AirBaltic Target Market in Germany
A data profile of the people who buy, follow and care about AirBaltic in Germany — modelled from more than twelve digital signal sources. AirBaltic has an estimated audience of 477,757 people in Germany.
The average AirBaltic fan in Germany is 41.9 years old, balanced, and lives primarily in Nordrhein-Westfalen.
The audience is concentrated in Nordrhein-Westfalen, Bayern, Baden-Württemberg.
Top brand affinities include EDreams, S7 Airlines, Vueling, with strongest over-indexing on EDreams (40.86× the country average).
Demographically, the AirBaltic audience skews balanced with an average age of 41.9, and over-indexes on personality traits such as Travelling, Urban Lifestyle.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 16 regions tracked by Rascasse.
The typical AirBaltic fan in Germany is balanced, around 41.9 years old, with strong Travelling tendencies and a notable affinity for EDreams.
At a glance
The key figures that characterise the AirBaltic profile in Germany.
Search interest · 12-month trend
Customer demographics of AirBaltic
50.7% are female, 49.3% are male, average age 41.9.
Gender split
| Metric | Value |
|---|---|
| Female | 50.7% |
| Male | 49.3% |
| Average age | 41.9 |
| Estimated audience size | 477,757 |
Age distribution
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 14% | |
| 20-29 | 16% | |
| 30-39 | 20% | |
| 40-49 | 25% | |
| 50+ | 25% |
Worldwide distribution
of the worldwide AirBaltic audience comes from Germany.
| Country | Share |
|---|---|
| Germany | 18.8% |
| Finland | 17.2% |
| United Kingdom | 6.1% |
Geography
Where the AirBaltic audience in Germany is strongest.
Top regions by affinity
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Hamburg | ~20K | 1.83× | |
| 02 | Berlin | ~40K | 1.72× | |
| 03 | Bayern | ~100K | 1.32× | |
| 04 | Bremen | ~5K | 1.30× | |
| 05 | Schleswig-Holstein | ~20K | 1.29× | |
| 06 | Hessen | ~40K | 1.08× | |
| 07 | Brandenburg | ~20K | 1.06× | |
| 08 | Nordrhein-Westfalen | ~100K | 1.00× | |
| 09 | Niedersachsen | ~40K | 0.95× | |
| 10 | Baden-Württemberg | ~50K | 0.79× | |
| 11 | Mecklenburg-Vorpommern | ~7K | 0.77× | |
| 12 | Sachsen | ~20K | 0.74× | |
| 13 | Rheinland-Pfalz | ~20K | 0.70× | |
| 14 | Thüringen | ~7K | 0.62× | |
| 15 | Sachsen-Anhalt | ~7K | 0.58× | |
| 16 | Saarland | ~3K | 0.54× |
Affinity by region
Audience interests & affinities
The strongest cross-interests of the AirBaltic audience — brands, topics and people combined.
Top cross-interests, ranked by affinity
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | S7 Airlines | Travel & Leisure | 109.60× | ||
| 02 | Riga | Travel & Leisure | 47.72× | ||
| 03 | EDreams | Travel & Leisure | 40.86× | ||
| 04 | Tandem skydiving | Sports | 40.81× | ||
| 05 | Remembrance Day | Politics & Society | 33.92× | ||
| 06 | Burial (musician) | Music & Radio | 30.84× | ||
| 07 | Exploring (Learning for Life) | Business & Career | 30.62× | ||
| 08 | Secret (deodorant brand) | Beauty & Wellness | 22.12× | ||
| 09 | Sebastian (French musician) | Music & Radio | 19.29× | ||
| 10 | Vueling | Travel & Leisure | 19.18× | ||
| 11 | Motel One | Travel & Leisure | 14.37× | ||
| 12 | Vaude | Fashion & Accessoires | 14.24× | ||
| 13 | Freeride | Sports | 14.12× | ||
| 14 | Bob Ross | Movies & TV | 11.05× | ||
| 15 | ONLINE ENGLISH | Business & Career | 9.42× | ||
| 16 | Habitat | Shopping | 9.20× | ||
| 17 | Opodo | Travel & Leisure | 7.50× | ||
| 18 | Web conferencing | Technology & Electronics | 5.02× | ||
| 19 | Eurowings | Travel & Leisure | 4.52× | ||
| 20 | Fabric (club) | Music & Radio | 4.50× |
Personality of the AirBaltic 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 |
|---|---|---|---|
| Travelling | THRILL | 1.22× | |
| Urban Lifestyle | OPEN | 1.19× | |
| Design Affinity | PREMIUM | 1.13× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| DIY Mentality | THRILL | 0.81× | |
| Social Media Usage | JOY | 0.82× | |
| Early Adopter Mentality | POWER | 0.82× |
Frequently asked questions
Who is AirBaltic's target market in Germany?
AirBaltic's target market in Germany covers an estimated 477,757 people, concentrated in Nordrhein-Westfalen and Bayern.
What is the gender split and age of AirBaltic customers?
50.7% of the AirBaltic audience are female, 49.3% are male, with an average age of 41.9 years.
Which brands do AirBaltic fans like most?
AirBaltic fans show strongest brand affinity for EDreams (40.86×), S7 Airlines (109.6×), and Vueling (19.18×) over the country average.
Where do AirBaltic fans live in Germany?
AirBaltic fans in Germany are most concentrated in Nordrhein-Westfalen (reach ~100K), Bayern (reach ~100K), and Baden-Württemberg (reach ~50K). These three regions account for the largest share of the active audience.
What other brands do AirBaltic fans also like?
Beyond AirBaltic itself, the audience over-indexes on S7 Airlines (109.6×), Vueling (19.18×), Eurowings (4.52×), and Vaude (14.24×) 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)
How to read this data
Audience size is the estimated number of people in Germany who actively search for AirBaltic. 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.