A data profile of the people who buy, follow and care about Alcoholic beverages in Poland — modelled from more than twelve digital signal sources. Alcoholic beverages has an estimated audience of 8,131,891 people in Poland.
Alcoholic beverages has an estimated audience of 8,131,891 people in Poland. 54.0% are female, 46.0% are male, average age 39.9. Top brand affinities: Office 365, Chopin (vodka), Epilator, Child development, Tablecloth.
Top brand affinities include Office 365, Chopin (vodka), Epilator, with strongest over-indexing on Office 365 (1.93× the country average).
Demographically, the Alcoholic beverages audience skews balanced with an average age of 39.9, and over-indexes on personality traits such as Price Sensitivity, Individualism.
The typical Alcoholic beverages fan in Poland is balanced, around 39.9 years old, with strong Price Sensitivity tendencies and a notable affinity for Office 365.
The key figures that characterise the Alcoholic beverages profile in Poland.
54.0% are female, 46.0% are male, average age 39.9.
| Metric | Value |
|---|---|
| Female | 54.0% |
| Male | 46.0% |
| Average age | 39.9 |
| Estimated audience size | 8,131,891 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 15% | |
| 20-29 | 22% | |
| 30-39 | 24% | |
| 40-49 | 20% | |
| 50+ | 20% |
of the worldwide Alcoholic beverages audience comes from Poland.
| Country | Share |
|---|---|
| United States | 21.0% |
| Japan | 6.1% |
| Italy | 5.4% |
The strongest cross-interests of the Alcoholic beverages audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Epilator | Beauty & Wellness | 2.19× | ||
| 02 | Mahjong | Games | 2.16× | ||
| 03 | Chopin (vodka) | Food & Beverages | 2.11× | ||
| 04 | Macaulay Culkin | Movies & TV | 2.05× | ||
| 05 | Office 365 | Technology & Electronics | 1.93× | ||
| 06 | Microsoft Teams | Technology & Electronics | 1.93× | ||
| 07 | Tablecloth | Home & Garden | 1.88× | ||
| 08 | Ranch | Travel & Leisure | 1.77× | ||
| 09 | Demi Moore | Movies & TV | 1.71× | ||
| 10 | Superman (TV series) | Movies & TV | 1.69× | ||
| 11 | Magnolia (film) | Movies & TV | 1.67× | ||
| 12 | Anna Jantar | Music & Radio | 1.64× | ||
| 13 | Liam Neeson | Movies & TV | 1.64× | ||
| 14 | Ursula von der Leyen | Politics & Society | 1.63× | ||
| 15 | Marek Kondrat | Movies & TV | 1.54× | ||
| 16 | Child development | Business & Career | 1.53× | ||
| 17 | Sugarcane | Food & Beverages | 1.53× | ||
| 18 | Highball | Food & Beverages | 1.53× | ||
| 19 | Bonprix | Shopping | 1.52× | ||
| 20 | GitHub | Internet & Social Media | 1.51× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Price Sensitivity | PREMIUM | 1.23× | |
| Individualism | JOY | 1.15× | |
| Quality Awareness | PREMIUM | 0.97× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Healthy Lifestyle | BALANCE | 0.53× | |
| Patriotism | CONSERVATISM | 0.53× | |
| Travelling | THRILL | 0.58× |
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in Poland who actively search for Alcoholic beverages. 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 Poland. 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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