A data profile of the people who buy, follow and care about Why Did I Get Married Too? in United States — modelled from more than twelve digital signal sources. Why Did I Get Married Too? has an estimated audience of 325,449 people in United States.
The average Why Did I Get Married Too? fan in United States is 37.2 years old, balanced, and lives primarily in Texas.
The audience is concentrated in Texas, California, Florida.
Top brand affinities include Peter Thiel, Monsters, Megamind, with strongest over-indexing on Peter Thiel (20× the country average).
Demographically, the Why Did I Get Married Too? audience skews balanced with an average age of 37.2, and over-indexes on personality traits such as Convenience Orientation, Family Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Why Did I Get Married Too? fan in United States is balanced, around 37.2 years old, with strong Convenience Orientation tendencies and a notable affinity for Peter Thiel.
The key figures that characterise the Why Did I Get Married Too? profile in United States.
47.6% are female, 52.4% are male, average age 37.2.
| Metric | Value |
|---|---|
| Female | 47.6% |
| Male | 52.4% |
| Average age | 37.2 |
| Estimated audience size | 325,449 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 21% | |
| 20-29 | 23% | |
| 30-39 | 24% | |
| 40-49 | 17% | |
| 50+ | 15% |
of the worldwide Why Did I Get Married Too? audience comes from United States.
| Country | Share |
|---|---|
| United States | 61.8% |
| United Kingdom | 6.5% |
| Germany | 5.0% |
Where the Why Did I Get Married Too? audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Mississippi | ~7K | 2.30× | |
| 02 | Alabama | ~10K | 2.03× | |
| 03 | Louisiana | ~9K | 2.03× | |
| 04 | Georgia | ~20K | 1.98× | |
| 05 | Maryland | ~10K | 1.64× | |
| 06 | South Carolina | ~8K | 1.52× | |
| 07 | North Carolina | ~20K | 1.48× | |
| 08 | Texas | ~40K | 1.40× | |
| 09 | Arkansas | ~4K | 1.38× | |
| 10 | Tennessee | ~9K | 1.32× | |
| 11 | Delaware | ~1K | 1.30× | |
| 12 | New Mexico | ~2K | 1.20× | |
| 13 | Virginia | ~10K | 1.19× | |
| 14 | Washington, District of Columbia | ~1K | 1.19× | |
| 15 | Arizona | ~8K | 1.13× | |
| 16 | Michigan | ~10K | 1.12× | |
| 17 | Oklahoma | ~4K | 1.11× | |
| 18 | Illinois | ~10K | 1.07× | |
| 19 | Missouri | ~6K | 1.06× | |
| 20 | Kentucky | ~5K | 1.04× | |
| 21 | Nevada | ~4K | 1.04× | |
| 22 | Florida | ~20K | 1.03× | |
| 23 | Indiana | ~7K | 1.02× | |
| 24 | Ohio | ~10K | 1.01× | |
| 25 | New York | ~20K | 0.96× | |
| 26 | Pennsylvania | ~10K | 0.96× | |
| 27 | Connecticut | ~3K | 0.95× | |
| 28 | New Jersey | ~8K | 0.94× | |
| 29 | Kansas | ~3K | 0.92× | |
| 30 | Alaska | <1K | 0.91× | |
| 31 | California | ~40K | 0.90× | |
| 32 | Hawaii | ~1K | 0.88× | |
| 33 | West Virginia | ~1K | 0.86× | |
| 34 | North Dakota | <1K | 0.82× | |
| 35 | Vermont | <1K | 0.82× | |
| 36 | Rhode Island | <1K | 0.81× | |
| 37 | South Dakota | <1K | 0.81× | |
| 38 | Wisconsin | ~4K | 0.80× | |
| 39 | Nebraska | ~1K | 0.77× | |
| 40 | Montana | <1K | 0.76× | |
| 41 | Iowa | ~2K | 0.72× | |
| 42 | New Hampshire | <1K | 0.70× | |
| 43 | Maine | <1K | 0.70× | |
| 44 | Idaho | ~1K | 0.69× | |
| 45 | Colorado | ~4K | 0.68× | |
| 46 | Minnesota | ~3K | 0.68× | |
| 47 | Massachusetts | ~5K | 0.66× | |
| 48 | Washington | ~5K | 0.64× | |
| 49 | Utah | ~2K | 0.60× | |
| 50 | Oregon | ~2K | 0.59× |
The strongest cross-interests of the Why Did I Get Married Too? audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Storage Wars | Movies & TV | 32.13× | ||
| 02 | Bounce TV | Movies & TV | 28.92× | ||
| 03 | Outkast | Music & Radio | 24.32× | ||
| 04 | Peter Thiel | Business & Career | 20.00× | ||
| 05 | Megamind | Movies & TV | 20.00× | ||
| 06 | Meet the Robinsons | Movies & TV | 20.00× | ||
| 07 | Melanie Lynskey | Movies & TV | 20.00× | ||
| 08 | Thandie Newton | Movies & TV | 20.00× | ||
| 09 | Vera Farmiga | Movies & TV | 18.20× | ||
| 10 | Kung Fu Panda | Movies & TV | 17.14× | ||
| 11 | Monsters | Movies & TV | 15.92× | ||
| 12 | Finding Nemo | Movies & TV | 15.14× | ||
| 13 | Jamie Foxx | Movies & TV | 13.55× | ||
| 14 | Shrek | Movies & TV | 12.75× | ||
| 15 | Black Panther (film) | Movies & TV | 12.10× | ||
| 16 | Zootopia | Movies & TV | 10.21× | ||
| 17 | Teyana Taylor | Movies & TV | 8.14× | ||
| 18 | Pizza Hut | Food & Beverages | 4.63× | ||
| 19 | Subway | Food & Beverages | 4.39× | ||
| 20 | Discount stores | Shopping | 4.06× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Convenience Orientation | PREMIUM | 2.25× | |
| Family Orientation | CONSERVATISM | 1.96× | |
| Price Sensitivity | PREMIUM | 1.60× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| DIY Mentality | THRILL | 0.58× | |
| Early Adopter Mentality | POWER | 0.70× | |
| Sustainability | BALANCE | 0.71× |
Why Did I Get Married Too? has an estimated audience of 325,449 people in United States, concentrated in Texas and California.
47.6% of Why Did I Get Married Too? fans are female, 52.4% are male, with an average age of 37.2 years.
Why Did I Get Married Too? fans show strongest brand affinity for Peter Thiel (20×), Monsters (15.92×), and Megamind (20×) over the country average.
Why Did I Get Married Too? fans in United States are most concentrated in Texas (reach ~40K), California (reach ~40K), and Florida (reach ~20K). These three regions account for the largest share of the active audience.
Beyond Why Did I Get Married Too? itself, the audience over-indexes on Monsters (15.92×), Megamind (20×), Storage Wars (32.13×), and Bounce TV (28.92×) 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 Why Did I Get Married Too?. 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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