A data profile of the people who buy, follow and care about Payment in India — modelled from more than twelve digital signal sources. Payment has an estimated audience of 7,399,423 people in India.
Payment has an estimated audience of 7,399,423 people in India. 24.4% are female, 75.6% are male, average age 31.5. Top brand affinities: Salman Khan, True Detective, Bank account, Rohit Sharma, Rummy.
Top brand affinities include Salman Khan, True Detective, Bank account, with strongest over-indexing on Salman Khan (1.95× the country average).
Demographically, the Payment audience skews more male with an average age of 31.5, and over-indexes on personality traits such as Convenience Orientation, Need for Security.
The typical Payment fan in India is more male, around 31.5 years old, with strong Convenience Orientation tendencies and a notable affinity for Salman Khan.
The key figures that characterise the Payment profile in India.
24.4% are female, 75.6% are male, average age 31.5.
| Metric | Value |
|---|---|
| Female | 24.4% |
| Male | 75.6% |
| Average age | 31.5 |
| Estimated audience size | 7,399,423 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 32% | |
| 20-29 | 33% | |
| 30-39 | 21% | |
| 40-49 | 9% | |
| 50+ | 6% |
of the worldwide Payment audience comes from India.
| Country | Share |
|---|---|
| United States | 19.0% |
| India | 7.5% |
| United Kingdom | 6.2% |
The strongest cross-interests of the Payment audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Bank account | Business & Career | 3.91× | ||
| 02 | Mobile payment | Business & Career | 2.64× | ||
| 03 | Fairy tale | Literature | 2.34× | ||
| 04 | Credit (finance) | Business & Career | 2.24× | ||
| 05 | Debit card | Business & Career | 2.19× | ||
| 06 | True Detective | Movies & TV | 2.17× | ||
| 07 | Salman Khan | Movies & TV | 1.95× | ||
| 08 | Real property | Home & Garden | 1.91× | ||
| 09 | Retail banking | Business & Career | 1.90× | ||
| 10 | OLX | Shopping | 1.88× | ||
| 11 | Big Bash League | Sports | 1.57× | ||
| 12 | Akshay Kumar | Movies & TV | 1.55× | ||
| 13 | Ranveer Singh | Movies & TV | 1.54× | ||
| 14 | OnePlus | Technology & Electronics | 1.54× | ||
| 15 | Shah Rukh Khan | Movies & TV | 1.52× | ||
| 16 | Rummy | Games | 1.51× | ||
| 17 | Innovation | Business & Career | 1.51× | ||
| 18 | Online banking | Business & Career | 1.51× | ||
| 19 | Alia Bhatt | Movies & TV | 1.51× | ||
| 20 | Rohit Sharma | Sports | 1.50× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Convenience Orientation | PREMIUM | 1.53× | |
| Need for Security | CONSERVATISM | 1.38× | |
| Quality Awareness | PREMIUM | 1.37× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Creativity | OPEN | 0.78× | |
| Community Orientation | OPEN | 0.81× | |
| Price Sensitivity | PREMIUM | 0.82× |
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in India who actively search for Payment. 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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