A data profile of the people who buy, follow and care about Villa in India — modelled from more than twelve digital signal sources. Villa has an estimated audience of 4,435,025 people in India.
Villa has an estimated audience of 4,435,025 people in India. 23.9% are female, 76.1% are male, average age 39.4. Top brand affinities: Real property, Apartment, Bungalow, Renovation, Lodging.
Top brand affinities include Real property, Apartment, Bungalow, with strongest over-indexing on Real property (3.86× the country average).
Demographically, the Villa audience skews more male with an average age of 39.4, and over-indexes on personality traits such as Convenience Orientation, Quality Awareness.
The typical Villa fan in India is more male, around 39.4 years old, with strong Convenience Orientation tendencies and a notable affinity for Real property.
The key figures that characterise the Villa profile in India.
23.9% are female, 76.1% are male, average age 39.4.
| Metric | Value |
|---|---|
| Female | 23.9% |
| Male | 76.1% |
| Average age | 39.4 |
| Estimated audience size | 4,435,025 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 12% | |
| 20-29 | 27% | |
| 30-39 | 24% | |
| 40-49 | 19% | |
| 50+ | 18% |
of the worldwide Villa audience comes from India.
| Country | Share |
|---|---|
| United States | 9.7% |
| Italy | 7.9% |
| Germany | 4.1% |
The strongest cross-interests of the Villa audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Terraced house | Home & Garden | 6.37× | ||
| 02 | Bungalow | Home & Garden | 5.78× | ||
| 03 | The Sopranos | Movies & TV | 5.40× | ||
| 04 | Real property | Home & Garden | 3.86× | ||
| 05 | Squash (sport) | Sports | 3.25× | ||
| 06 | Lodging | Travel & Leisure | 2.95× | ||
| 07 | Renovation | Home & Garden | 2.74× | ||
| 08 | OLX | Shopping | 2.73× | ||
| 09 | First-time buyer | Shopping | 2.44× | ||
| 10 | Apartment | Business & Career | 2.28× | ||
| 11 | Cabinetry | Home & Garden | 2.28× | ||
| 12 | Young's | Food & Beverages | 2.22× | ||
| 13 | Passive income | Business & Career | 1.94× | ||
| 14 | TripAdvisor | Travel & Leisure | 1.86× | ||
| 15 | Volunteering | Politics & Society | 1.72× | ||
| 16 | Himalayas | Travel & Leisure | 1.71× | ||
| 17 | Vacations | Travel & Leisure | 1.66× | ||
| 18 | Business class | Travel & Leisure | 1.60× | ||
| 19 | Instant messaging | Internet & Social Media | 1.56× | ||
| 20 | Spas | Beauty & Wellness | 1.53× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Convenience Orientation | PREMIUM | 2.23× | |
| Quality Awareness | PREMIUM | 2.16× | |
| Career Orientation | POWER | 2.12× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Social Media Usage | JOY | 0.63× | |
| Creativity | OPEN | 0.70× | |
| Price Sensitivity | PREMIUM | 0.71× |
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in India who actively search for Villa. 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 India. 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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