A data profile of the people who buy, follow and care about Marketing automation in Germany — modelled from more than twelve digital signal sources. Marketing automation has an estimated audience of 246,241 people in Germany.
The average Marketing automation fan in Germany is 41.7 years old, more male, and lives primarily in Nordrhein-Westfalen.
The audience is concentrated in Nordrhein-Westfalen, Bayern, Baden-Württemberg.
Top brand affinities include GitHub, Affiliate marketing, Chatterbot, with strongest over-indexing on GitHub (20× the country average).
Demographically, the Marketing automation audience skews more male with an average age of 41.7, and over-indexes on personality traits such as Career Orientation, Mindfulness.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 16 regions tracked by Rascasse.
The typical Marketing automation fan in Germany is more male, around 41.7 years old, with strong Career Orientation tendencies and a notable affinity for GitHub.
The key figures that characterise the Marketing automation profile in Germany.
41.2% are female, 58.8% are male, average age 41.7.
| Metric | Value |
|---|---|
| Female | 41.2% |
| Male | 58.8% |
| Average age | 41.7 |
| Estimated audience size | 246,241 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 19% | |
| 20-29 | 11% | |
| 30-39 | 17% | |
| 40-49 | 30% | |
| 50+ | 23% |
of the worldwide Marketing automation audience comes from Germany.
| Country | Share |
|---|---|
| United States | 22.7% |
| Japan | 7.3% |
| Italy | 6.3% |
Where the Marketing automation audience in Germany is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Hamburg | ~10K | 2.51× | |
| 02 | Berlin | ~20K | 2.09× | |
| 03 | Sachsen | ~20K | 1.42× | |
| 04 | Hessen | ~20K | 1.26× | |
| 05 | Bayern | ~50K | 1.17× | |
| 06 | Baden-Württemberg | ~40K | 1.09× | |
| 07 | Bremen | ~2K | 1.05× | |
| 08 | Saarland | ~3K | 0.98× | |
| 09 | Nordrhein-Westfalen | ~50K | 0.92× | |
| 10 | Thüringen | ~6K | 0.92× | |
| 11 | Mecklenburg-Vorpommern | ~4K | 0.89× | |
| 12 | Sachsen-Anhalt | ~6K | 0.86× | |
| 13 | Brandenburg | ~6K | 0.84× | |
| 14 | Schleswig-Holstein | ~7K | 0.82× | |
| 15 | Rheinland-Pfalz | ~10K | 0.80× | |
| 16 | Niedersachsen | ~20K | 0.68× |
The strongest cross-interests of the Marketing automation audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Chatterbot | Technology & Electronics | 61.02× | ||
| 02 | Data visualization | Technology & Electronics | 26.38× | ||
| 03 | Non-fungible token | Technology & Electronics | 23.61× | ||
| 04 | Oracle Corporation | Technology & Electronics | 20.80× | ||
| 05 | GitHub | Internet & Social Media | 20.00× | ||
| 06 | Google Trends | Internet & Social Media | 20.00× | ||
| 07 | BMW i8 | Cars & Mobility | 20.00× | ||
| 08 | State school | Kids & Family | 20.00× | ||
| 09 | Affiliate marketing | Business & Career | 19.62× | ||
| 10 | 5G | Technology & Electronics | 19.15× | ||
| 11 | Digital transformation | Business & Career | 13.19× | ||
| 12 | Google News | News | 12.05× | ||
| 13 | Moodle | Technology & Electronics | 9.82× | ||
| 14 | Payback | Shopping | 7.92× | ||
| 15 | Cloud computing | Technology & Electronics | 7.40× | ||
| 16 | Social media marketing | Business & Career | 5.61× | ||
| 17 | Innovation | Business & Career | 4.16× | ||
| 18 | Family | Kids & Family | 3.69× | ||
| 19 | Nature | Home & Garden | 3.63× | ||
| 20 | Germany | Travel & Leisure | 2.34× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Career Orientation | POWER | 2.99× | |
| Mindfulness | BALANCE | 2.44× | |
| Need for Security | CONSERVATISM | 2.14× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Pet Ownership | JOY | 0.67× | |
| Price Sensitivity | PREMIUM | 0.74× | |
| Creativity | OPEN | 0.83× |
Marketing automation has an estimated audience of 246,241 people in Germany, concentrated in Nordrhein-Westfalen and Bayern.
41.2% of Marketing automation fans are female, 58.8% are male, with an average age of 41.7 years.
Marketing automation fans show strongest brand affinity for GitHub (20×), Affiliate marketing (19.62×), and Chatterbot (61.02×) over the country average.
Marketing automation fans in Germany are most concentrated in Nordrhein-Westfalen (reach ~50K), Bayern (reach ~50K), and Baden-Württemberg (reach ~40K). These three regions account for the largest share of the active audience.
Beyond Marketing automation itself, the audience over-indexes on Affiliate marketing (19.62×), Chatterbot (61.02×), Google News (12.05×), and Cloud computing (7.4×) 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 Marketing automation. 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.
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