnb | Travel & Leisure | 1.61× | ||
| 19 | Kaufland | Shopping | 1.55× | ||
| 20 | Internet & Social Media | 1.52× |
Personality of the Star Alliance 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 | 1.63× | |
| Travelling | THRILL | 1.43× | |
| Indulgence | JOY | 1.37× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Extroversion | THRILL | 0.91× | |
| Early Adopter Mentality | POWER | 0.91× | |
| Pet Ownership | JOY | 1.02× |
Frequently asked questions
Who is Star Alliance's target market in Germany?
Star Alliance's target market in Germany covers an estimated 549,429 people, concentrated in Bayern and Nordrhein-Westfalen.
What is the gender split and age of Star Alliance customers?
46.2% of the Star Alliance audience are female, 53.8% are male, with an average age of 42.3 years.
Which brands do Star Alliance fans like most?
Star Alliance fans show strongest brand affinity for Lufthansa (3.93×), SunExpress (4.3×), and Eurowings (2.71×) over the country average.
Where do Star Alliance fans live in Germany?
Star Alliance fans in Germany are most concentrated in Bayern (reach ~100K), Nordrhein-Westfalen (reach ~100K), and Hessen (reach ~90K). These three regions account for the largest share of the active audience.
What other brands do Star Alliance fans also like?
Beyond Star Alliance itself, the audience over-indexes on SunExpress (4.3×), Eurowings (2.71×), Airline (3.68×), and Ryanair (1.95×) compared to the Germany average.
Explore more audiences
Related profiles, rankings and the same audience in other markets.
More Airline audiences in Germany
- Ryanair (12,850,791)
- Lufthansa (11,437,298)
- Eurowings (10,032,496)
- SunExpress (6,280,871)
- EasyJet (3,261,670)
See Star Alliance audiences in other countries
How to read this data
Audience size is the estimated number of people in Germany who actively search for Star Alliance. 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.
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