A data profile of the people who buy, follow and care about Lotte Mart in United States — modelled from more than twelve digital signal sources. Lotte Mart has an estimated audience of 283,608 people in United States.
The average Lotte Mart fan in United States is 30.8 years old, more female, and lives primarily in Florida.
The audience is concentrated in Florida, Virginia, Maryland.
Top brand affinities include Tunic, Halloween Horror Nights, Scarf, with strongest over-indexing on Tunic (92.68× the country average).
Demographically, the Lotte Mart audience skews more female with an average age of 30.8, and over-indexes on personality traits such as Community Orientation, Luxury Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Lotte Mart fan in United States is more female, around 30.8 years old, with strong Community Orientation tendencies and a notable affinity for Tunic.
The key figures that characterise the Lotte Mart profile in United States.
61.5% are female, 38.5% are male, average age 30.8.
| Metric | Value |
|---|---|
| Female | 61.5% |
| Male | 38.5% |
| Average age | 30.8 |
| Estimated audience size | 283,608 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 45% | |
| 20-29 | 20% | |
| 30-39 | 13% | |
| 40-49 | 15% | |
| 50+ | 7% |
of the worldwide Lotte Mart audience comes from United States.
| Country | Share |
|---|---|
| Indonesia | 60.5% |
| United States | 17.3% |
| South Korea | 11.4% |
Where the Lotte Mart audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Virginia | ~100K | 15.25× | |
| 02 | Florida | ~200K | 12.36× | |
| 03 | Maryland | ~40K | 7.42× | |
| 04 | Washington, District of Columbia | ~3K | 2.90× | |
| 05 | New Jersey | ~20K | 2.68× | |
| 06 | Michigan | ~20K | 2.13× | |
| 07 | Georgia | ~10K | 1.07× | |
| 08 | Oklahoma | ~3K | 0.93× | |
| 09 | Alaska | <1K | 0.93× | |
| 10 | Vermont | <1K | 0.93× | |
| 11 | New Mexico | ~1K | 0.91× | |
| 12 | New Hampshire | ~1K | 0.91× | |
| 13 | Maine | <1K | 0.91× | |
| 14 | Rhode Island | <1K | 0.91× | |
| 15 | Idaho | ~1K | 0.90× | |
| 16 | Iowa | ~2K | 0.88× | |
| 17 | Kansas | ~2K | 0.88× | |
| 18 | North Dakota | <1K | 0.87× | |
| 19 | Utah | ~2K | 0.86× | |
| 20 | West Virginia | ~1K | 0.86× | |
| 21 | South Dakota | <1K | 0.86× | |
| 22 | Montana | <1K | 0.85× | |
| 23 | Hawaii | ~1K | 0.83× | |
| 24 | Delaware | <1K | 0.83× | |
| 25 | Nebraska | ~1K | 0.82× | |
| 26 | Missouri | ~4K | 0.80× | |
| 27 | Arkansas | ~2K | 0.78× | |
| 28 | Mississippi | ~2K | 0.78× | |
| 29 | Alabama | ~3K | 0.73× | |
| 30 | South Carolina | ~3K | 0.72× | |
| 31 | Tennessee | ~4K | 0.70× | |
| 32 | Indiana | ~4K | 0.70× | |
| 33 | Colorado | ~3K | 0.69× | |
| 34 | Louisiana | ~3K | 0.68× | |
| 35 | Wisconsin | ~3K | 0.65× | |
| 36 | Kentucky | ~2K | 0.65× | |
| 37 | Connecticut | ~2K | 0.65× | |
| 38 | Nevada | ~2K | 0.64× | |
| 39 | Oregon | ~2K | 0.63× | |
| 40 | Massachusetts | ~3K | 0.60× | |
| 41 | Minnesota | ~3K | 0.60× | |
| 42 | California | ~20K | 0.56× | |
| 43 | Washington | ~3K | 0.56× | |
| 44 | North Carolina | ~5K | 0.54× | |
| 45 | Pennsylvania | ~5K | 0.53× | |
| 46 | Illinois | ~5K | 0.53× | |
| 47 | Ohio | ~5K | 0.53× | |
| 48 | Arizona | ~3K | 0.53× | |
| 49 | New York | ~7K | 0.44× | |
| 50 | Texas | ~9K | 0.37× |
The strongest cross-interests of the Lotte Mart audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Tunic | Fashion & Accessoires | 92.68× | ||
| 02 | Carlos Sainz | Sports | 35.19× | ||
| 03 | Solidarity | Politics & Society | 34.51× | ||
| 04 | Kuala Lumpur | Travel & Leisure | 32.86× | ||
| 05 | Halloween Horror Nights | Movies & TV | 29.83× | ||
| 06 | Taobao | Shopping | 25.20× | ||
| 07 | Baby toys | Kids & Family | 23.15× | ||
| 08 | Shawl | Fashion & Accessoires | 20.96× | ||
| 09 | Scarf | Fashion & Accessoires | 19.91× | ||
| 10 | Charles Leclerc | Sports | 16.76× | ||
| 11 | Alexandra Daddario | Movies & TV | 14.70× | ||
| 12 | Thai cuisine | Food & Beverages | 13.55× | ||
| 13 | Marvel Cinematic Universe | Movies & TV | 13.06× | ||
| 14 | Caffeine | Food & Beverages | 12.83× | ||
| 15 | Malaysia | Travel & Leisure | 11.48× | ||
| 16 | Grocery store | Food & Beverages | 6.67× | ||
| 17 | Expedia | Travel & Leisure | 6.57× | ||
| 18 | Hat | Fashion & Accessoires | 6.20× | ||
| 19 | Cookbook | Food & Beverages | 6.09× | ||
| 20 | Trousers | Fashion & Accessoires | 4.45× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Community Orientation | OPEN | 1.57× | |
| Luxury Orientation | PREMIUM | 1.52× | |
| Mindfulness | BALANCE | 1.40× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Extroversion | THRILL | 0.73× | |
| Need for Security | CONSERVATISM | 0.82× | |
| Early Adopter Mentality | POWER | 0.89× |
Lotte Mart's target market in United States covers an estimated 283,608 people, concentrated in Florida and Virginia.
61.5% of the Lotte Mart audience are female, 38.5% are male, with an average age of 30.8 years.
Lotte Mart fans show strongest brand affinity for Tunic (92.68×), Halloween Horror Nights (29.83×), and Scarf (19.91×) over the country average.
Lotte Mart fans in United States are most concentrated in Florida (reach ~200K), Virginia (reach ~100K), and Maryland (reach ~40K). These three regions account for the largest share of the active audience.
Beyond Lotte Mart itself, the audience over-indexes on Halloween Horror Nights (29.83×), Scarf (19.91×), Kuala Lumpur (32.86×), and Baby toys (23.15×) 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 Lotte Mart. 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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