A data profile of the people who buy, follow and care about Fruit in India — modelled from more than twelve digital signal sources. Fruit has an estimated audience of 11,778,409 people in India.
Fruit has an estimated audience of 11,778,409 people in India. 31.7% are female, 68.3% are male, average age 33.7. Top brand affinities: Vegetable, Meat, Videography, Salad, Seafood.
Top brand affinities include Vegetable, Meat, Videography, with strongest over-indexing on Vegetable (2.98× the country average).
Demographically, the Fruit audience skews more male with an average age of 33.7, and over-indexes on personality traits such as Early Adopter Mentality, Convenience Orientation.
The typical Fruit fan in India is more male, around 33.7 years old, with strong Early Adopter Mentality tendencies and a notable affinity for Vegetable.
The key figures that characterise the Fruit profile in India.
31.7% are female, 68.3% are male, average age 33.7.
| Metric | Value |
|---|---|
| Female | 31.7% |
| Male | 68.3% |
| Average age | 33.7 |
| Estimated audience size | 11,778,409 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 28% | |
| 20-29 | 30% | |
| 30-39 | 20% | |
| 40-49 | 13% | |
| 50+ | 10% |
of the worldwide Fruit audience comes from India.
| Country | Share |
|---|---|
| United States | 19.5% |
| Japan | 5.8% |
| United Kingdom | 4.5% |
The strongest cross-interests of the Fruit audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Fruits Basket | Literature | 4.56× | ||
| 02 | Salad | Food & Beverages | 3.97× | ||
| 03 | Dried fruit | Food & Beverages | 3.43× | ||
| 04 | Vegetable | Food & Beverages | 2.98× | ||
| 05 | Seafood | Food & Beverages | 2.22× | ||
| 06 | Videography | Internet & Social Media | 2.16× | ||
| 07 | Blender | Home & Garden | 2.14× | ||
| 08 | Meat | Food & Beverages | 2.12× | ||
| 09 | One Piece | Movies & TV | 2.09× | ||
| 10 | Korean drama | Movies & TV | 2.00× | ||
| 11 | Real property | Home & Garden | 1.88× | ||
| 12 | Cheese | Food & Beverages | 1.86× | ||
| 13 | Lunch | Food & Beverages | 1.80× | ||
| 14 | Pastry | Food & Beverages | 1.80× | ||
| 15 | Cabinetry | Home & Garden | 1.79× | ||
| 16 | Food processing | Food & Beverages | 1.71× | ||
| 17 | Breakfast | Food & Beverages | 1.68× | ||
| 18 | Crystal | Fashion & Accessoires | 1.68× | ||
| 19 | Candy | Food & Beverages | 1.57× | ||
| 20 | Pizza | Food & Beverages | 1.52× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Early Adopter Mentality | POWER | 1.22× | |
| Convenience Orientation | PREMIUM | 1.22× | |
| Quality Awareness | PREMIUM | 1.21× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Social Media Usage | JOY | 0.69× | |
| Price Sensitivity | PREMIUM | 0.77× | |
| Creativity | OPEN | 0.83× |
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in India who actively search for Fruit. 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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