A data profile of the people who buy, follow and care about Online shopping in India — modelled from more than twelve digital signal sources. Online shopping has an estimated audience of 41,670,383 people in India.
The average Online shopping fan in India is 31.9 years old, more male, and lives primarily in Uttar Pradesh.
The audience is concentrated in Uttar Pradesh, Maharashtra, Gujarat.
Top brand affinities include Shopping, Virtual private network, Bank of India, with strongest over-indexing on Shopping (1.55× the country average).
Demographically, the Online shopping audience skews more male with an average age of 31.9, 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 Online shopping fan in India is more male, around 31.9 years old, with strong Price Sensitivity tendencies and a notable affinity for Shopping.
The key figures that characterise the Online shopping profile in India.
27.3% are female, 72.7% are male, average age 31.9.
| Metric | Value |
|---|---|
| Female | 27.3% |
| Male | 72.7% |
| Average age | 31.9 |
| Estimated audience size | 41,670,383 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 34% | |
| 20-29 | 29% | |
| 30-39 | 18% | |
| 40-49 | 11% | |
| 50+ | 8% |
of the worldwide Online shopping audience comes from India.
| Country | Share |
|---|---|
| United States | 20.1% |
| Japan | 5.6% |
| India | 5.5% |
Where the Online shopping audience in India is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Sikkim | ~30K | 1.47× | |
| 02 | Meghalaya | ~60K | 1.40× | |
| 03 | Chhattisgarh | ~400K | 1.33× | |
| 04 | Madhya Pradesh | ~1M | 1.28× | |
| 05 | Himachal Pradesh | ~200K | 1.22× | |
| 06 | Nagaland | ~30K | 1.17× | |
| 07 | Rajasthan | ~1M | 1.14× | |
| 08 | Gujarat | ~1.5M | 1.13× | |
| 09 | Mizoram | ~30K | 1.12× | |
| 10 | Tamil Nadu | ~1M | 1.04× | |
| 11 | Punjab (region) | ~600K | 1.04× | |
| 12 | Jharkhand | ~400K | 1.03× | |
| 13 | Tripura | ~60K | 0.98× | |
| 14 | Uttar Pradesh | ~2M | 0.97× | |
| 15 | Goa | ~40K | 0.97× | |
| 16 | Maharashtra | ~2M | 0.96× | |
| 17 | Assam | ~400K | 0.93× | |
| 18 | Manipur | ~50K | 0.93× | |
| 19 | Bihar | ~700K | 0.90× | |
| 20 | Haryana | ~500K | 0.88× | |
| 21 | Andhra Pradesh | ~400K | 0.84× | |
| 22 | Uttarakhand | ~200K | 0.83× | |
| 23 | Telangana | ~500K | 0.82× | |
| 24 | Arunachal Pradesh | ~20K | 0.82× | |
| 25 | Jammu and Kashmir | ~100K | 0.77× | |
| 26 | Odisha | ~300K | 0.76× | |
| 27 | Karnataka | ~800K | 0.73× | |
| 28 | West Bengal | ~800K | 0.65× | |
| 29 | Kerala | ~400K | 0.65× |
The strongest cross-interests of the Online shopping audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Country Inns & Suites | Travel & Leisure | 1.73× | ||
| 02 | Zimmermann | Home & Garden | 1.69× | ||
| 03 | Stayfree | Beauty & Wellness | 1.65× | ||
| 04 | Commercial bank | Business & Career | 1.60× | ||
| 05 | Bank of India | Business & Career | 1.58× | ||
| 06 | ShopSavvy | Website / Newspaper / Magazine | 1.57× | ||
| 07 | Industrial technology | Topic | 1.56× | ||
| 08 | Shopping | Shopping | 1.55× | ||
| 09 | Virtual private network | Technology & Electronics | 1.55× | ||
| 10 | Monarch | Politics & Society | 1.55× | ||
| 11 | Priests | Music & Radio | 1.55× | ||
| 12 | Royal Stag | Food & Beverages | 1.53× | ||
| 13 | Bank of Taiwan | Business & Career | 1.53× | ||
| 14 | Purple.com | Internet & Social Media | 1.52× | ||
| 15 | Hardcore Pawn | Movies & TV | 1.52× | ||
| 16 | Pernod Ricard | Food & Beverages | 1.51× | ||
| 17 | Family Matters | Movies & TV | 1.51× | ||
| 18 | National Careers Service | Business & Career | 1.51× | ||
| 19 | Morphy Richards | Technology & Electronics | 1.50× | ||
| 20 | Kiev | Travel & Leisure | 1.50× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Price Sensitivity | PREMIUM | 1.02× | |
| Community Orientation | OPEN | 0.97× | |
| DIY Mentality | THRILL | 0.92× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Spirituality | BALANCE | 0.65× | |
| Urban Lifestyle | OPEN | 0.65× | |
| Healthy Lifestyle | BALANCE | 0.68× |
Online shopping has an estimated audience of 41,670,383 people in India, concentrated in Uttar Pradesh and Maharashtra.
27.3% of Online shopping fans are female, 72.7% are male, with an average age of 31.9 years.
Online shopping fans show strongest brand affinity for Shopping (1.55×), Virtual private network (1.55×), and Bank of India (1.58×) over the country average.
Online shopping fans in India are most concentrated in Uttar Pradesh (reach ~2M), Maharashtra (reach ~2M), and Gujarat (reach ~1.5M). These three regions account for the largest share of the active audience.
Beyond Online shopping itself, the audience over-indexes on Virtual private network (1.55×), Bank of India (1.58×), Commercial bank (1.6×), and Royal Stag (1.53×) 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 Online 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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