A data profile of the people who buy, follow and care about Online shopping malls in United States — modelled from more than twelve digital signal sources. Online shopping malls has an estimated audience of 4,668,383 people in United States.
The average Online shopping malls fan in United States is 30.9 years old, more female, and lives primarily in Georgia.
The audience is concentrated in Georgia, California, Texas.
Top brand affinities include Loyalty program, Deal of the day, Groupon, with strongest over-indexing on Loyalty program (17.01× the country average).
Demographically, the Online shopping malls audience skews more female with an average age of 30.9, and over-indexes on personality traits such as Price Sensitivity, Design Affinity.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Online shopping malls fan in United States is more female, around 30.9 years old, with strong Price Sensitivity tendencies and a notable affinity for Loyalty program.
The key figures that characterise the Online shopping malls profile in United States.
72.1% are female, 27.9% are male, average age 30.9.
| Metric | Value |
|---|---|
| Female | 72.1% |
| Male | 27.9% |
| Average age | 30.9 |
| Estimated audience size | 4,668,383 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 42% | |
| 20-29 | 24% | |
| 30-39 | 14% | |
| 40-49 | 12% | |
| 50+ | 8% |
of the worldwide Online shopping malls audience comes from United States.
| Country | Share |
|---|---|
| United States | 9.4% |
| Japan | 7.6% |
| China | 7.3% |
Where the Online shopping malls audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Georgia | ~500K | 3.26× | |
| 02 | Alaska | ~10K | 1.17× | |
| 03 | Kansas | ~40K | 1.15× | |
| 04 | Rhode Island | ~20K | 1.12× | |
| 05 | North Dakota | ~10K | 1.11× | |
| 06 | South Dakota | ~10K | 1.09× | |
| 07 | New Hampshire | ~20K | 1.08× | |
| 08 | Hawaii | ~20K | 1.06× | |
| 09 | Delaware | ~10K | 1.06× | |
| 10 | West Virginia | ~20K | 1.05× | |
| 11 | Washington, District of Columbia | ~10K | 1.05× | |
| 12 | Montana | ~10K | 1.05× | |
| 13 | Maine | ~20K | 1.04× | |
| 14 | Kentucky | ~60K | 1.03× | |
| 15 | Idaho | ~20K | 1.03× | |
| 16 | Vermont | ~8K | 1.03× | |
| 17 | Mississippi | ~40K | 1.02× | |
| 18 | New Mexico | ~20K | 1.02× | |
| 19 | Nebraska | ~20K | 0.99× | |
| 20 | Connecticut | ~50K | 0.98× | |
| 21 | Arkansas | ~40K | 0.98× | |
| 22 | Iowa | ~40K | 0.98× | |
| 23 | New Jersey | ~100K | 0.97× | |
| 24 | Nevada | ~40K | 0.97× | |
| 25 | Louisiana | ~60K | 0.96× | |
| 26 | Oklahoma | ~50K | 0.96× | |
| 27 | Alabama | ~60K | 0.95× | |
| 28 | Utah | ~40K | 0.95× | |
| 29 | South Carolina | ~70K | 0.94× | |
| 30 | Oregon | ~50K | 0.93× | |
| 31 | Maryland | ~70K | 0.92× | |
| 32 | Tennessee | ~90K | 0.91× | |
| 33 | Missouri | ~70K | 0.91× | |
| 34 | Illinois | ~100K | 0.90× | |
| 35 | Arizona | ~90K | 0.90× | |
| 36 | Indiana | ~80K | 0.90× | |
| 37 | Pennsylvania | ~100K | 0.89× | |
| 38 | Michigan | ~100K | 0.89× | |
| 39 | Massachusetts | ~80K | 0.89× | |
| 40 | Colorado | ~70K | 0.89× | |
| 41 | Wisconsin | ~60K | 0.89× | |
| 42 | Minnesota | ~60K | 0.89× | |
| 43 | Ohio | ~100K | 0.86× | |
| 44 | North Carolina | ~100K | 0.85× | |
| 45 | Virginia | ~100K | 0.85× | |
| 46 | Washington | ~80K | 0.84× | |
| 47 | Florida | ~300K | 0.82× | |
| 48 | New York | ~200K | 0.80× | |
| 49 | Texas | ~300K | 0.78× | |
| 50 | California | ~300K | 0.67× |
The strongest cross-interests of the Online shopping malls audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Strapless dress | Fashion & Accessoires | 21.39× | ||
| 02 | Loyalty program | Shopping | 17.01× | ||
| 03 | Slim-fit pants | Fashion & Accessoires | 10.47× | ||
| 04 | Deal of the day | Shopping | 9.02× | ||
| 05 | Pandora | Fashion & Accessoires | 8.28× | ||
| 06 | Formal wear | Fashion & Accessoires | 6.11× | ||
| 07 | Groupon | Internet & Social Media | 5.71× | ||
| 08 | Family car | Cars & Mobility | 5.37× | ||
| 09 | Cyber Monday | Shopping | 5.03× | ||
| 10 | Millie Bobby Brown | Movies & TV | 4.59× | ||
| 11 | Natural skin care | Beauty & Wellness | 3.34× | ||
| 12 | Sunglasses | Fashion & Accessoires | 3.06× | ||
| 13 | Do it yourself (DIY) | Home & Garden | 3.05× | ||
| 14 | Black Friday (shopping) | Shopping | 2.83× | ||
| 15 | Harry Potter | Movies & TV | 2.26× | ||
| 16 | Superman | Movies & TV | 2.25× | ||
| 17 | Luxury goods | Fashion & Accessoires | 2.19× | ||
| 18 | TikTok | Internet & Social Media | 2.16× | ||
| 19 | Cosmetics | Beauty & Wellness | 1.76× | ||
| 20 | Shoes | Fashion & Accessoires | 1.58× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Price Sensitivity | PREMIUM | 2.46× | |
| Design Affinity | PREMIUM | 2.05× | |
| Luxury Orientation | PREMIUM | 2.04× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 0.70× | |
| Tradition | CONSERVATISM | 0.74× | |
| Need for Security | CONSERVATISM | 0.86× |
Online shopping malls has an estimated audience of 4,668,383 people in United States, concentrated in Georgia and California.
72.1% of Online shopping malls fans are female, 27.9% are male, with an average age of 30.9 years.
Online shopping malls fans show strongest brand affinity for Loyalty program (17.01×), Deal of the day (9.02×), and Groupon (5.71×) over the country average.
Online shopping malls fans in United States are most concentrated in Georgia (reach ~500K), California (reach ~300K), and Texas (reach ~300K). These three regions account for the largest share of the active audience.
Beyond Online shopping malls itself, the audience over-indexes on Deal of the day (9.02×), Groupon (5.71×), Do it yourself (DIY) (3.05×), and Cyber Monday (5.03×) compared to the United States average.
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in United States who actively search for Online shopping malls. 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 United States. 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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