Self-healing Audience in Germany
A data profile of the people who buy, follow and care about Self-healing in Germany — modelled from more than twelve digital signal sources. Self-healing has an estimated audience of 1,334,149 people in Germany.
The average Self-healing fan in Germany is 36.4 years old, more female, and lives primarily in Nordrhein-Westfalen.
The audience is concentrated in Nordrhein-Westfalen, Bayern, Baden-Württemberg.
Top brand affinities include Self-love, Self-help, Sports, with strongest over-indexing on Self-love (3.14× the country average).
Demographically, the Self-healing audience skews more female with an average age of 36.4, and over-indexes on personality traits such as Mindfulness, Sports Activity.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 16 regions tracked by Rascasse.
The typical Self-healing fan in Germany is more female, around 36.4 years old, with strong Mindfulness tendencies and a notable affinity for Self-love.
At a glance
The key figures that characterise the Self-healing profile in Germany.
Search interest · 12-month trend
Demographics of Self-healing fans
71.5% are female, 28.5% are male, average age 36.4.
Gender split
| Metric | Value |
|---|---|
| Female | 71.5% |
| Male | 28.5% |
| Average age | 36.4 |
| Estimated audience size | 1,334,149 |
Age distribution
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 26% | |
| 20-29 | 20% | |
| 30-39 | 19% | |
| 40-49 | 21% | |
| 50+ | 13% |
Worldwide distribution
of the worldwide Self-healing audience comes from Germany.
| Country | Share |
|---|---|
| United States | 22.8% |
| India | 4.7% |
| United Kingdom | 4.5% |
Geography
Where the Self-healing audience in Germany is strongest.
Top regions by affinity
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Saarland | ~20K | 1.10× | |
| 02 | Bremen | ~10K | 1.09× | |
| 03 | Sachsen-Anhalt | ~40K | 1.06× | |
| 04 | Thüringen | ~30K | 1.03× | |
| 05 | Brandenburg | ~40K | 1.02× | |
| 06 | Mecklenburg-Vorpommern | ~30K | 1.02× | |
| 07 | Schleswig-Holstein | ~50K | 0.99× | |
| 08 | Hamburg | ~30K | 0.99× | |
| 09 | Rheinland-Pfalz | ~60K | 0.97× | |
| 10 | Sachsen | ~60K | 0.96× | |
| 11 | Berlin | ~60K | 0.95× | |
| 12 | Hessen | ~100K | 0.94× | |
| 13 | Niedersachsen | ~100K | 0.93× | |
| 14 | Baden-Württemberg | ~200K | 0.90× | |
| 15 | Bayern | ~200K | 0.89× | |
| 16 | Nordrhein-Westfalen | ~200K | 0.85× |
Affinity by region
Audience interests & affinities
The strongest cross-interests of the Self-healing audience — brands, topics and people combined.
Top cross-interests, ranked by affinity
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Healing | Health | 5.69× | ||
| 02 | Hatha yoga | Health | 5.25× | ||
| 03 | Productivity | Business & Career | 4.74× | ||
| 04 | Kundalini yoga | Health | 4.69× | ||
| 05 | Self-help | Health | 4.64× | ||
| 06 | Hot yoga | Sports | 4.49× | ||
| 07 | Mindfulness | Health | 3.29× | ||
| 08 | Self care | Health | 3.20× | ||
| 09 | Self-love | Health | 3.14× | ||
| 10 | Spirituality | Health | 3.11× | ||
| 11 | Self-knowledge (psychology) | Health | 3.00× | ||
| 12 | Self-awareness | Health | 2.84× | ||
| 13 | Health & wellness | Health | 2.36× | ||
| 14 | Hugendubel | Shopping | 2.30× | ||
| 15 | Personal development | Business & Career | 2.13× | ||
| 16 | Airbnb | Travel & Leisure | 1.84× | ||
| 17 | Psychology | Business & Career | 1.61× | ||
| 18 | TikTok | Internet & Social Media | 1.53× | ||
| 19 | Sports | Sports | 1.50× | ||
| 20 | Harry Potter | Movies & TV | 1.50× |
Personality of the Self-healing 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 |
|---|---|---|---|
| Mindfulness | BALANCE | 3.27× | |
| Sports Activity | POWER | 1.62× | |
| Healthy Lifestyle | BALANCE | 1.60× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Need for Security | CONSERVATISM | 0.70× | |
| Quality Awareness | PREMIUM | 0.76× | |
| DIY Mentality | THRILL | 0.81× |
Frequently asked questions
How many fans does Self-healing have in Germany?
Self-healing has an estimated audience of 1,334,149 people in Germany, concentrated in Nordrhein-Westfalen and Bayern.
What is the gender split and age of Self-healing fans?
71.5% of Self-healing fans are female, 28.5% are male, with an average age of 36.4 years.
Which brands do Self-healing fans like most?
Self-healing fans show strongest brand affinity for Self-love (3.14×), Self-help (4.64×), and Sports (1.5×) over the country average.
Where do Self-healing fans live in Germany?
Self-healing fans in Germany are most concentrated in Nordrhein-Westfalen (reach ~200K), Bayern (reach ~200K), and Baden-Württemberg (reach ~200K). These three regions account for the largest share of the active audience.
What other brands do Self-healing fans also like?
Beyond Self-healing itself, the audience over-indexes on Self-help (4.64×), Sports (1.5×), Self care (3.2×), and Hatha yoga (5.25×) compared to the Germany average.
Explore more audiences
Related profiles, rankings and the same audience in other markets.
More Health 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 Self-healing audiences in other countries
How to read this data
Audience size is the estimated number of people in Germany who actively search for Self-healing. 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.