Facebook and Instagram Auto Interest Audiences in the U.S. (2026)
Introduction
This report summarizes U.S. auto related interest audiences available for targeting in Meta Ads (Facebook and Instagram), split by age and gender. The data was collected via the Meta Marketing API using the lower bound of the available audience forecast within each interest segment, with no placement restrictions inside Facebook and Instagram, and without including Audience Network.
Baseline: U.S. Meta Universe
The baseline “USA Meta Universe” represents the total addressable audience used as a comparison point for all segments below. The overall audience size is 252.2M, with 132.3M female and 119.9M male. Age wise, the distribution is broad, but two cohorts stand out by volume: 25–34 and 55+. For many interest segments, these cohorts remain the largest pools, which matters when you build prospecting campaigns and when you set expectations for lead quality and conversion efficiency.
| All Population | female 18-24 | female 25-34 | female 35-44 | female 45-54 | female 55+ | male 18-24 | male 25-34 | male 35-44 | male 45-54 | male 55+ | Total Male | Total Female | Grand Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| USA Meta Universe (All Population) | 21,400,000 | 33,400,000 | 24,300,000 | 16,700,000 | 36,500,000 | 18,000,000 | 32,000,000 | 24,300,000 | 18,500,000 | 27,100,000 | 119,900,000 | 132,300,000 | 252,200,000 |
Mass and premium brands
In auto interest targeting, the largest brand pools are often big enough to operate like broad prospecting audiences. For example, Toyota reaches 22.4% of the U.S. Meta Universe (56.5M), and Mercedes-Benz reaches 22.2% (56.1M). Category style interests are similarly large: SUVs cover 21.6% (54.4M).
These large segments are useful for scale, but they can include a wide mix of intent levels. To improve lead quality for services, software, or higher ticket offers, pair broad auto interests with tighter messaging and creative that qualifies the user early (for example, product demo or use case video that filters casual browsers). When possible, split by brand tier (mass vs premium) or by vehicle type (SUV, EV, sports car) so each ad set can speak to a clear context.
| Brands | female 18-24 | female 25-34 | female 35-44 | female 45-54 | female 55+ | male 18-24 | male 25-34 | male 35-44 | male 45-54 | male 55+ | Total Male | Total Female | Grand Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Volkswagen (vehicle) | 2,300,000 | 4,400,000 | 3,400,000 | 2,200,000 | 3,200,000 | 3,200,000 | 6,500,000 | 4,400,000 | 2,900,000 | 3,800,000 | 20,800,000 | 15,500,000 | 36,300,000 |
| Toyota (vehicles) | 3,100,000 | 6,100,000 | 5,000,000 | 3,700,000 | 6,500,000 | 4,200,000 | 9,200,000 | 6,900,000 | 4,800,000 | 7,000,000 | 32,100,000 | 24,400,000 | 56,500,000 |
| Tesla Motors (vehicle) | 153,700 | 804,100 | 1,100,000 | 1,000,000 | 2,600,000 | 337,700 | 1,600,000 | 2,100,000 | 1,700,000 | 3,200,000 | 8,937,700 | 5,657,800 | 14,595,500 |
| Suzuki (vehicle) | 2,100,000 | 3,300,000 | 2,100,000 | 1,200,000 | 1,600,000 | 3,000,000 | 5,600,000 | 3,300,000 | 2,100,000 | 2,900,000 | 16,900,000 | 10,300,000 | 27,200,000 |
| SUVs (vehicles) | 1,200,000 | 4,100,000 | 4,900,000 | 4,400,000 | 9,700,000 | 1,700,000 | 6,500,000 | 6,900,000 | 5,500,000 | 9,500,000 | 30,100,000 | 24,300,000 | 54,400,000 |
| Renault (vehicles) | 285,700 | 590,500 | 552,900 | 490,200 | 1,000,000 | 514,500 | 1,300,000 | 1,100,000 | 797,700 | 1,100,000 | 4,812,200 | 2,919,300 | 7,731,500 |
| Porsche (vehicles) | 2,600,000 | 5,200,000 | 4,200,000 | 2,900,000 | 4,800,000 | 3,600,000 | 7,600,000 | 5,300,000 | 3,500,000 | 5,000,000 | 25,000,000 | 19,700,000 | 44,700,000 |
| Peugeot (vehicles) | 178,700 | 387,300 | 336,300 | 241,800 | 398,800 | 334,700 | 895,700 | 660,600 | 404,500 | 542,600 | 2,838,100 | 1,542,900 | 4,381,000 |
| Opel (vehicles) | 3,000 | 17,600 | 21,100 | 23,100 | 95,700 | 27,300 | 100,700 | 94,000 | 101,300 | 324,300 | 647,600 | 160,500 | 808,100 |
| Nissan (vehicles) | 1,900,000 | 4,100,000 | 3,400,000 | 2,500,000 | 4,300,000 | 2,800,000 | 6,200,000 | 4,700,000 | 3,300,000 | 4,800,000 | 21,800,000 | 16,200,000 | 38,000,000 |
| Mitsubishi Motors (vehicles) | 225,500 | 573,100 | 563,200 | 509,800 | 1,100,000 | 459,800 | 1,300,000 | 1,200,000 | 882,100 | 1,300,000 | 5,141,900 | 2,971,600 | 8,113,500 |
| Mercedes-Benz (vehicles) | 3,500,000 | 7,000,000 | 5,500,000 | 3,800,000 | 6,200,000 | 4,300,000 | 9,100,000 | 6,500,000 | 4,300,000 | 5,900,000 | 30,100,000 | 26,000,000 | 56,100,000 |
| Lexus (vehicles) | 704,800 | 2,000,000 | 2,000,000 | 1,500,000 | 3,200,000 | 1,100,000 | 3,100,000 | 3,000,000 | 2,100,000 | 3,400,000 | 12,700,000 | 9,404,800 | 22,104,800 |
| Jeep (vehicles) | 827,800 | 2,300,000 | 2,200,000 | 2,000,000 | 4,100,000 | 1,500,000 | 4,600,000 | 4,400,000 | 3,500,000 | 5,500,000 | 19,500,000 | 11,427,800 | 30,927,800 |
| Jaguar Cars (vehicle) | 358,000 | 960,400 | 994,200 | 748,100 | 1,600,000 | 657,500 | 2,100,000 | 1,900,000 | 1,400,000 | 2,200,000 | 8,257,500 | 4,660,700 | 12,918,200 |
| Infiniti (vehicles) | 337,700 | 909,600 | 945,600 | 835,900 | 2,100,000 | 512,800 | 1,700,000 | 1,700,000 | 1,300,000 | 2,300,000 | 7,512,800 | 5,128,800 | 12,641,600 |
| Honda (vehicles) | 3,400,000 | 6,100,000 | 4,600,000 | 3,200,000 | 5,400,000 | 4,600,000 | 9,400,000 | 6,600,000 | 4,400,000 | 6,300,000 | 31,300,000 | 22,700,000 | 54,000,000 |
| Fiat Automobiles (vehicles) | 217,700 | 492,800 | 423,000 | 318,400 | 558,200 | 455,800 | 1,100,000 | 782,200 | 555,100 | 777,000 | 3,670,100 | 2,010,100 | 5,680,200 |
| Ferrari (vehicles) | 2,400,000 | 4,600,000 | 3,600,000 | 2,300,000 | 3,300,000 | 3,200,000 | 6,700,000 | 4,500,000 | 2,700,000 | 3,600,000 | 20,700,000 | 16,200,000 | 36,900,000 |
| Ducati (vehicles) | 1,800,000 | 2,700,000 | 1,600,000 | 911,900 | 1,100,000 | 2,600,000 | 4,500,000 | 2,500,000 | 1,500,000 | 2,100,000 | 13,200,000 | 8,111,900 | 21,311,900 |
| Chrysler (vehicles) | 252,400 | 817,500 | 881,200 | 844,300 | 1,700,000 | 451,000 | 1,800,000 | 2,000,000 | 1,700,000 | 2,800,000 | 8,751,000 | 4,495,400 | 13,246,400 |
| Chevrolet (vehicles) | 2,200,000 | 4,100,000 | 3,500,000 | 2,700,000 | 5,400,000 | 2,800,000 | 6,600,000 | 5,700,000 | 4,300,000 | 6,900,000 | 26,300,000 | 17,900,000 | 44,200,000 |
| Chery (vehicles) | 15,600 | 36,000 | 33,000 | 27,400 | 59,700 | 20,300 | 47,700 | 33,000 | 20,000 | 21,600 | 142,600 | 171,700 | 314,300 |
| Cadillac (vehicles) | 172,700 | 698,900 | 905,400 | 864,900 | 2,300,000 | 292,400 | 1,400,000 | 1,700,000 | 1,500,000 | 2,900,000 | 7,792,400 | 4,941,900 | 12,734,300 |
| BMW (vehicles) | 297,400 | 1,300,000 | 1,700,000 | 1,500,000 | 3,800,000 | 736,000 | 3,100,000 | 3,100,000 | 2,500,000 | 4,400,000 | 13,836,000 | 8,597,400 | 22,433,400 |
| Bentley (vehicles) | 407,700 | 1,100,000 | 1,100,000 | 836,200 | 1,700,000 | 760,700 | 2,300,000 | 1,900,000 | 1,400,000 | 2,200,000 | 8,560,700 | 5,143,900 | 13,704,600 |
| Acura (vehicles) | 199,600 | 660,200 | 760,600 | 702,000 | 2,000,000 | 409,200 | 1,600,000 | 1,700,000 | 1,300,000 | 2,600,000 | 7,609,200 | 4,322,400 | 11,931,600 |
| Smart (automobile) | 36,100 | 66,600 | 59,800 | 48,100 | 119,200 | 52,300 | 117,800 | 101,500 | 69,000 | 115,300 | 455,900 | 329,800 | 785,700 |
| Kia Motors (vehicles) | 1,300,000 | 2,900,000 | 2,400,000 | 1,800,000 | 3,000,000 | 1,700,000 | 4,300,000 | 3,500,000 | 2,400,000 | 3,400,000 | 15,300,000 | 11,400,000 | 26,700,000 |
Model level interests by brand
In addition to umbrella brand and category interests, we also pulled model level interests available through the API and grouped them by brand. This is useful for sharpening the message: model audiences often behave like narrower intent clusters compared to broad brand pools. Meta Ads includes far more model interests than what is practical to publish in a single article, so the groups below focus on representative, high signal options to illustrate the overall targeting depth.
BMW
BMW interest audiences skew male (13.8M male vs 8.6M female). Within the BMW cluster, larger model pools like the X5 and 3 Series can be treated as scalable prospecting segments, while smaller series provide tighter context for creative and offers.
| BMW Related Interests | female 18-24 | female 25-34 | female 35-44 | female 45-54 | female 55+ | male 18-24 | male 25-34 | male 35-44 | male 45-54 | male 55+ | Total Male | Total Female | Grand Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| BMW (vehicles) | 297,400 | 1,300,000 | 1,700,000 | 1,500,000 | 3,800,000 | 736,000 | 3,100,000 | 3,100,000 | 2,500,000 | 4,400,000 | 13,836,000 | 8,597,400 | 22,433,400 |
| BMW X5 (vehicle) | 121,200 | 247,300 | 232,200 | 200,000 | 563,100 | 353,900 | 825,200 | 625,600 | 456,500 | 723,100 | 2,984,300 | 1,363,800 | 4,348,100 |
| BMW X1 (vehicle) | 8,200 | 29,600 | 37,500 | 37,800 | 115,200 | 36,100 | 149,200 | 152,900 | 117,600 | 210,900 | 666,700 | 228,300 | 895,000 |
| BMW 7 Series (vehicle) | 71,000 | 136,600 | 116,200 | 93,200 | 252,500 | 251,400 | 599,300 | 426,500 | 296,700 | 448,200 | 2,022,100 | 669,500 | 2,691,600 |
| BMW 6 Series (vehicle) | 60,300 | 99,800 | 78,300 | 54,500 | 70,700 | 196,400 | 424,900 | 282,700 | 194,000 | 185,000 | 1,283,000 | 363,600 | 1,646,600 |
| BMW 5 Series (vehicle) | 71,500 | 131,800 | 116,300 | 93,200 | 209,400 | 273,000 | 634,800 | 467,800 | 323,900 | 455,700 | 2,155,200 | 622,200 | 2,777,400 |
| BMW 4 Series (vehicle) | 7,200 | 28,100 | 33,200 | 32,200 | 72,400 | 61,700 | 272,000 | 241,200 | 184,700 | 213,700 | 973,300 | 173,100 | 1,146,400 |
| BMW 3 Series (vehicle) | 138,700 | 249,500 | 206,100 | 153,100 | 288,800 | 482,200 | 1,100,000 | 748,100 | 507,700 | 659,500 | 3,497,500 | 1,036,200 | 4,533,700 |
| BMW 1 Series (vehicle) | 67,900 | 117,500 | 94,900 | 71,200 | 134,800 | 251,700 | 540,000 | 350,500 | 238,200 | 279,500 | 1,659,900 | 486,300 | 2,146,200 |
Nissan
Nissan audiences are large enough for scale (38.0M overall in the brand table). Model clusters like GT-R can be used to signal a performance oriented context, while mainstream models (Altima, Sentra, Pathfinder) are better treated as high volume pools that still benefit from message qualification.
| Nissan Related Interests | female 18-24 | female 25-34 | female 35-44 | female 45-54 | female 55+ | male 18-24 | male 25-34 | male 35-44 | male 45-54 | male 55+ | Total Male | Total Female | Grand Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Nissan (vehicles) | 1,900,000 | 4,100,000 | 3,400,000 | 2,500,000 | 4,300,000 | 2,800,000 | 6,200,000 | 4,700,000 | 3,300,000 | 4,800,000 | 21,800,000 | 16,200,000 | 38,000,000 |
| Nissan X-Trail (vehicle) | 4,200 | 26,800 | 32,500 | 40,500 | 134,600 | 12,700 | 92,200 | 109,800 | 90,300 | 182,000 | 487,000 | 238,600 | 725,600 |
| Nissan Sentra (vehicle) | 97,300 | 172,400 | 154,700 | 140,600 | 290,800 | 116,000 | 397,900 | 411,800 | 343,900 | 583,300 | 1,852,900 | 855,800 | 2,708,700 |
| Nissan Pathfinder (vehicle) | 33,800 | 87,700 | 94,500 | 87,400 | 230,800 | 57,400 | 187,000 | 176,100 | 134,700 | 229,700 | 784,900 | 534,200 | 1,319,100 |
| Nissan GT-R (vehicle) | 125,000 | 248,700 | 173,000 | 95,900 | 116,700 | 511,500 | 1,100,000 | 653,500 | 355,200 | 370,300 | 2,990,500 | 759,300 | 3,749,800 |
| Nissan electric vehicles (vehicles) | 22,500 | 34,600 | 35,600 | 27,900 | 56,500 | 28,100 | 59,600 | 72,200 | 66,300 | 99,300 | 325,500 | 177,100 | 502,600 |
| Nissan Altima (vehicle) | 92,700 | 134,700 | 106,500 | 89,600 | 168,500 | 134,700 | 303,900 | 237,600 | 178,900 | 283,800 | 1,138,900 | 592,000 | 1,730,900 |
Mercedes-Benz
Mercedes-Benz is one of the largest premium brand interest pools (56.1M in the brand table). Model interests can help you separate luxury lifestyle context (G-Class) from more mainstream premium segments (C-Class, CLA-Class) depending on your offer.
| Mercedes Related Interests | female 18-24 | female 25-34 | female 35-44 | female 45-54 | female 55+ | male 18-24 | male 25-34 | male 35-44 | male 45-54 | male 55+ | Total Male | Total Female | Grand Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mercedes-Benz (vehicles) | 3,500,000 | 7,000,000 | 5,500,000 | 3,800,000 | 6,200,000 | 4,300,000 | 9,100,000 | 6,500,000 | 4,300,000 | 5,900,000 | 30,100,000 | 26,000,000 | 56,100,000 |
| Mercedes-Benz Vito (vehicle) | 1,500 | 5,800 | 8,100 | 8,400 | 21,300 | 8,600 | 37,000 | 39,200 | 29,100 | 64,100 | 178,000 | 45,100 | 223,100 |
| Mercedes-Benz GL-Class (vehicle) | 14,100 | 39,700 | 42,700 | 35,900 | 119,200 | 43,000 | 123,700 | 106,300 | 80,300 | 169,800 | 523,100 | 251,600 | 774,700 |
| Mercedes-Benz G-Class (vehicle) | 16,800 | 77,600 | 95,200 | 89,700 | 171,700 | 82,000 | 336,900 | 335,900 | 268,800 | 353,600 | 1,377,200 | 451,000 | 1,828,200 |
| Mercedes-Benz CLA-Class (vehicle) | 8,000 | 37,500 | 61,200 | 76,400 | 189,800 | 38,000 | 214,700 | 249,700 | 221,900 | 319,600 | 1,043,900 | 372,900 | 1,416,800 |
| Mercedes-Benz C-Class (vehicle) | 56,000 | 114,800 | 112,600 | 110,800 | 258,600 | 201,900 | 486,000 | 360,900 | 261,400 | 337,400 | 1,647,600 | 652,800 | 2,300,400 |
| Mercedes-Benz B-Class (vehicle) | 28,700 | 47,600 | 43,900 | 49,200 | 131,400 | 90,200 | 218,700 | 163,400 | 125,700 | 155,600 | 753,600 | 300,800 | 1,054,400 |
Audi
We were not able to pull the umbrella interest for “Audi” from the API in this export. Below is a practical breakdown based on model line interests, which still provides a usable way to segment messaging by performance (S/RS, R8) and by SUV vs sedan intent.
| Audi Related Interests | female 18-24 | female 25-34 | female 35-44 | female 45-54 | female 55+ | male 18-24 | male 25-34 | male 35-44 | male 45-54 | male 55+ | Total Male | Total Female | Grand Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Audi S and RS models (vehicle) | 36,900 | 74,800 | 71,500 | 61,900 | 135,100 | 153,600 | 393,500 | 320,000 | 228,300 | 294,900 | 1,390,300 | 380,200 | 1,770,500 |
| Audi R8 (vehicle) | 29,800 | 62,100 | 65,600 | 60,500 | 126,700 | 126,300 | 393,700 | 330,900 | 228,700 | 274,200 | 1,353,800 | 344,700 | 1,698,500 |
| Audi Q7 (vehicle) | 29,200 | 207,200 | 333,500 | 246,900 | 576,500 | 78,500 | 427,300 | 524,400 | 389,300 | 674,800 | 2,094,300 | 1,393,300 | 3,487,600 |
| Audi Q5 (vehicle) | 8,300 | 44,200 | 74,400 | 76,200 | 116,300 | 41,300 | 179,300 | 206,000 | 162,100 | 226,900 | 815,600 | 319,400 | 1,135,000 |
| Audi Q3 (vehicle) | 12,800 | 39,500 | 68,800 | 69,200 | 185,600 | 42,300 | 141,600 | 164,900 | 136,400 | 254,500 | 739,700 | 375,900 | 1,115,600 |
| Audi A8 (vehicle) | 29,200 | 50,900 | 45,600 | 40,200 | 154,500 | 96,400 | 226,300 | 175,000 | 125,600 | 242,100 | 865,400 | 320,400 | 1,185,800 |
| Audi A7 (vehicle) | 7,100 | 26,600 | 39,000 | 40,000 | 92,100 | 35,800 | 147,300 | 161,100 | 123,300 | 176,200 | 643,700 | 204,800 | 848,500 |
| Audi A6 (vehicle) | 49,400 | 87,700 | 97,100 | 94,300 | 189,600 | 159,200 | 392,900 | 369,800 | 288,100 | 438,800 | 1,648,800 | 518,100 | 2,166,900 |
| Audi A5 (vehicle) | 13,800 | 40,900 | 51,600 | 55,000 | 128,300 | 57,400 | 206,400 | 198,900 | 145,000 | 219,200 | 826,900 | 289,600 | 1,116,500 |
| Audi A4 (vehicle) | 56,600 | 92,300 | 81,500 | 64,200 | 118,300 | 193,200 | 414,200 | 301,900 | 195,600 | 235,800 | 1,340,700 | 412,900 | 1,753,600 |
| Audi A3 (vehicle) | 55,400 | 99,200 | 101,000 | 93,000 | 205,600 | 191,000 | 460,400 | 390,300 | 271,900 | 364,100 | 1,677,700 | 554,200 | 2,231,900 |
| Audi A1 (vehicle) | 28,700 | 50,600 | 46,900 | 28,400 | 38,700 | 92,500 | 195,000 | 136,100 | 84,100 | 105,900 | 613,600 | 193,300 | 806,900 |
Chevrolet
Chevrolet combines very large brand scale with meaningful model level segmentation. Larger SUVs (Tahoe, Traverse) can be positioned around family and utility, while Camaro signals performance context.
| Chevrolet Related Interests | female 18-24 | female 25-34 | female 35-44 | female 45-54 | female 55+ | male 18-24 | male 25-34 | male 35-44 | male 45-54 | male 55+ | Total Male | Total Female | Grand Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Chevrolet (vehicles) | 2,200,000 | 4,100,000 | 3,500,000 | 2,700,000 | 5,400,000 | 2,800,000 | 6,600,000 | 5,700,000 | 4,300,000 | 6,900,000 | 26,300,000 | 17,900,000 | 44,200,000 |
| Chevrolet Traverse (vehicle) | 29,100 | 113,800 | 122,500 | 108,400 | 293,700 | 73,700 | 248,600 | 282,300 | 232,000 | 431,500 | 1,268,100 | 667,500 | 1,935,600 |
| Chevrolet Tahoe (vehicle) | 92,200 | 312,200 | 380,900 | 281,400 | 681,600 | 200,100 | 836,600 | 968,500 | 742,000 | 1,200,000 | 3,947,200 | 1,748,300 | 5,695,500 |
| Chevrolet Equinox (vehicle) | 39,300 | 150,000 | 151,200 | 144,200 | 391,000 | 70,200 | 298,300 | 348,200 | 316,200 | 643,300 | 1,676,200 | 875,700 | 2,551,900 |
| Chevrolet Camaro (vehicle) | 264,200 | 448,200 | 381,600 | 234,800 | 524,400 | 707,700 | 1,600,000 | 1,400,000 | 1,100,000 | 1,800,000 | 6,607,700 | 1,853,200 | 8,460,900 |
Volkswagen
Volkswagen has both a large umbrella audience and meaningful model clusters (Tiguan, Golf, Jetta). Tiguan stands out as the largest model level pool in this group, which makes it a practical segment for scaling SUV adjacent messaging.
| Volkswagen Related Interests | female 18-24 | female 25-34 | female 35-44 | female 45-54 | female 55+ | male 18-24 | male 25-34 | male 35-44 | male 45-54 | male 55+ | Total Male | Total Female | Grand Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Volkswagen (vehicle) | 2,300,000 | 4,400,000 | 3,400,000 | 2,200,000 | 3,200,000 | 3,200,000 | 6,500,000 | 4,400,000 | 2,900,000 | 3,800,000 | 20,800,000 | 15,500,000 | 36,300,000 |
| Volkswagen Tiguan (vehicle) | 102,700 | 604,200 | 777,100 | 774,300 | 1,600,000 | 240,200 | 1,400,000 | 1,800,000 | 1,400,000 | 2,200,000 | 7,040,200 | 3,858,300 | 10,898,500 |
| Volkswagen Jetta (vehicle) | 23,300 | 74,800 | 80,800 | 83,300 | 217,500 | 70,000 | 255,800 | 237,800 | 177,300 | 287,100 | 1,028,000 | 479,700 | 1,507,700 |
| Volkswagen Golf (vehicle) | 227,000 | 348,300 | 248,500 | 164,200 | 302,100 | 530,500 | 953,800 | 632,000 | 388,000 | 501,300 | 3,005,600 | 1,290,100 | 4,295,700 |
Opel
Opel audiences are much smaller in the U.S. dataset compared to global brand pools. If you still have a reason to target these segments (for example, expat communities or imported vehicle interest), treat them as niche and use tight creative qualification.
| Opel Related Interests | female 18-24 | female 25-34 | female 35-44 | female 45-54 | female 55+ | male 18-24 | male 25-34 | male 35-44 | male 45-54 | male 55+ | Total Male | Total Female | Grand Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Opel (vehicles) | 3,000 | 17,600 | 21,100 | 23,100 | 95,700 | 27,300 | 100,700 | 94,000 | 101,300 | 324,300 | 647,600 | 160,500 | 808,100 |
| Opel Mokka (vehicle) | 9,600 | 16,400 | 13,200 | 11,600 | 35,300 | 21,800 | 49,900 | 35,700 | 26,000 | 51,900 | 185,300 | 86,100 | 271,400 |
| Opel Corsa (vehicle) | 13,300 | 22,400 | 17,500 | 14,000 | 29,300 | 30,400 | 68,700 | 50,600 | 34,000 | 49,900 | 233,600 | 96,500 | 330,100 |
Peugeot
Peugeot is another niche brand in the U.S. dataset. When used, model level interests (208, 308) can provide a clearer context than the umbrella brand segment.
| Peugeot Related Interests | female 18-24 | female 25-34 | female 35-44 | female 45-54 | female 55+ | male 18-24 | male 25-34 | male 35-44 | male 45-54 | male 55+ | Total Male | Total Female | Grand Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Peugeot (vehicles) | 178,700 | 387,300 | 336,300 | 241,800 | 398,800 | 334,700 | 895,700 | 660,600 | 404,500 | 542,600 | 2,838,100 | 1,542,900 | 4,381,000 |
| Peugeot 308 (vehicle) | 12,500 | 50,400 | 32,100 | 15,900 | 19,900 | 21,500 | 91,300 | 62,100 | 35,000 | 35,900 | 245,800 | 130,800 | 376,600 |
| Peugeot 208 (vehicle) | 9,800 | 46,900 | 30,300 | 15,300 | 21,300 | 16,900 | 82,000 | 56,300 | 30,700 | 36,900 | 222,800 | 123,600 | 346,400 |
Ford
Ford related interests include both brand level and high volume model pools. F-Series and Mustang stand out as scalable segments that can support both retail and aftermarket messaging, while SUV models (Explorer, Expedition, Escape) map well to utility and family use cases.
| Ford Related Interests | female 18-24 | female 25-34 | female 35-44 | female 45-54 | female 55+ | male 18-24 | male 25-34 | male 35-44 | male 45-54 | male 55+ | Total Male | Total Female | Grand Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Ford Ranger (vehicle) | 44,900 | 97,600 | 80,300 | 47,300 | 47,600 | 154,500 | 366,300 | 244,200 | 142,900 | 122,300 | 1,030,200 | 317,700 | 1,347,900 |
| Ford Mustang (vehicle) | 373,400 | 677,200 | 632,300 | 455,400 | 1,100,000 | 964,400 | 2,300,000 | 2,000,000 | 1,600,000 | 2,600,000 | 9,464,400 | 3,238,300 | 12,702,700 |
| Ford Motor Company (vehicles) | 858,400 | 2,600,000 | 2,700,000 | 2,500,000 | 5,900,000 | 1,300,000 | 4,700,000 | 4,900,000 | 4,100,000 | 7,400,000 | 22,400,000 | 14,558,400 | 36,958,400 |
| Ford Fiesta (vehicle) | 18,200 | 61,500 | 62,800 | 57,100 | 112,400 | 47,400 | 195,800 | 195,900 | 152,900 | 219,300 | 811,300 | 312,000 | 1,123,300 |
| Ford F-Series (vehicle) | 524,400 | 908,300 | 845,300 | 693,300 | 1,800,000 | 1,300,000 | 3,200,000 | 2,900,000 | 2,200,000 | 3,800,000 | 13,400,000 | 4,771,300 | 18,171,300 |
| Ford F-150 SVT Raptor (vehicle) | 1,000 | 1,000 | 1,000 | 1,000 | 1,000 | 1,000 | 1,000 | 0 | 1,000 | 1,000 | 4,000 | 5,000 | 9,000 |
| Ford Explorer (vehicle) | 20,900 | 100,500 | 143,300 | 149,800 | 435,300 | 57,900 | 318,600 | 413,900 | 357,800 | 655,700 | 1,803,900 | 849,800 | 2,653,700 |
| Ford Expedition (vehicle) | 115,300 | 221,300 | 204,400 | 211,400 | 563,600 | 145,600 | 435,600 | 461,800 | 424,000 | 841,500 | 2,308,500 | 1,316,000 | 3,624,500 |
| Ford Escape (vehicle) | 29,100 | 98,100 | 105,900 | 100,100 | 273,300 | 67,300 | 237,200 | 254,500 | 224,100 | 423,800 | 1,206,900 | 606,500 | 1,813,400 |
Infiniti
Infiniti’s model level interests (QX80, QX60) provide a clean way to segment large SUV luxury audiences from the broader premium pool.
| Infiniti Related Interests | female 18-24 | female 25-34 | female 35-44 | female 45-54 | female 55+ | male 18-24 | male 25-34 | male 35-44 | male 45-54 | male 55+ | Total Male | Total Female | Grand Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Infiniti (vehicles) | 337,700 | 909,600 | 945,600 | 835,900 | 2,100,000 | 512,800 | 1,700,000 | 1,700,000 | 1,300,000 | 2,300,000 | 7,512,800 | 5,128,800 | 12,641,600 |
| Infiniti QX80 (vehicle) | 91,000 | 228,600 | 204,500 | 86,700 | 38,800 | 105,700 | 249,600 | 206,400 | 94,400 | 40,100 | 696,200 | 649,600 | 1,345,800 |
| Infiniti QX60 (vehicle) | 33,200 | 101,900 | 165,300 | 180,400 | 684,400 | 76,800 | 211,900 | 262,200 | 230,000 | 629,600 | 1,410,500 | 1,165,200 | 2,575,700 |
Toyota
Toyota is a top tier mass brand audience (56.5M overall). Model interests like Tacoma, Camry, and RAV4 provide natural segmentation by use case: truck, sedan, and SUV intent.
| Toyota Related Interests | female 18-24 | female 25-34 | female 35-44 | female 45-54 | female 55+ | male 18-24 | male 25-34 | male 35-44 | male 45-54 | male 55+ | Total Male | Total Female | Grand Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Toyota (vehicles) | 3,100,000 | 6,100,000 | 5,000,000 | 3,700,000 | 6,500,000 | 4,200,000 | 9,200,000 | 6,900,000 | 4,800,000 | 7,000,000 | 32,100,000 | 24,400,000 | 56,500,000 |
| Toyota Tacoma (vehicle) | 77,700 | 262,400 | 323,500 | 324,000 | 800,100 | 360,000 | 1,300,000 | 1,500,000 | 1,300,000 | 2,200,000 | 6,660,000 | 1,787,700 | 8,447,700 |
| Toyota RAV4 (vehicle) | 84,100 | 355,000 | 449,300 | 453,900 | 1,200,000 | 204,900 | 786,600 | 934,200 | 797,700 | 1,500,000 | 4,223,400 | 2,542,300 | 6,765,700 |
| Toyota Highlander (vehicle) | 33,800 | 129,000 | 170,200 | 174,100 | 436,600 | 105,200 | 388,400 | 443,900 | 373,400 | 645,600 | 1,956,500 | 943,700 | 2,900,200 |
| Toyota Fortuner (vehicle) | 388,400 | 659,500 | 457,300 | 294,100 | 356,100 | 757,300 | 1,400,000 | 910,700 | 551,300 | 581,500 | 4,200,800 | 2,155,400 | 6,356,200 |
| Toyota Corolla (vehicle) | 208,800 | 326,100 | 249,000 | 184,300 | 315,700 | 421,100 | 834,400 | 610,700 | 424,800 | 590,400 | 2,881,400 | 1,283,900 | 4,165,300 |
| Toyota Camry (vehicle) | 360,800 | 693,800 | 565,900 | 432,600 | 725,600 | 733,900 | 1,600,000 | 1,200,000 | 806,400 | 1,000,000 | 5,340,300 | 2,778,700 | 8,119,000 |
| Toyota 4x4 (vehicle) | 13,500 | 31,800 | 27,000 | 18,900 | 20,500 | 39,900 | 96,800 | 65,900 | 43,500 | 38,500 | 284,600 | 111,700 | 396,300 |
| Toyota 4Runner (vehicle) | 49,800 | 198,100 | 254,100 | 257,700 | 594,500 | 182,700 | 864,500 | 1,000,000 | 831,300 | 1,300,000 | 4,178,500 | 1,354,200 | 5,532,700 |
Kia
Kia model audiences (Sportage, Sorento, Forte) offer a clean split between SUV and compact sedan intent. Forte is the largest model pool in this group.
| Kia Related Interests | female 18-24 | female 25-34 | female 35-44 | female 45-54 | female 55+ | male 18-24 | male 25-34 | male 35-44 | male 45-54 | male 55+ | Total Male | Total Female | Grand Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Kia Motors (vehicles) | 1,300,000 | 2,900,000 | 2,400,000 | 1,800,000 | 3,000,000 | 1,700,000 | 4,300,000 | 3,500,000 | 2,400,000 | 3,400,000 | 15,300,000 | 11,400,000 | 26,700,000 |
| Kia Sportage (vehicle) | 28,600 | 111,000 | 160,900 | 154,300 | 278,100 | 51,500 | 225,800 | 250,700 | 188,600 | 345,400 | 1,062,000 | 732,900 | 1,794,900 |
| Kia Sorento (vehicle) | 21,800 | 84,500 | 117,500 | 111,200 | 215,700 | 36,100 | 173,400 | 195,900 | 150,000 | 270,300 | 825,700 | 550,700 | 1,376,400 |
| Kia Rio (vehicle) | 7,700 | 38,700 | 51,400 | 46,600 | 85,600 | 13,900 | 91,000 | 94,700 | 62,200 | 92,500 | 354,300 | 230,000 | 584,300 |
| Kia Forte (vehicle) | 103,200 | 215,000 | 217,700 | 160,100 | 257,700 | 212,100 | 422,900 | 325,900 | 221,000 | 281,900 | 1,463,800 | 953,700 | 2,417,500 |
Jeep
Jeep related interests are well suited for outdoor and off road positioning. Wrangler and Grand Cherokee are the most meaningful model splits in this group.
| Jeep Related Interests | female 18-24 | female 25-34 | female 35-44 | female 45-54 | female 55+ | male 18-24 | male 25-34 | male 35-44 | male 45-54 | male 55+ | Total Male | Total Female | Grand Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Jeep (vehicles) | 827,800 | 2,300,000 | 2,200,000 | 2,000,000 | 4,100,000 | 1,500,000 | 4,600,000 | 4,400,000 | 3,500,000 | 5,500,000 | 19,500,000 | 11,427,800 | 30,927,800 |
| Jeep Wrangler (vehicle) | 139,200 | 447,600 | 458,100 | 436,300 | 760,300 | 433,900 | 1,600,000 | 1,600,000 | 1,400,000 | 2,000,000 | 7,033,900 | 2,241,500 | 9,275,400 |
| Jeep Grand Cherokee (vehicle) | 134,500 | 686,600 | 889,500 | 941,200 | 2,000,000 | 306,000 | 1,700,000 | 2,100,000 | 1,800,000 | 2,900,000 | 8,806,000 | 4,651,800 | 13,457,800 |
| Jeep Compass (vehicle) | 93,000 | 172,600 | 180,700 | 180,400 | 319,700 | 132,700 | 392,500 | 381,200 | 312,800 | 431,100 | 1,650,300 | 946,400 | 2,596,700 |
Honda
Honda is one of the largest mass brand segments (54.0M overall). Civic stands out as the biggest model pool in this group, while CR-V and Pilot provide SUV and family oriented context.
| Honda Related Interests | female 18-24 | female 25-34 | female 35-44 | female 45-54 | female 55+ | male 18-24 | male 25-34 | male 35-44 | male 45-54 | male 55+ | Total Male | Total Female | Grand Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Honda (vehicles) | 3,400,000 | 6,100,000 | 4,600,000 | 3,200,000 | 5,400,000 | 4,600,000 | 9,400,000 | 6,600,000 | 4,400,000 | 6,300,000 | 31,300,000 | 22,700,000 | 54,000,000 |
| Honda Pilot (vehicle) | 43,800 | 125,700 | 143,700 | 142,000 | 502,400 | 94,100 | 306,300 | 306,400 | 258,200 | 621,100 | 1,586,100 | 957,600 | 2,543,700 |
| Honda HR-V (vehicle) | 269,700 | 483,000 | 399,400 | 279,700 | 389,000 | 602,500 | 1,100,000 | 750,900 | 464,600 | 543,600 | 3,461,600 | 1,820,800 | 5,282,400 |
| Honda CR-V (vehicle) | 35,000 | 156,000 | 192,300 | 204,400 | 560,000 | 91,000 | 431,400 | 485,100 | 396,300 | 763,500 | 2,167,300 | 1,147,700 | 3,315,000 |
| Honda Civic (vehicle) | 485,000 | 908,600 | 663,500 | 473,700 | 801,200 | 986,700 | 2,000,000 | 1,400,000 | 861,900 | 1,200,000 | 6,448,600 | 3,332,000 | 9,780,600 |
| Honda Accord (vehicle) | 233,700 | 416,900 | 355,700 | 258,700 | 438,600 | 519,000 | 1,100,000 | 790,600 | 527,900 | 703,100 | 3,640,600 | 1,703,600 | 5,344,200 |
Tesla
Tesla’s model level interests (Model S, Model X) are meaningful scale segments for EV oriented messaging, and they can be paired with charging and EV infrastructure interests later in this article.
| Tesla Related Interests | female 18-24 | female 25-34 | female 35-44 | female 45-54 | female 55+ | male 18-24 | male 25-34 | male 35-44 | male 45-54 | male 55+ | Total Male | Total Female | Grand Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Tesla Motors (vehicle) | 153,700 | 804,100 | 1,100,000 | 1,000,000 | 2,600,000 | 337,700 | 1,600,000 | 2,100,000 | 1,700,000 | 3,200,000 | 8,937,700 | 5,657,800 | 14,595,500 |
| Tesla Model X (vehicle) | 25,500 | 251,800 | 445,800 | 423,000 | 831,500 | 77,100 | 581,400 | 904,900 | 745,200 | 1,200,000 | 3,508,600 | 1,977,600 | 5,486,200 |
| Tesla Model S (vehicle) | 22,000 | 227,100 | 428,300 | 417,400 | 787,400 | 81,800 | 617,800 | 934,500 | 766,400 | 1,200,000 | 3,600,500 | 1,882,200 | 5,482,700 |
Renault
Renault audiences are smaller relative to U.S. mass brands, but the model splits can still be used as niche context segments when needed.
| Renault Related Interests | female 18-24 | female 25-34 | female 35-44 | female 45-54 | female 55+ | male 18-24 | male 25-34 | male 35-44 | male 45-54 | male 55+ | Total Male | Total Female | Grand Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Renault (vehicles) | 285,700 | 590,500 | 552,900 | 490,200 | 1,000,000 | 514,500 | 1,300,000 | 1,100,000 | 797,700 | 1,100,000 | 4,812,200 | 2,919,300 | 7,731,500 |
| Renault Zoe (vehicle) | 52,100 | 89,100 | 36,200 | 16,800 | 45,000 | 32,300 | 77,500 | 40,500 | 22,700 | 43,900 | 216,900 | 239,200 | 456,100 |
| Renault Captur (vehicle) | 54,600 | 87,100 | 84,700 | 57,200 | 84,500 | 39,400 | 83,900 | 76,800 | 51,300 | 69,000 | 320,400 | 368,100 | 688,500 |
Dodge
Dodge audiences lean strongly male (13.7M male vs 6.9M female). Charger is a meaningful model segment for performance and muscle car context.
| Dodge Related Interests | female 18-24 | female 25-34 | female 35-44 | female 45-54 | female 55+ | male 18-24 | male 25-34 | male 35-44 | male 45-54 | male 55+ | Total Male | Total Female | Grand Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dodge (vehicles) | 532,500 | 1,300,000 | 1,400,000 | 1,200,000 | 2,500,000 | 992,400 | 3,100,000 | 3,000,000 | 2,500,000 | 4,100,000 | 13,692,400 | 6,932,500 | 20,624,900 |
| Dodge Charger (vehicle) | 134,600 | 227,500 | 184,400 | 143,400 | 318,900 | 353,800 | 980,700 | 868,500 | 744,500 | 1,300,000 | 4,247,500 | 1,008,800 | 5,256,300 |
Mazda
We did not include an umbrella “Mazda” interest in this export, but the model interests below provide usable segmentation for Mazda intent.
| Mazda Related Interests | female 18-24 | female 25-34 | female 35-44 | female 45-54 | female 55+ | male 18-24 | male 25-34 | male 35-44 | male 45-54 | male 55+ | Total Male | Total Female | Grand Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mazda6 (vehicle) | 11,000 | 37,000 | 35,900 | 33,700 | 65,800 | 32,300 | 136,300 | 123,500 | 96,600 | 136,900 | 525,600 | 183,400 | 709,000 |
| Mazda3 (vehicle) | 19,600 | 60,300 | 54,200 | 51,000 | 123,400 | 46,100 | 186,900 | 166,100 | 124,500 | 210,200 | 733,800 | 308,500 | 1,042,300 |
| Mazda CX-9 (vehicle) | 8,600 | 30,100 | 33,300 | 30,500 | 55,400 | 23,700 | 108,500 | 109,000 | 84,600 | 121,700 | 447,500 | 157,900 | 605,400 |
| Mazda CX-5 (vehicle) | 25,500 | 107,800 | 110,500 | 114,600 | 332,900 | 51,400 | 248,100 | 234,400 | 169,800 | 373,400 | 1,077,100 | 691,300 | 1,768,400 |
| Mazda CX-3 (vehicle) | 2,800 | 14,700 | 18,000 | 16,000 | 25,100 | 14,300 | 72,800 | 77,000 | 56,700 | 75,400 | 296,200 | 76,600 | 372,800 |
Lexus
Lexus audiences combine premium positioning with meaningful model clusters. RX and GX provide SUV oriented segmentation, while IS/ES help separate sedan intent.
| Lexus Related Interests | female 18-24 | female 25-34 | female 35-44 | female 45-54 | female 55+ | male 18-24 | male 25-34 | male 35-44 | male 45-54 | male 55+ | Total Male | Total Female | Grand Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Lexus (vehicles) | 704,800 | 2,000,000 | 2,000,000 | 1,500,000 | 3,200,000 | 1,100,000 | 3,100,000 | 3,000,000 | 2,100,000 | 3,400,000 | 12,700,000 | 9,404,800 | 22,104,800 |
| Lexus RX (vehicle) | 182,700 | 297,400 | 335,200 | 253,100 | 757,000 | 353,900 | 673,600 | 581,600 | 437,900 | 902,300 | 2,949,300 | 1,825,400 | 4,774,700 |
| Lexus RC (vehicle) | 19,000 | 75,600 | 105,700 | 43,800 | 70,300 | 56,200 | 187,300 | 193,200 | 106,300 | 131,900 | 674,900 | 314,400 | 989,300 |
| Lexus NX (vehicle) | 14,900 | 52,700 | 70,000 | 57,300 | 107,700 | 29,800 | 113,400 | 128,000 | 90,100 | 126,300 | 487,600 | 302,600 | 790,200 |
| Lexus LF (vehicles) | 13,600 | 63,200 | 93,600 | 30,800 | 20,800 | 28,700 | 98,300 | 101,100 | 44,200 | 37,800 | 310,100 | 222,000 | 532,100 |
| Lexus IS (vehicle) | 46,200 | 101,900 | 121,400 | 60,100 | 127,500 | 109,700 | 269,300 | 249,000 | 143,400 | 192,500 | 963,900 | 457,100 | 1,421,000 |
| Lexus GX (vehicle) | 37,900 | 134,400 | 176,600 | 120,000 | 415,500 | 65,300 | 277,900 | 339,900 | 257,000 | 533,900 | 1,474,000 | 884,400 | 2,358,400 |
| Lexus F (vehicle) | 124,900 | 169,400 | 172,600 | 84,900 | 114,200 | 203,200 | 333,100 | 242,800 | 129,900 | 134,100 | 1,043,100 | 666,000 | 1,709,100 |
| Lexus ES (vehicle) | 19,500 | 75,600 | 114,400 | 57,600 | 104,400 | 55,900 | 168,500 | 171,300 | 102,300 | 144,600 | 642,600 | 371,500 | 1,014,100 |
Hyundai
Hyundai model interests are useful for mid market SUV and sedan messaging. This export focuses on four mainstream models.
| Hyundai Related Interests | female 18-24 | female 25-34 | female 35-44 | female 45-54 | female 55+ | male 18-24 | male 25-34 | male 35-44 | male 45-54 | male 55+ | Total Male | Total Female | Grand Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Hyundai Tucson (vehicle) | 19,300 | 84,700 | 100,600 | 93,600 | 251,100 | 44,100 | 223,900 | 236,800 | 165,800 | 308,500 | 979,100 | 549,300 | 1,528,400 |
| Hyundai Sonata (vehicle) | 20,800 | 79,400 | 95,200 | 91,200 | 264,000 | 36,600 | 187,200 | 193,500 | 142,600 | 277,300 | 837,200 | 550,600 | 1,387,800 |
| Hyundai Santa Fe (vehicle) | 27,600 | 114,400 | 135,700 | 126,000 | 322,100 | 43,500 | 238,300 | 264,300 | 206,700 | 413,800 | 1,166,600 | 725,800 | 1,892,400 |
| Hyundai Elantra (vehicle) | 27,400 | 90,700 | 98,700 | 84,400 | 209,800 | 48,900 | 233,700 | 226,200 | 153,500 | 267,000 | 929,300 | 511,000 | 1,440,300 |
Premium and luxury brands
Luxury and performance oriented interests are large enough to be used as standalone prospecting segments. “Luxury vehicle” covers 21.6% of the U.S. Meta Universe (54.6M). “Sports car” reaches 14.9% (37.7M). Brand interests like Porsche and Ferrari remain significant at scale, and ultra luxury model interests (Rolls-Royce Ghost, Bugatti Veyron) offer niche context when you need a tighter filter.
| Other Luxury and Premium Interests | female 18-24 | female 25-34 | female 35-44 | female 45-54 | female 55+ | male 18-24 | male 25-34 | male 35-44 | male 45-54 | male 55+ | Total Male | Total Female | Grand Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Luxury vehicle (vehicles) | 1,000,000 | 4,600,000 | 5,400,000 | 4,900,000 | 10,500,000 | 1,400,000 | 6,100,000 | 6,600,000 | 5,200,000 | 8,900,000 | 28,200,000 | 26,400,000 | 54,600,000 |
| Sports car (vehicle) | 1,500,000 | 3,300,000 | 3,000,000 | 2,300,000 | 4,000,000 | 2,500,000 | 6,200,000 | 5,100,000 | 3,800,000 | 6,000,000 | 23,600,000 | 14,100,000 | 37,700,000 |
| Lamborghini (vehicles) | 1,700,000 | 3,400,000 | 2,800,000 | 1,800,000 | 2,700,000 | 2,600,000 | 5,500,000 | 3,800,000 | 2,500,000 | 3,000,000 | 17,400,000 | 12,400,000 | 29,800,000 |
| Ferrari (vehicles) | 2,400,000 | 4,600,000 | 3,600,000 | 2,300,000 | 3,300,000 | 3,200,000 | 6,700,000 | 4,500,000 | 2,700,000 | 3,600,000 | 20,700,000 | 16,200,000 | 36,900,000 |
| Porsche (vehicles) | 2,600,000 | 5,200,000 | 4,200,000 | 2,900,000 | 4,800,000 | 3,600,000 | 7,600,000 | 5,300,000 | 3,500,000 | 5,000,000 | 25,000,000 | 19,700,000 | 44,700,000 |
| Jaguar Cars (vehicle) | 358,000 | 960,400 | 994,200 | 748,100 | 1,600,000 | 657,500 | 2,100,000 | 1,900,000 | 1,400,000 | 2,200,000 | 8,257,500 | 4,660,700 | 12,918,200 |
| Koenigsegg (vehicles) | 11,500 | 50,900 | 78,700 | 75,500 | 278,300 | 33,500 | 149,700 | 170,500 | 137,000 | 284,400 | 775,100 | 494,900 | 1,270,000 |
| Maserati Quattroporte (vehicle) | 77,000 | 204,700 | 176,100 | 98,200 | 135,100 | 83,700 | 190,300 | 158,200 | 98,700 | 141,800 | 672,700 | 691,100 | 1,363,800 |
| McLaren F1 (vehicle) | 22,400 | 66,600 | 60,500 | 46,400 | 71,600 | 70,800 | 222,700 | 196,100 | 125,900 | 158,500 | 774,000 | 267,500 | 1,041,500 |
| Rolls-Royce Ghost (vehicle) | 18,300 | 45,600 | 62,400 | 59,700 | 216,300 | 48,500 | 171,000 | 172,800 | 133,100 | 306,800 | 832,200 | 402,300 | 1,234,500 |
| Bugatti Veyron (vehicle) | 96,300 | 150,900 | 162,200 | 140,100 | 251,100 | 65,600 | 372,000 | 377,000 | 271,100 | 355,500 | 1,441,200 | 800,600 | 2,241,800 |
| Bentley (vehicles) | 407,700 | 1,100,000 | 1,100,000 | 836,200 | 1,700,000 | 760,700 | 2,300,000 | 1,900,000 | 1,400,000 | 2,200,000 | 8,560,700 | 5,143,900 | 13,704,600 |
| Aston Martin (vehicles) | 906,400 | 2,000,000 | 1,700,000 | 1,100,000 | 1,700,000 | 1,400,000 | 3,400,000 | 2,500,000 | 1,600,000 | 2,400,000 | 11,300,000 | 7,406,400 | 18,706,400 |
| Muscle car (vehicle) | 499,000 | 814,100 | 722,500 | 605,700 | 1,400,000 | 1,200,000 | 2,800,000 | 2,500,000 | 2,200,000 | 4,300,000 | 13,000,000 | 4,041,300 | 17,041,300 |
Other auto interests
These interests work well as broad intent layers. “Automobiles” reaches 28.8% of the U.S. Meta Universe (72.6M). EV intent is also large: “Electric vehicle” reaches 17.6% (44.5M). Use these as scalable prospecting pools, then qualify with creative and landing page context.
| Other Auto Interests | female 18-24 | female 25-34 | female 35-44 | female 45-54 | female 55+ | male 18-24 | male 25-34 | male 35-44 | male 45-54 | male 55+ | Total Male | Total Female | Grand Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Automobiles (vehicles) | 1,300,000 | 6,600,000 | 7,400,000 | 6,400,000 | 13,300,000 | 2,000,000 | 8,500,000 | 8,700,000 | 6,900,000 | 11,500,000 | 37,600,000 | 35,000,000 | 72,600,000 |
| Sedan (automobile) | 1,600,000 | 3,600,000 | 3,300,000 | 2,600,000 | 4,900,000 | 2,500,000 | 6,200,000 | 5,100,000 | 3,700,000 | 5,800,000 | 23,300,000 | 16,000,000 | 39,300,000 |
| Crossover (automobile) | 156,200 | 820,900 | 1,000,000 | 903,500 | 2,000,000 | 253,200 | 1,400,000 | 1,600,000 | 1,300,000 | 2,200,000 | 6,753,200 | 4,880,600 | 11,633,800 |
| Compact car (vehicle) | 70,900 | 381,600 | 527,300 | 542,200 | 1,200,000 | 162,400 | 955,100 | 1,200,000 | 1,000,000 | 1,800,000 | 5,117,500 | 2,722,000 | 7,839,500 |
| Electric vehicle (vehicle) | 1,700,000 | 3,900,000 | 3,700,000 | 3,000,000 | 6,500,000 | 2,600,000 | 6,400,000 | 5,500,000 | 4,100,000 | 7,100,000 | 25,700,000 | 18,800,000 | 44,500,000 |
| Hybrids (vehicle) | 429,600 | 1,600,000 | 1,900,000 | 1,700,000 | 3,800,000 | 726,800 | 2,600,000 | 2,700,000 | 2,200,000 | 4,000,000 | 12,226,800 | 9,429,600 | 21,656,400 |
| Hatchback (vehicle) | 285,800 | 922,800 | 1,100,000 | 1,000,000 | 2,200,000 | 529,600 | 2,100,000 | 2,200,000 | 1,800,000 | 2,900,000 | 9,529,600 | 5,508,600 | 15,038,200 |
Motorcycles
Motorcycle audiences are large and often skew male, but still provide broad reach: “Motorcycles” reaches 16.1% of the U.S. Meta Universe (40.7M). Brand interests like Harley-Davidson and Yamaha are also sizable, making this a practical category for both retail and aftermarket offers.
| Other Moto Interests | female 18-24 | female 25-34 | female 35-44 | female 45-54 | female 55+ | male 18-24 | male 25-34 | male 35-44 | male 45-54 | male 55+ | Total Male | Total Female | Grand Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Motorcycling (vehicles) | 2,200,000 | 3,700,000 | 2,600,000 | 1,600,000 | 2,200,000 | 3,200,000 | 6,300,000 | 3,800,000 | 2,500,000 | 3,700,000 | 19,500,000 | 12,300,000 | 31,800,000 |
| Motorcycles (vehicles) | 705,900 | 2,700,000 | 2,900,000 | 2,700,000 | 6,300,000 | 1,400,000 | 5,600,000 | 5,600,000 | 4,600,000 | 8,200,000 | 25,400,000 | 15,305,900 | 40,705,900 |
| Triumph Motorcycles Ltd (vehicle) | 1,500,000 | 2,300,000 | 1,400,000 | 851,700 | 1,100,000 | 2,300,000 | 3,900,000 | 2,200,000 | 1,400,000 | 2,000,000 | 11,800,000 | 7,151,700 | 18,951,700 |
| Yamaha Motor Company (vehicle) | 2,000,000 | 3,000,000 | 1,900,000 | 1,100,000 | 1,400,000 | 2,900,000 | 5,200,000 | 3,000,000 | 1,900,000 | 2,600,000 | 15,600,000 | 9,400,000 | 25,000,000 |
| Yamaha YZF-R6 (vehicle) | 1,600,000 | 2,300,000 | 1,400,000 | 788,700 | 885,200 | 2,300,000 | 3,900,000 | 2,100,000 | 1,200,000 | 1,600,000 | 11,100,000 | 6,973,900 | 18,073,900 |
| Yamaha YZF-R15 (vehicle) | 56,400 | 75,600 | 56,100 | 37,100 | 34,900 | 127,400 | 231,000 | 126,400 | 85,900 | 90,200 | 660,900 | 260,100 | 921,000 |
| Yamaha YZF-R1 (vehicle) | 9,700 | 27,300 | 32,200 | 31,600 | 84,300 | 73,500 | 333,300 | 408,000 | 400,600 | 884,900 | 2,100,300 | 185,100 | 2,285,400 |
| Harley-Davidson (vehicles) | 2,100,000 | 3,400,000 | 2,500,000 | 1,700,000 | 2,700,000 | 3,000,000 | 6,100,000 | 4,000,000 | 2,800,000 | 4,500,000 | 20,400,000 | 12,400,000 | 32,800,000 |
| Kawasaki motorcycles (vehicle) | 2,000,000 | 3,100,000 | 2,000,000 | 1,200,000 | 1,500,000 | 3,000,000 | 5,500,000 | 3,300,000 | 2,100,000 | 3,000,000 | 16,900,000 | 9,800,000 | 26,700,000 |
| Scooters (vehicle) | 1,800,000 | 3,000,000 | 2,200,000 | 1,500,000 | 2,600,000 | 2,600,000 | 4,900,000 | 2,800,000 | 1,900,000 | 2,700,000 | 14,900,000 | 11,100,000 | 26,000,000 |
| Ducati (vehicles) | 1,800,000 | 2,700,000 | 1,600,000 | 911,900 | 1,100,000 | 2,600,000 | 4,500,000 | 2,500,000 | 1,500,000 | 2,100,000 | 13,200,000 | 8,111,900 | 21,311,900 |
Commercial transport
Commercial vehicle related interests are smaller than consumer auto segments, but still meaningful for B2B offers. “Commercial vehicle” reaches 8.0% of the U.S. Meta Universe (20.1M), and “Semi-trailer truck” reaches 4.8% (12.1M).
| Other Commercial Interests | female 18-24 | female 25-34 | female 35-44 | female 45-54 | female 55+ | male 18-24 | male 25-34 | male 35-44 | male 45-54 | male 55+ | Total Male | Total Female | Grand Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Commercial vehicle (vehicle) | 173,400 | 964,800 | 1,200,000 | 1,300,000 | 2,900,000 | 445,700 | 2,700,000 | 3,200,000 | 2,700,000 | 4,500,000 | 13,545,700 | 6,538,200 | 20,083,900 |
| Light commercial vehicle (vehicle) | 3,100 | 40,100 | 45,500 | 45,000 | 108,800 | 9,100 | 87,300 | 123,400 | 111,200 | 182,000 | 513,000 | 242,500 | 755,500 |
| Truck classification (vehicles) | 79,000 | 403,900 | 457,700 | 414,600 | 946,500 | 164,700 | 884,600 | 1,100,000 | 920,300 | 1,400,000 | 4,469,600 | 2,301,700 | 6,771,300 |
| Iveco (vehicles) | 277,400 | 334,500 | 196,500 | 119,400 | 157,900 | 503,400 | 759,400 | 430,200 | 280,300 | 328,300 | 2,301,600 | 1,085,700 | 3,387,300 |
| Volvo Trucks (vehicles) | 448,400 | 851,400 | 720,600 | 523,800 | 896,100 | 861,100 | 1,900,000 | 1,500,000 | 1,100,000 | 1,600,000 | 6,961,100 | 3,440,300 | 10,401,400 |
| Semi-trailer truck (vehicle) | 196,100 | 659,400 | 668,500 | 604,800 | 1,400,000 | 511,700 | 1,900,000 | 1,900,000 | 1,600,000 | 2,700,000 | 8,611,700 | 3,528,800 | 12,140,500 |
| Monster truck (vehicle) | 125,400 | 587,100 | 605,600 | 407,200 | 926,600 | 155,500 | 702,400 | 810,600 | 607,900 | 999,300 | 3,275,700 | 2,651,900 | 5,927,600 |
| Isuzu D-Max (vehicle) | 13,200 | 38,100 | 38,800 | 25,700 | 31,200 | 77,300 | 220,000 | 171,000 | 123,800 | 150,900 | 743,000 | 147,000 | 890,000 |
Other auto related interests
These interests often indicate downstream intent, ownership, or maintenance behavior. “Automobile repair shop” reaches 17.5% (44.1M). “Car tuning” and “Child safety seat” can be used as contextual qualifiers for aftermarket offers or family oriented positioning. EV infrastructure interest (“Charging station”) can be used as an additional filter on top of broad EV segments.
| Other Related Interests | female 18-24 | female 25-34 | female 35-44 | female 45-54 | female 55+ | male 18-24 | male 25-34 | male 35-44 | male 45-54 | male 55+ | Total Male | Total Female | Grand Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Motor oil (vehicles) | 126,300 | 446,700 | 497,100 | 452,000 | 947,400 | 244,700 | 968,000 | 1,000,000 | 852,300 | 1,500,000 | 4,565,000 | 2,469,500 | 7,034,500 |
| Charging station (vehicles) | 40,800 | 205,300 | 243,100 | 224,700 | 626,500 | 53,900 | 316,600 | 443,300 | 373,000 | 811,800 | 1,998,600 | 1,340,400 | 3,339,000 |
| AutoTrader.com (vehicles) | 70,700 | 321,700 | 540,200 | 532,200 | 965,500 | 203,800 | 915,500 | 1,300,000 | 1,100,000 | 1,900,000 | 5,419,300 | 2,430,300 | 7,849,600 |
| Automobile repair shop (vehicles) | 2,300,000 | 4,500,000 | 3,600,000 | 2,700,000 | 4,900,000 | 3,100,000 | 7,200,000 | 5,600,000 | 4,000,000 | 6,200,000 | 26,100,000 | 18,000,000 | 44,100,000 |
| Auto maintenance (vehicles) | 607,300 | 1,300,000 | 1,100,000 | 786,100 | 1,600,000 | 1,300,000 | 3,000,000 | 2,400,000 | 1,800,000 | 3,100,000 | 11,600,000 | 5,393,400 | 16,993,400 |
| Child safety seat (vehicles) | 1,900,000 | 5,600,000 | 4,200,000 | 2,100,000 | 3,200,000 | 2,200,000 | 4,000,000 | 2,500,000 | 1,300,000 | 1,400,000 | 11,400,000 | 17,000,000 | 28,400,000 |
| Car tuning (vehicles) | 1,500,000 | 2,900,000 | 2,300,000 | 1,500,000 | 1,900,000 | 2,500,000 | 5,300,000 | 3,800,000 | 2,500,000 | 3,400,000 | 17,500,000 | 10,100,000 | 27,600,000 |