A data profile of the people who buy, follow and care about Coffeehouses in Belgium — modelled from more than twelve digital signal sources. Coffeehouses has an estimated audience of 2,044,299 people in Belgium.
Coffeehouses has an estimated audience of 2,044,299 people in Belgium. 58.9% are female, 41.1% are male, average age 44.1. Top brand affinities: Bistro, Brunch, Coffee culture, Radio 2, Sunday Brunch.
Top brand affinities include Bistro, Brunch, Coffee culture, with strongest over-indexing on Bistro (1.58× the country average).
Demographically, the Coffeehouses audience skews more female with an average age of 44.1, and over-indexes on personality traits such as Travelling, Pet Ownership.
The typical Coffeehouses fan in Belgium is more female, around 44.1 years old, with strong Travelling tendencies and a notable affinity for Bistro.
The key figures that characterise the Coffeehouses profile in Belgium.
58.9% are female, 41.1% are male, average age 44.1.
| Metric | Value |
|---|---|
| Female | 58.9% |
| Male | 41.1% |
| Average age | 44.1 |
| Estimated audience size | 2,044,299 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 9% | |
| 20-29 | 18% | |
| 30-39 | 18% | |
| 40-49 | 23% | |
| 50+ | 32% |
of the worldwide Coffeehouses audience comes from Belgium.
| Country | Share |
|---|---|
| United States | 17.9% |
| Japan | 5.8% |
| United Kingdom | 5.3% |
The strongest cross-interests of the Coffeehouses audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Busuu | Business & Career | 2.26× | ||
| 02 | La La Land (film) | Movies & TV | 2.03× | ||
| 03 | Lindsay Lohan | Movies & TV | 2.01× | ||
| 04 | Coffee culture | Food & Beverages | 1.81× | ||
| 05 | Pound cake | Food & Beverages | 1.79× | ||
| 06 | Buffet | Food & Beverages | 1.68× | ||
| 07 | Hangzhou | Travel & Leisure | 1.68× | ||
| 08 | Radio 2 | Music & Radio | 1.65× | ||
| 09 | Bistro | Food & Beverages | 1.58× | ||
| 10 | Flat white | Food & Beverages | 1.57× | ||
| 11 | Iced coffee | Food & Beverages | 1.56× | ||
| 12 | Eva Green | Movies & TV | 1.55× | ||
| 13 | Brunch | Food & Beverages | 1.54× | ||
| 14 | Charcuterie | Food & Beverages | 1.54× | ||
| 15 | Lucy (2014 film) | Movies & TV | 1.54× | ||
| 16 | Libelle | Pets & Animals | 1.53× | ||
| 17 | Sunday Brunch | Kids & Family | 1.52× | ||
| 18 | Daisy Duck | Movies & TV | 1.52× | ||
| 19 | Radio 1 | Music & Radio | 1.51× | ||
| 20 | Wine tasting descriptors | Food & Beverages | 1.51× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Travelling | THRILL | 1.07× | |
| Pet Ownership | JOY | 0.99× | |
| Early Adopter Mentality | POWER | 0.90× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Social Media Usage | JOY | 0.79× | |
| Patriotism | CONSERVATISM | 0.81× | |
| Early Adopter Mentality | POWER | 0.90× |
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in Belgium who actively search for Coffeehouses. 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 Belgium. 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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