A data profile of the people who buy, follow and care about Shopping in India — modelled from more than twelve digital signal sources. Shopping has an estimated audience of 44,878,526 people in India.
The average Shopping fan in India is 32.1 years old, more male, and lives primarily in Uttar Pradesh.
The audience is concentrated in Uttar Pradesh, Maharashtra, West Bengal.
Top brand affinities include Bhojpuri language, Virtual private network, Bank of India, with strongest over-indexing on Bhojpuri language (1.52× the country average).
Demographically, the Shopping audience skews more male with an average age of 32.1, and over-indexes on personality traits such as Price Sensitivity, Community Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 29 regions tracked by Rascasse.
The typical Shopping fan in India is more male, around 32.1 years old, with strong Price Sensitivity tendencies and a notable affinity for Bhojpuri language.
The key figures that characterise the Shopping profile in India.
27.2% are female, 72.8% are male, average age 32.1.
| Metric | Value |
|---|---|
| Female | 27.2% |
| Male | 72.8% |
| Average age | 32.1 |
| Estimated audience size | 44,878,526 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 34% | |
| 20-29 | 29% | |
| 30-39 | 18% | |
| 40-49 | 11% | |
| 50+ | 8% |
of the worldwide Shopping audience comes from India.
| Country | Share |
|---|---|
| United States | 21.8% |
| Japan | 7.1% |
| India | 5.9% |
Where the Shopping audience in India is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Bihar | ~1.5M | 1.68× | |
| 02 | West Bengal | ~2M | 1.28× | |
| 03 | Goa | ~60K | 1.27× | |
| 04 | Uttar Pradesh | ~2.5M | 1.22× | |
| 05 | Andhra Pradesh | ~700K | 1.20× | |
| 06 | Jharkhand | ~500K | 1.18× | |
| 07 | Madhya Pradesh | ~1M | 1.15× | |
| 08 | Maharashtra | ~2.5M | 1.08× | |
| 09 | Gujarat | ~1.5M | 1.08× | |
| 10 | Assam | ~500K | 1.08× | |
| 11 | Rajasthan | ~1M | 1.04× | |
| 12 | Telangana | ~700K | 1.03× | |
| 13 | Karnataka | ~1M | 1.02× | |
| 14 | Chhattisgarh | ~300K | 1.01× | |
| 15 | Haryana | ~600K | 1.00× | |
| 16 | Punjab (region) | ~600K | 0.98× | |
| 17 | Uttarakhand | ~200K | 0.97× | |
| 18 | Tamil Nadu | ~1M | 0.96× | |
| 19 | Odisha | ~400K | 0.93× | |
| 20 | Tripura | ~60K | 0.91× | |
| 21 | Himachal Pradesh | ~200K | 0.90× | |
| 22 | Nagaland | ~30K | 0.86× | |
| 23 | Meghalaya | ~40K | 0.85× | |
| 24 | Manipur | ~50K | 0.84× | |
| 25 | Arunachal Pradesh | ~20K | 0.83× | |
| 26 | Jammu and Kashmir | ~200K | 0.82× | |
| 27 | Sikkim | ~20K | 0.82× | |
| 28 | Kerala | ~500K | 0.77× | |
| 29 | Mizoram | ~20K | 0.76× |
The strongest cross-interests of the Shopping audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Family Matters | Movies & TV | 1.68× | ||
| 02 | Dan Henderson | Sports | 1.68× | ||
| 03 | Country Inns & Suites | Travel & Leisure | 1.65× | ||
| 04 | Monarch | Politics & Society | 1.64× | ||
| 05 | Pernod Ricard | Food & Beverages | 1.62× | ||
| 06 | Morphy Richards | Technology & Electronics | 1.61× | ||
| 07 | Priests | Music & Radio | 1.61× | ||
| 08 | Commercial bank | Business & Career | 1.59× | ||
| 09 | Virtual private network | Technology & Electronics | 1.58× | ||
| 10 | Bank of India | Business & Career | 1.57× | ||
| 11 | Stayfree | Beauty & Wellness | 1.56× | ||
| 12 | Saving Mr. Banks | Movies & TV | 1.55× | ||
| 13 | Hardcore Pawn | Movies & TV | 1.54× | ||
| 14 | Zimmermann | Home & Garden | 1.53× | ||
| 15 | Miramax | Movies & TV | 1.53× | ||
| 16 | Stamford International University (Thailand) | Business & Career | 1.53× | ||
| 17 | Bhojpuri language | Politics & Society | 1.52× | ||
| 18 | Kiev | Travel & Leisure | 1.52× | ||
| 19 | Industrial technology | Topic | 1.51× | ||
| 20 | Royal Stag | Food & Beverages | 1.50× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Price Sensitivity | PREMIUM | 0.98× | |
| Community Orientation | OPEN | 0.96× | |
| DIY Mentality | THRILL | 0.91× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Urban Lifestyle | OPEN | 0.63× | |
| Spirituality | BALANCE | 0.65× | |
| Healthy Lifestyle | BALANCE | 0.67× |
Shopping has an estimated audience of 44,878,526 people in India, concentrated in Uttar Pradesh and Maharashtra.
27.2% of Shopping fans are female, 72.8% are male, with an average age of 32.1 years.
Shopping fans show strongest brand affinity for Bhojpuri language (1.52×), Virtual private network (1.58×), and Bank of India (1.57×) over the country average.
Shopping fans in India are most concentrated in Uttar Pradesh (reach ~2.5M), Maharashtra (reach ~2.5M), and West Bengal (reach ~2M). These three regions account for the largest share of the active audience.
Beyond Shopping itself, the audience over-indexes on Virtual private network (1.58×), Bank of India (1.57×), Commercial bank (1.59×), and Pernod Ricard (1.62×) compared to the India average.
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in India who actively search for Shopping. 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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