Werbeinteressen für
Facebook- und Instagram-Targeting-Interessen zu , mit Zielgruppengrößen aus der Meta-API.
Interessen gefunden
Quelle: Meta API
| Interessenname | Zielgruppengröße | Kategoriepfad | Thema |
|---|---|---|---|
| Aesop | 1.244.699 - 1.463.767 | People | |
| Australis Cosmetics | 66.802 - 78.560 | Fitness and wellness | |
| BH Cosmetics | 1.846.613 - 2.171.618 | Fitness and wellness | |
| Beauty stores | 850.340 - 1.000.000 | ||
| Benefit Cosmetics | 35.226.289 - 41.426.116 | Business and industry | |
| Bobbi Brown | 13.553.792 - 15.939.260 | People | |
| Buxom Cosmetics | 177.108 - 208.280 | Fitness and wellness | |
| Eyes Lips Face | 5.272.554 - 6.200.524 | Fitness and wellness | |
| Foundation (cosmetics) | 22.853.727 - 26.875.983 | Shopping and fashion | |
| GOSH Cosmetics | 4.319 - 5.080 | Fitness and wellness | |
| Hourglass Cosmetics | 239.801 - 282.007 | Fitness and wellness | |
| IMAN Cosmetics | 70.960 - 83.450 | Fitness and wellness | |
| Innisfree (cosmetics brand) | 6.619.958 - 7.785.071 | Business and industry | |
| It Cosmetics | 3.210.584 - 3.775.647 | Fitness and wellness | |
| Jafra Cosmetics | 1.669.838 - 1.963.730 | Business and industry | |
| Jouer Cosmetics | 81.896 - 96.310 | Fitness and wellness | |
| Korea Cosmetics | 11.649 - 13.700 | Fitness and wellness | |
| Lakmé Cosmetics | 4.835.739 - 5.686.830 | Business and industry | |
| Laura Mercier Cosmetics | 2.866.276 - 3.370.741 | Shopping and fashion | |
| MAC Cosmetics | 104.376.852 - 122.747.179 | Business and industry | |
| Make-Up Designory Schools | 30.212 - 35.530 | Fitness and wellness | |
| Merrez'ca cosmetics | 250.195 - 294.230 | ||
| NABLA Cosmetics | 128.670 - 151.316 | ||
| NARS Cosmetics | 43.502.715 - 51.159.193 | ||
| NYX Cosmetics | 8.670.680 - 10.196.720 | Business and industry | |
| Neve Cosmetics | 163.656 - 192.460 | Fitness and wellness | |
| Origins (cosmetics) | 3.722.165 - 4.377.267 | Business and industry | |
| Pretty&Cute - Korean and Japanese Cosmetics & Skin care | 9.179 - 10.795 | Fitness and wellness | |
| Revlon | 28.773.107 - 33.837.174 | Business and industry | |
| Rituals Cosmetics | 1.716.274 - 2.018.339 | Fitness and wellness | |
| Smashbox Cosmetics | 1.923.527 - 2.262.068 | Fitness and wellness | |
| Sugarpill Cosmetics | 95.490 - 112.297 | Fitness and wellness | |
| Too Faced Cosmetics | 6.337.521 - 7.452.925 | Fitness and wellness | |
| Ultima II (cosmetics line) | 380.025 - 446.910 | Shopping and fashion | |
| Urban Decay (cosmetics) | 40.259.551 - 47.345.233 | Business and industry | |
| Vichy cosmetics | 11.258 - 13.240 | Shopping and fashion | |
| Wardah Cosmetics | 5.497.076 - 6.464.562 | Fitness and wellness | |
| Youngblood Mineral Cosmetics | 17.670 - 20.780 | Fitness and wellness | |
| Za Cosmetics - Hong Kong | 5.153 - 6.060 | Fitness and wellness | |
| stila cosmetics | 136.412 - 160.421 | Fitness and wellness | |
| tarte cosmetics | 4.904.163 - 5.767.296 | Fitness and wellness | |
| Cosmetics | 954.268.571 - 1.122.219.840 | Shopping and fashion |
Weitere Interessen finden
Durchsuchen Sie Tausende von targetierbaren Interessen mit Echtzeit-Zielgruppendaten.
Interest Explorer öffnen-Interessen in Ihren Kampagnen nutzen
- Mehrere verwandte Interessen kombinieren, um breitere, aber relevante Zielgruppen zu erstellen
- Verschiedene Interessenkombinationen testen, um die reaktionsfähigsten Segmente zu finden
- Interessenschichtung mit Demografie und Verhaltensweisen für präzises Targeting verwenden
- Mit breiteren Interessen beginnen und anhand von Leistungsdaten einschränken
Überlegungen zur Zielgruppengröße
Die angezeigten Zielgruppengrößen sind Näherungswerte aus der Meta-API. Kleinere Zielgruppen bieten möglicherweise präziseres Targeting, können aber die Reichweite einschränken, während größere Zielgruppen mehr Exposition bieten, aber weniger spezifisch sein können.