A data profile of the people who buy, follow and care about Wine in Poland — modelled from more than twelve digital signal sources. Wine has an estimated audience of 5,624,348 people in Poland.
Wine has an estimated audience of 5,624,348 people in Poland. 59.1% are female, 40.9% are male, average age 41.1. Top brand affinities: Office 365, Gmail, Super Express, Holiday cottage, Tablecloth.
Top brand affinities include Office 365, Gmail, Super Express, with strongest over-indexing on Office 365 (2.15× the country average).
Demographically, the Wine audience skews more female with an average age of 41.1, and over-indexes on personality traits such as Individualism, Price Sensitivity.
The typical Wine fan in Poland is more female, around 41.1 years old, with strong Individualism tendencies and a notable affinity for Office 365.
The key figures that characterise the Wine profile in Poland.
59.1% are female, 40.9% are male, average age 41.1.
| Metric | Value |
|---|---|
| Female | 59.1% |
| Male | 40.9% |
| Average age | 41.1 |
| Estimated audience size | 5,624,348 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 13% | |
| 20-29 | 20% | |
| 30-39 | 22% | |
| 40-49 | 21% | |
| 50+ | 23% |
of the worldwide Wine audience comes from Poland.
| Country | Share |
|---|---|
| United States | 22.0% |
| Italy | 6.3% |
| United Kingdom | 5.1% |
The strongest cross-interests of the Wine audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Mahjong | Games | 2.31× | ||
| 02 | Macaulay Culkin | Movies & TV | 2.21× | ||
| 03 | Office 365 | Technology & Electronics | 2.15× | ||
| 04 | Microsoft Teams | Technology & Electronics | 2.15× | ||
| 05 | Tablecloth | Home & Garden | 2.11× | ||
| 06 | Epilator | Beauty & Wellness | 1.95× | ||
| 07 | Ursula von der Leyen | Politics & Society | 1.93× | ||
| 08 | Anna Jantar | Music & Radio | 1.88× | ||
| 09 | Demi Moore | Movies & TV | 1.85× | ||
| 10 | Magnolia (film) | Movies & TV | 1.81× | ||
| 11 | Marek Kondrat | Movies & TV | 1.71× | ||
| 12 | Daniel Olbrychski | Movies & TV | 1.70× | ||
| 13 | GitHub | Internet & Social Media | 1.63× | ||
| 14 | Holiday cottage | Travel & Leisure | 1.61× | ||
| 15 | Bonprix | Shopping | 1.60× | ||
| 16 | Vendor | Business & Career | 1.59× | ||
| 17 | Google Drive | Technology & Electronics | 1.58× | ||
| 18 | Plus-size clothing | Fashion & Accessoires | 1.54× | ||
| 19 | Super Express | News | 1.53× | ||
| 20 | Gmail | Internet & Social Media | 1.52× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Individualism | JOY | 1.36× | |
| Price Sensitivity | PREMIUM | 1.29× | |
| Quality Awareness | PREMIUM | 1.05× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Healthy Lifestyle | BALANCE | 0.54× | |
| Patriotism | CONSERVATISM | 0.54× | |
| Travelling | THRILL | 0.63× |
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in Poland who actively search for Wine. 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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