Análisis en Instagram de @modelfit
Periodo analizado: 21/12/2015 al 20/01/2016
Actualizado el 20 de enero de 2016 11:23 +0100
586 Publicaciones
425 Seguidos
39002 Seguidores
Historial de followers
Top potential contributors
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angelcandices 7784674
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irinashayk 4795983
-
chrissyteigen 4788336
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phoebejtonkin 2328046
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pacsun 1696224
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victoriassecretsport 1457826
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barbiestyle 1241907
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virginradiolebanon 1233499
37377 followers analizados
Porcentaje de followers con perfil público y privado
37377 followers analizados
Género de followers
37377 followers analizados
Mapa de algunas fotos de los seguidores
2483 followers analizados
Procedencia de los seguidores
20330
Perfiles públicos
2483
Analizados
805
Localizados
58
Paises
Localizaciones | Porcentaje (%) | Seguidores |
---|---|---|
United States | 50.2 % | 404 |
United Kingdom | 8.2 % | 66 |
España | 5.7 % | 46 |
Australia | 4.0 % | 32 |
Italy | 3.4 % | 27 |
France | 3.2 % | 26 |
Other | 27.7 % | 230 |
Localizaciones | Porcentaje (%) | Seguidores |
---|---|---|
United States | 50.2 % | 404 |
New York | 50.7 % | 205 |
New York County | 95.1 % | 195 |
New York | 100.0 % | 195 |
Nassau County | 2.0 % | 4 |
Garden City | 50.0 % | 2 |
Great Neck | 25.0 % | 1 |
Old Bethpage | 25.0 % | 1 |
Queens County | 1.0 % | 2 |
Onondaga County | 0.5 % | 1 |
Syracuse | 100.0 % | 1 |
Suffolk County | 0.5 % | 1 |
Cold Spring Harbor | 100.0 % | 1 |
Ulster County | 0.5 % | 1 |
Wallkill | 100.0 % | 1 |
Westchester County | 0.5 % | 1 |
Mamaroneck | 100.0 % | 1 |
California | 21.3 % | 86 |
Los Angeles County | 51.2 % | 44 |
Los Angeles | 59.1 % | 26 |
Santa Monica | 18.2 % | 8 |
Redondo Beach | 6.8 % | 3 |
Acton | 2.3 % | 1 |
Long Beach | 2.3 % | 1 |
Monterey Park | 2.3 % | 1 |
Other | 2.3 % | 1 |
Pasadena | 2.3 % | 1 |
Pomona | 2.3 % | 1 |
Rancho Palos Verdes | 2.3 % | 1 |
San Francisco County | 14.0 % | 12 |
San Francisco | 100.0 % | 12 |
San Diego County | 10.5 % | 9 |
San Diego | 55.6 % | 5 |
Encinitas | 33.3 % | 3 |
Santee | 11.1 % | 1 |
Santa Clara County | 5.8 % | 5 |
Santa Clara | 40.0 % | 2 |
Cupertino | 20.0 % | 1 |
Mountain View | 20.0 % | 1 |
San Jose | 20.0 % | 1 |
Orange County | 4.7 % | 4 |
Newport Beach | 50.0 % | 2 |
Laguna Beach | 25.0 % | 1 |
Rancho Santa Margarita | 25.0 % | 1 |
Marin County | 2.3 % | 2 |
Novato | 50.0 % | 1 |
San Rafael | 50.0 % | 1 |
Riverside County | 2.3 % | 2 |
Corona | 50.0 % | 1 |
Riverside | 50.0 % | 1 |
Contra Costa County | 1.2 % | 1 |
Lafayette | 100.0 % | 1 |
El Dorado County | 1.2 % | 1 |
South Lake Tahoe | 100.0 % | 1 |
Fresno County | 1.2 % | 1 |
Fresno | 100.0 % | 1 |
Napa County | 1.2 % | 1 |
Calistoga | 100.0 % | 1 |
San Luis Obispo County | 1.2 % | 1 |
San Luis Obispo | 100.0 % | 1 |
Santa Barbara County | 1.2 % | 1 |
Santa Barbara | 100.0 % | 1 |
Sonoma County | 1.2 % | 1 |
Santa Rosa | 100.0 % | 1 |
Ventura County | 1.2 % | 1 |
Ventura | 100.0 % | 1 |
Florida | 4.2 % | 17 |
Miami-Dade County | 64.7 % | 11 |
Miami Beach | 54.5 % | 6 |
Miami | 27.3 % | 3 |
Doral | 9.1 % | 1 |
El Portal | 9.1 % | 1 |
Palm Beach County | 11.8 % | 2 |
Boca Raton | 50.0 % | 1 |
Delray Beach | 50.0 % | 1 |
Escambia County | 5.9 % | 1 |
Pensacola Beach | 100.0 % | 1 |
Leon County | 5.9 % | 1 |
Tallahassee | 100.0 % | 1 |
Orange County | 5.9 % | 1 |
Kissimmee | 100.0 % | 1 |
Pinellas County | 5.9 % | 1 |
Clearwater | 100.0 % | 1 |
Texas | 3.2 % | 13 |
Harris County | 38.5 % | 5 |
Houston | 100.0 % | 5 |
Dallas County | 23.1 % | 3 |
Dallas | 100.0 % | 3 |
Travis County | 23.1 % | 3 |
Austin | 100.0 % | 3 |
Bexar County | 7.7 % | 1 |
San Antonio | 100.0 % | 1 |
McLennan County | 7.7 % | 1 |
Waco | 100.0 % | 1 |
Illinois | 2.5 % | 10 |
Cook County | 90.0 % | 9 |
Chicago | 100.0 % | 9 |
Madison County | 10.0 % | 1 |
Wood River | 100.0 % | 1 |
District of Columbia | 1.5 % | 6 |
Washington | 100.0 % | 6 |
Massachusetts | 1.5 % | 6 |
Suffolk County | 66.7 % | 4 |
Boston | 100.0 % | 4 |
Dukes County | 16.7 % | 1 |
Oak Bluffs | 100.0 % | 1 |
Essex County | 16.7 % | 1 |
Marblehead | 100.0 % | 1 |
New Jersey | 1.5 % | 6 |
Bergen County | 33.3 % | 2 |
Mahwah | 50.0 % | 1 |
Wyckoff | 50.0 % | 1 |
Cape May County | 33.3 % | 2 |
Cape May | 50.0 % | 1 |
Ocean City | 50.0 % | 1 |
Burlington County | 16.7 % | 1 |
Burlington | 100.0 % | 1 |
Mercer County | 16.7 % | 1 |
Princeton | 100.0 % | 1 |
Pennsylvania | 1.5 % | 6 |
Philadelphia County | 50.0 % | 3 |
Philadelphia | 100.0 % | 3 |
Allegheny County | 33.3 % | 2 |
Pittsburgh | 100.0 % | 2 |
Centre County | 16.7 % | 1 |
State College | 100.0 % | 1 |
Missouri | 1.2 % | 5 |
Jackson County | 40.0 % | 2 |
Kansas City | 100.0 % | 2 |
St. Louis County | 40.0 % | 2 |
University City | 100.0 % | 2 |
Boone County | 20.0 % | 1 |
Columbia | 100.0 % | 1 |
North Carolina | 1.0 % | 4 |
Durham County | 25.0 % | 1 |
Durham | 100.0 % | 1 |
Mecklenburg County | 25.0 % | 1 |
Charlotte | 100.0 % | 1 |
New Hanover County | 25.0 % | 1 |
Wilmington | 100.0 % | 1 |
Orange County | 25.0 % | 1 |
Carrboro | 100.0 % | 1 |
Washington | 1.0 % | 4 |
King County | 100.0 % | 4 |
Seattle | 50.0 % | 2 |
Bellevue | 25.0 % | 1 |
Ravensdale | 25.0 % | 1 |
Connecticut | 0.7 % | 3 |
New Haven County | 66.7 % | 2 |
East Haven | 50.0 % | 1 |
Hamden | 50.0 % | 1 |
Fairfield County | 33.3 % | 1 |
Fairfield | 100.0 % | 1 |
Ohio | 0.7 % | 3 |
Cuyahoga County | 33.3 % | 1 |
Cleveland | 100.0 % | 1 |
Hamilton County | 33.3 % | 1 |
Cincinnati | 100.0 % | 1 |
Summit County | 33.3 % | 1 |
North Canton | 100.0 % | 1 |
Oregon | 0.7 % | 3 |
Multnomah County | 100.0 % | 3 |
Portland | 100.0 % | 3 |
Colorado | 0.5 % | 2 |
Denver County | 50.0 % | 1 |
Denver | 100.0 % | 1 |
Jefferson County | 50.0 % | 1 |
Lakewood | 100.0 % | 1 |
Georgia | 0.5 % | 2 |
DeKalb County | 50.0 % | 1 |
Chamblee | 100.0 % | 1 |
Fulton County | 50.0 % | 1 |
Atlanta | 100.0 % | 1 |
Louisiana | 0.5 % | 2 |
Orleans Parish | 100.0 % | 2 |
New Orleans | 100.0 % | 2 |
Maryland | 0.5 % | 2 |
Other | 50.0 % | 1 |
Baltimore | 100.0 % | 1 |
St. Mary's County | 50.0 % | 1 |
Leonardtown | 100.0 % | 1 |
Michigan | 0.5 % | 2 |
Kent County | 50.0 % | 1 |
East Grand Rapids | 100.0 % | 1 |
Wayne County | 50.0 % | 1 |
Detroit | 100.0 % | 1 |
Nevada | 0.5 % | 2 |
Clark County | 100.0 % | 2 |
Las Vegas | 100.0 % | 2 |
South Carolina | 0.5 % | 2 |
Berkeley County | 50.0 % | 1 |
Charleston | 100.0 % | 1 |
Pickens County | 50.0 % | 1 |
Clemson | 100.0 % | 1 |
Tennessee | 0.5 % | 2 |
Davidson County | 50.0 % | 1 |
Nashville | 100.0 % | 1 |
Hamilton County | 50.0 % | 1 |
Chattanooga | 100.0 % | 1 |
Virginia | 0.5 % | 2 |
Fairfax County | 50.0 % | 1 |
Fairfax | 100.0 % | 1 |
Other | 50.0 % | 1 |
Virginia Beach | 100.0 % | 1 |
Wisconsin | 0.5 % | 2 |
Portage County | 50.0 % | 1 |
Stevens Point | 100.0 % | 1 |
Waukesha County | 50.0 % | 1 |
Hartland | 100.0 % | 1 |
Hawaii | 0.2 % | 1 |
Maui County | 100.0 % | 1 |
Paia | 100.0 % | 1 |
Iowa | 0.2 % | 1 |
Story County | 100.0 % | 1 |
Ames | 100.0 % | 1 |
Kentucky | 0.2 % | 1 |
Fayette County | 100.0 % | 1 |
Lexington | 100.0 % | 1 |
Minnesota | 0.2 % | 1 |
Ramsey County | 100.0 % | 1 |
New Brighton | 100.0 % | 1 |
Rhode Island | 0.2 % | 1 |
Providence County | 100.0 % | 1 |
Lincoln | 100.0 % | 1 |
South Dakota | 0.2 % | 1 |
Pennington County | 100.0 % | 1 |
Rapid City | 100.0 % | 1 |
Vermont | 0.2 % | 1 |
Chittenden County | 100.0 % | 1 |
Burlington | 100.0 % | 1 |
United Kingdom | 8.2 % | 66 |
England | 93.9 % | 62 |
Greater London | 87.1 % | 54 |
London | 96.3 % | 52 |
Barnet | 1.9 % | 1 |
Richmond | 1.9 % | 1 |
Cambridgeshire | 1.6 % | 1 |
Cambridge | 100.0 % | 1 |
Essex | 1.6 % | 1 |
Boreham | 100.0 % | 1 |
Hampshire | 1.6 % | 1 |
Winchester | 100.0 % | 1 |
Kent | 1.6 % | 1 |
Broadstairs | 100.0 % | 1 |
Milton Keynes | 1.6 % | 1 |
Shropshire | 1.6 % | 1 |
Bridgnorth | 100.0 % | 1 |
Torbay | 1.6 % | 1 |
Brixham | 100.0 % | 1 |
West Yorkshire | 1.6 % | 1 |
Leeds | 100.0 % | 1 |
Scotland | 6.1 % | 4 |
Glasgow City | 75.0 % | 3 |
Glasgow | 100.0 % | 3 |
Edinburgh | 25.0 % | 1 |
Edinburgh | 100.0 % | 1 |
España | 5.7 % | 46 |
Catalunya | 41.3 % | 19 |
Barcelona | 89.5 % | 17 |
Barcelona | 88.2 % | 15 |
Sant Andreu de Llavaneres | 5.9 % | 1 |
Vilassar de Mar | 5.9 % | 1 |
Lleida | 5.3 % | 1 |
Les Borges Blanques | 100.0 % | 1 |
Tarragona | 5.3 % | 1 |
Reus | 100.0 % | 1 |
Illes Balears | 15.2 % | 7 |
Sant Josep de sa Talaia | 42.9 % | 3 |
Palma | 28.6 % | 2 |
Fornells | 14.3 % | 1 |
Llucmajor | 14.3 % | 1 |
Andalucía | 10.9 % | 5 |
Málaga | 40.0 % | 2 |
Marbella | 100.0 % | 2 |
Almería | 20.0 % | 1 |
Almería | 100.0 % | 1 |
Córdoba | 20.0 % | 1 |
Córdoba | 100.0 % | 1 |
Granada | 20.0 % | 1 |
Almuñécar | 100.0 % | 1 |
Comunidad de Madrid | 8.7 % | 4 |
Madrid | 100.0 % | 4 |
Madrid | 100.0 % | 4 |
Comunidad Valenciana | 6.5 % | 3 |
Valencia | 66.7 % | 2 |
València | 100.0 % | 2 |
Alicante | 33.3 % | 1 |
Torrevieja | 100.0 % | 1 |
Galicia | 6.5 % | 3 |
Pontevedra | 66.7 % | 2 |
Vigo | 100.0 % | 2 |
A Coruña | 33.3 % | 1 |
Ames | 100.0 % | 1 |
Canarias | 4.3 % | 2 |
Las Palmas | 100.0 % | 2 |
Las Palmas de Gran Canaria | 50.0 % | 1 |
San Bartolomé de Tirajana | 50.0 % | 1 |
Cataluña | 2.2 % | 1 |
Barcelona | 100.0 % | 1 |
Villanueva y Geltrú | 100.0 % | 1 |
La Rioja | 2.2 % | 1 |
Torremontalbo | 100.0 % | 1 |
Navarra | 2.2 % | 1 |
Pamplona | 100.0 % | 1 |
Australia | 4.0 % | 32 |
New South Wales | 53.1 % | 17 |
Port Jackson | 58.8 % | 10 |
Matraville | 11.8 % | 2 |
Bundanoon | 5.9 % | 1 |
Minto | 5.9 % | 1 |
Other | 5.9 % | 1 |
Roselands | 5.9 % | 1 |
Saint Ives | 5.9 % | 1 |
Victoria | 34.4 % | 11 |
Melbourne | 72.7 % | 8 |
Altona | 9.1 % | 1 |
Coburg North | 9.1 % | 1 |
Coldstream | 9.1 % | 1 |
South Australia | 6.3 % | 2 |
Adelaide | 50.0 % | 1 |
Salisbury | 50.0 % | 1 |
Western Australia | 6.3 % | 2 |
Burns Beach | 50.0 % | 1 |
Cottesloe | 50.0 % | 1 |
Italy | 3.4 % | 27 |
Lombardia | 29.6 % | 8 |
Città Metropolitana di Milano | 62.5 % | 5 |
Milano | 80.0 % | 4 |
Legnano | 20.0 % | 1 |
Provincia di Bergamo | 12.5 % | 1 |
Provincia di Brescia | 12.5 % | 1 |
Brescia | 100.0 % | 1 |
Provincia di Monza e della Brianza | 12.5 % | 1 |
Monza | 100.0 % | 1 |
Sicilia | 11.1 % | 3 |
Provincia di Catania | 33.3 % | 1 |
Acireale | 100.0 % | 1 |
Provincia di Palermo | 33.3 % | 1 |
Provincia di Ragusa | 33.3 % | 1 |
Toscana | 11.1 % | 3 |
Città Metropolitana di Firenze | 100.0 % | 3 |
Firenze | 100.0 % | 3 |
Veneto | 11.1 % | 3 |
Provincia di Padova | 66.7 % | 2 |
Other | 50.0 % | 1 |
Padova | 50.0 % | 1 |
Città Metropolitana di Venezia | 33.3 % | 1 |
Venezia | 100.0 % | 1 |
Campania | 7.4 % | 2 |
Provincia di Caserta | 50.0 % | 1 |
Caserta | 100.0 % | 1 |
Provincia di Salerno | 50.0 % | 1 |
Nocera Inferiore | 100.0 % | 1 |
Emilia-Romagna | 7.4 % | 2 |
Provincia di Modena | 50.0 % | 1 |
Modena | 100.0 % | 1 |
Provincia di Ravenna | 50.0 % | 1 |
Marina di Ravenna | 100.0 % | 1 |
Lazio | 7.4 % | 2 |
Città Metropolitana di Roma | 100.0 % | 2 |
Roma | 100.0 % | 2 |
Abruzzo | 3.7 % | 1 |
Provincia di Teramo | 100.0 % | 1 |
Alba Adriatica | 100.0 % | 1 |
Friuli-Venezia Giulia | 3.7 % | 1 |
Provincia di Udine | 100.0 % | 1 |
Udine | 100.0 % | 1 |
Liguria | 3.7 % | 1 |
Città Metropolitana di Genova | 100.0 % | 1 |
Lavagna | 100.0 % | 1 |
Puglia | 3.7 % | 1 |
Provincia di Taranto | 100.0 % | 1 |
Massafra | 100.0 % | 1 |
France | 3.2 % | 26 |
Île-de-France | 84.6 % | 22 |
Paris | 100.0 % | 22 |
Paris | 100.0 % | 22 |
Provence-Alpes-Côte d'Azur | 7.7 % | 2 |
Alpes-Maritimes | 100.0 % | 2 |
Cannes | 50.0 % | 1 |
Nice | 50.0 % | 1 |
Aquitaine | 3.8 % | 1 |
Gironde | 100.0 % | 1 |
Bordeaux | 100.0 % | 1 |
Pays de la Loire | 3.8 % | 1 |
Loire-Atlantique | 100.0 % | 1 |
Saint-Sébastien-sur-Loire | 100.0 % | 1 |
Other | 27.7 % | 230 |
Brazil | 2.4 % | 19 |
Rio de Janeiro | 31.6 % | 6 |
Rio de Janeiro | 83.3 % | 5 |
Rio de Janeiro | 100.0 % | 5 |
Rio Bonito | 16.7 % | 1 |
Rio Bonito | 100.0 % | 1 |
São Paulo | 31.6 % | 6 |
São Paulo | 83.3 % | 5 |
São Paulo | 100.0 % | 5 |
Bauru | 16.7 % | 1 |
Bauru | 100.0 % | 1 |
Goiás | 10.5 % | 2 |
Aparecida de Goiânia | 50.0 % | 1 |
Aparecida de Goiânia | 100.0 % | 1 |
Goiânia | 50.0 % | 1 |
Goiânia | 100.0 % | 1 |
Minas Gerais | 5.3 % | 1 |
Lima Duarte | 100.0 % | 1 |
Lima Duarte | 100.0 % | 1 |
Paraná | 5.3 % | 1 |
Curitiba | 100.0 % | 1 |
Curitiba | 100.0 % | 1 |
Rio Grande do Norte | 5.3 % | 1 |
Natal | 100.0 % | 1 |
Natal | 100.0 % | 1 |
Rio Grande do Sul | 5.3 % | 1 |
Novo Hamburgo | 100.0 % | 1 |
Novo Hamburgo | 100.0 % | 1 |
Santa Catarina | 5.3 % | 1 |
Florianópolis | 100.0 % | 1 |
Florianópolis | 100.0 % | 1 |
Canada | 2.4 % | 19 |
Ontario | 42.1 % | 8 |
Toronto Division | 50.0 % | 4 |
Toronto | 100.0 % | 4 |
Durham Regional Municipality | 12.5 % | 1 |
Oshawa | 100.0 % | 1 |
Lanark County | 12.5 % | 1 |
Lanark | 100.0 % | 1 |
Middlesex County | 12.5 % | 1 |
London | 100.0 % | 1 |
Ottawa Division | 12.5 % | 1 |
Ottawa | 100.0 % | 1 |
Québec | 36.8 % | 7 |
Communauté-Urbaine-de-Montréal | 57.1 % | 4 |
Montréal | 100.0 % | 4 |
Champlain | 28.6 % | 2 |
Longueuil | 100.0 % | 2 |
Vaudreuil-Soulanges | 14.3 % | 1 |
Les Coteaux | 100.0 % | 1 |
British Columbia | 15.8 % | 3 |
Greater Vancouver | 100.0 % | 3 |
Delta | 33.3 % | 1 |
Langley | 33.3 % | 1 |
Vancouver | 33.3 % | 1 |
Nova Scotia | 5.3 % | 1 |
Halifax Regional Municipality | 100.0 % | 1 |
Middle Sackville | 100.0 % | 1 |
México | 1.7 % | 14 |
Distrito Federal | 42.9 % | 6 |
Ciudad de México | 100.0 % | 6 |
Quintana Roo | 28.6 % | 4 |
Bacalar | 25.0 % | 1 |
Bacalar | 100.0 % | 1 |
Benito Juárez | 25.0 % | 1 |
Cancún | 100.0 % | 1 |
Solidaridad | 25.0 % | 1 |
Playa del Carmen | 100.0 % | 1 |
Tulum | 25.0 % | 1 |
Colima | 7.1 % | 1 |
Manzanillo | 100.0 % | 1 |
Manzanillo | 100.0 % | 1 |
Jalisco | 7.1 % | 1 |
Guadalajara | 100.0 % | 1 |
Guadalajara | 100.0 % | 1 |
Querétaro | 7.1 % | 1 |
San Juan del Río | 100.0 % | 1 |
San Juan del Río | 100.0 % | 1 |
Veracruz | 7.1 % | 1 |
Xalapa | 100.0 % | 1 |
Xalapa Enríquez | 100.0 % | 1 |
Thailand | 1.2 % | 10 |
Krung Thep Maha Nakhon | 70.0 % | 7 |
Bangkok | 100.0 % | 7 |
Chang Wat Chiang Mai | 10.0 % | 1 |
Amphoe Mueang Chiang Mai | 100.0 % | 1 |
Chang Wat Chon Buri | 10.0 % | 1 |
Amphoe Bang Lamung | 100.0 % | 1 |
Tambon Pong | 100.0 % | 1 |
Chang Wat Surat Thani | 10.0 % | 1 |
Amphoe Ko Samui | 100.0 % | 1 |
Ko Samui | 100.0 % | 1 |
Greece | 1.0 % | 8 |
Egeo | 37.5 % | 3 |
Southern Aegean | 100.0 % | 3 |
Makedonia Thraki | 25.0 % | 2 |
Kentriki Makedonia | 100.0 % | 2 |
Crete | 12.5 % | 1 |
Ipiros Ditiki Makedonia | 12.5 % | 1 |
Epirus | 100.0 % | 1 |
Thessalia Sterea Ellada | 12.5 % | 1 |
Thessalia | 100.0 % | 1 |
Indonesia | 1.0 % | 8 |
Daerah Istimewa Yogyakarta | 37.5 % | 3 |
Kota Yogyakarta | 100.0 % | 3 |
Bali | 12.5 % | 1 |
Kabupaten Badung | 100.0 % | 1 |
Central Java | 12.5 % | 1 |
Sukoharjo Regency | 100.0 % | 1 |
Daerah Khusus Ibukota Jakarta | 12.5 % | 1 |
Kota Jakarta Selatan | 100.0 % | 1 |
Special Capital Region of Jakarta | 12.5 % | 1 |
North Jakarta City | 100.0 % | 1 |
Sumatera Utara | 12.5 % | 1 |
Kota Medan | 100.0 % | 1 |
South Africa | 1.0 % | 8 |
Western Cape | 50.0 % | 4 |
Cape Town | 75.0 % | 3 |
Cape Town | 100.0 % | 3 |
Overberg District Municipality | 25.0 % | 1 |
Hermanus | 100.0 % | 1 |
Gauteng | 37.5 % | 3 |
City of Johannesburg Metropolitan Municipality | 66.7 % | 2 |
Midrand | 50.0 % | 1 |
Sandton | 50.0 % | 1 |
Pretoria | 33.3 % | 1 |
Pretoria | 100.0 % | 1 |
KwaZulu-Natal | 12.5 % | 1 |
Indlovu DC | 100.0 % | 1 |
Pietermaritzburg | 100.0 % | 1 |
Germany | 0.7 % | 6 |
Berlin | 50.0 % | 3 |
Berlin | 100.0 % | 3 |
Baden-Württemberg | 16.7 % | 1 |
Karlsruhe | 100.0 % | 1 |
Heidelberg | 100.0 % | 1 |
Bayern | 16.7 % | 1 |
Oberbayern | 100.0 % | 1 |
München | 100.0 % | 1 |
Nordrhein-Westfalen | 16.7 % | 1 |
Arnsberg | 100.0 % | 1 |
Bochum | 100.0 % | 1 |
Taiwan | 0.7 % | 6 |
Taipei City | 50.0 % | 3 |
New Taipei City | 33.3 % | 2 |
Tainan City | 16.7 % | 1 |
Ireland | 0.6 % | 5 |
Dublin | 60.0 % | 3 |
Dublin City | 100.0 % | 3 |
Dublin | 100.0 % | 3 |
Galway | 20.0 % | 1 |
Galway City | 100.0 % | 1 |
Galway | 100.0 % | 1 |
Kildare | 20.0 % | 1 |
Russia | 0.6 % | 5 |
Moscow | 40.0 % | 2 |
gorod Moskva | 100.0 % | 2 |
Moskva | 100.0 % | 2 |
Respublika Tatarstan | 20.0 % | 1 |
gorod Kazan' | 100.0 % | 1 |
Kazan | 100.0 % | 1 |
Saint Petersburg | 20.0 % | 1 |
gorod Sankt-Peterburg | 100.0 % | 1 |
Sankt-Peterburg | 100.0 % | 1 |
Voronezhskaya oblast' | 20.0 % | 1 |
gorod Voronezh | 100.0 % | 1 |
Voronez | 100.0 % | 1 |
United Arab Emirates | 0.6 % | 5 |
Dubai | 60.0 % | 3 |
Dubai | 100.0 % | 3 |
Abu Dhabi | 40.0 % | 2 |
Abu Dhabi | 100.0 % | 2 |
Argentina | 0.5 % | 4 |
Buenos Aires | 50.0 % | 2 |
Lomas de Zamora | 50.0 % | 1 |
Lomas de Zamora | 100.0 % | 1 |
Malvinas Argentinas | 50.0 % | 1 |
Los Polvorines | 100.0 % | 1 |
Ciudad Autónoma de Buenos Aires | 25.0 % | 1 |
Comuna 1 | 100.0 % | 1 |
Buenos Aires | 100.0 % | 1 |
Córdoba | 25.0 % | 1 |
Capital | 100.0 % | 1 |
Córdoba | 100.0 % | 1 |
China | 0.5 % | 4 |
Beijing Shi | 25.0 % | 1 |
Beijing | 100.0 % | 1 |
Fujian Sheng | 25.0 % | 1 |
Xiamen Shi | 100.0 % | 1 |
Guangdong Sheng | 25.0 % | 1 |
Shenzhen Shi | 100.0 % | 1 |
Shanghai Shi | 25.0 % | 1 |
Shanghai | 100.0 % | 1 |
Japan | 0.5 % | 4 |
Tōkyō-to | 50.0 % | 2 |
Shibuya-ku | 50.0 % | 1 |
Sumida-ku | 50.0 % | 1 |
Okinawa Prefecture | 25.0 % | 1 |
Kitanakagusuku | 100.0 % | 1 |
Ōsaka-fu | 25.0 % | 1 |
Ōsaka-shi | 100.0 % | 1 |
New Zealand | 0.5 % | 4 |
Auckland | 75.0 % | 3 |
Auckland | 100.0 % | 3 |
Southland | 25.0 % | 1 |
Invercargill City | 100.0 % | 1 |
Invercargill | 100.0 % | 1 |
Norway | 0.5 % | 4 |
Oslo | 100.0 % | 4 |
Poland | 0.5 % | 4 |
mazowieckie | 50.0 % | 2 |
Warszawa | 100.0 % | 2 |
Warszawa | 100.0 % | 2 |
Greater Poland Voivodeship | 25.0 % | 1 |
Poznań County | 100.0 % | 1 |
Poznań | 100.0 % | 1 |
Województwo dolnośląskie | 25.0 % | 1 |
jeleniogórski | 100.0 % | 1 |
Kowary | 100.0 % | 1 |
Portugal | 0.5 % | 4 |
Beja | 25.0 % | 1 |
Odemira | 100.0 % | 1 |
Vila Nova de Milfontes | 100.0 % | 1 |
Braga | 25.0 % | 1 |
Guimarães | 100.0 % | 1 |
Faro | 25.0 % | 1 |
Albufeira | 100.0 % | 1 |
Albufeira | 100.0 % | 1 |
Setúbal | 25.0 % | 1 |
Almada | 100.0 % | 1 |
Costa da Caparica | 100.0 % | 1 |
Singapore | 0.5 % | 4 |
Other | 100.0 % | 4 |
Singapore | 100.0 % | 4 |
Chile | 0.4 % | 3 |
Región Metropolitana | 100.0 % | 3 |
Santiago | 100.0 % | 3 |
Las Condes | 66.7 % | 2 |
Santiago | 33.3 % | 1 |
Colombia | 0.4 % | 3 |
Antioquia | 33.3 % | 1 |
Medellín | 100.0 % | 1 |
Medellín | 100.0 % | 1 |
Bogotá | 33.3 % | 1 |
Bogotá | 100.0 % | 1 |
Magdalena | 33.3 % | 1 |
Santa Marta | 100.0 % | 1 |
Santa Marta | 100.0 % | 1 |
Czech Republic | 0.4 % | 3 |
Hlavní město Praha | 33.3 % | 1 |
Prague | 100.0 % | 1 |
Karlovy Vary Region | 33.3 % | 1 |
Cheb District | 100.0 % | 1 |
Mariánské Lázně | 100.0 % | 1 |
Moravian-Silesian Region | 33.3 % | 1 |
Opava District | 100.0 % | 1 |
Opava | 100.0 % | 1 |
Malaysia | 0.4 % | 3 |
Melaka | 33.3 % | 1 |
Melaka | 100.0 % | 1 |
Pulau Pinang | 33.3 % | 1 |
Pulau Pinang | 100.0 % | 1 |
Wilayah Persekutuan Kuala Lumpur | 33.3 % | 1 |
Kuala Lumpur | 100.0 % | 1 |
Romania | 0.4 % | 3 |
Municipiul București | 66.7 % | 2 |
București | 100.0 % | 2 |
Județul Timiș | 33.3 % | 1 |
Municipiul Timișoara | 100.0 % | 1 |
Timișoara | 100.0 % | 1 |
Switzerland | 0.4 % | 3 |
Basel-Stadt | 33.3 % | 1 |
Basel | 100.0 % | 1 |
Ticino | 33.3 % | 1 |
Lugano | 100.0 % | 1 |
Melide | 100.0 % | 1 |
Zürich | 33.3 % | 1 |
Zürich | 100.0 % | 1 |
Turkey | 0.4 % | 3 |
İstanbul | 100.0 % | 3 |
Beykoz | 33.3 % | 1 |
Fatih | 33.3 % | 1 |
Istanbul | 100.0 % | 1 |
Şişli | 33.3 % | 1 |
Maslak Mahallesi | 100.0 % | 1 |
Azerbaijan | 0.2 % | 2 |
Other | 100.0 % | 2 |
Bakı | 100.0 % | 2 |
Bakı | 100.0 % | 2 |
Belgium | 0.2 % | 2 |
Vlaanderen | 100.0 % | 2 |
Antwerpen | 50.0 % | 1 |
Antwerpen | 100.0 % | 1 |
West-Vlaanderen | 50.0 % | 1 |
Brugge | 100.0 % | 1 |
Costa Rica | 0.2 % | 2 |
San José | 100.0 % | 2 |
Montes de Oca | 50.0 % | 1 |
Sabanilla | 100.0 % | 1 |
Other | 50.0 % | 1 |
San Rafael de Escazu | 100.0 % | 1 |
Cyprus | 0.2 % | 2 |
Larnaca | 50.0 % | 1 |
Larnaca | 100.0 % | 1 |
Nicosia | 50.0 % | 1 |
Nicosia | 100.0 % | 1 |
Ecuador | 0.2 % | 2 |
Guayas | 100.0 % | 2 |
Guayaquil | 100.0 % | 2 |
Hungary | 0.2 % | 2 |
Budapest | 100.0 % | 2 |
Budapest | 100.0 % | 2 |
India | 0.2 % | 2 |
Delhi | 50.0 % | 1 |
New Delhi | 100.0 % | 1 |
New Delhi | 100.0 % | 1 |
Goa | 50.0 % | 1 |
North Goa | 100.0 % | 1 |
Guirim | 100.0 % | 1 |
Netherlands | 0.2 % | 2 |
Noord-Holland | 100.0 % | 2 |
Amsterdam | 100.0 % | 2 |
Amsterdam | 100.0 % | 2 |
Perú | 0.2 % | 2 |
Other | 100.0 % | 2 |
Lima | 100.0 % | 2 |
Miraflores | 100.0 % | 2 |
República Dominicana | 0.2 % | 2 |
Distrito Nacional | 50.0 % | 1 |
Los Alcarrizos | 100.0 % | 1 |
Santo Domingo | 100.0 % | 1 |
La Altagracia | 50.0 % | 1 |
South Korea | 0.2 % | 2 |
Seoul | 100.0 % | 2 |
Seoul | 100.0 % | 2 |
Uruguay | 0.2 % | 2 |
Departamento de Montevideo | 50.0 % | 1 |
Montevideo | 100.0 % | 1 |
Maldonado | 50.0 % | 1 |
Punta del Este | 100.0 % | 1 |
Austria | 0.1 % | 1 |
Wien | 100.0 % | 1 |
Wien | 100.0 % | 1 |
Croatia | 0.1 % | 1 |
City of Zagreb | 100.0 % | 1 |
Zagreb | 100.0 % | 1 |
Denmark | 0.1 % | 1 |
Capital Region of Denmark | 100.0 % | 1 |
København | 100.0 % | 1 |
Copenhagen | 100.0 % | 1 |
Estados Unidos | 0.1 % | 1 |
Texas | 100.0 % | 1 |
Hidalgo County | 100.0 % | 1 |
McAllen | 100.0 % | 1 |
Finland | 0.1 % | 1 |
Uusimaa | 100.0 % | 1 |
Helsinki | 100.0 % | 1 |
Israel | 0.1 % | 1 |
Tel Aviv District | 100.0 % | 1 |
Tel Aviv-Yafo | 100.0 % | 1 |
Mongolia | 0.1 % | 1 |
Ulaanbaatar | 100.0 % | 1 |
Bayangol | 100.0 % | 1 |
Ulaanbaatar | 100.0 % | 1 |
Philippines | 0.1 % | 1 |
Metro Manila | 100.0 % | 1 |
NCR - National Capital Region | 100.0 % | 1 |
Makati | 100.0 % | 1 |
Saint-Barthélemy | 0.1 % | 1 |
Other | 100.0 % | 1 |
Sweden | 0.1 % | 1 |
Kalmar län | 100.0 % | 1 |
Kalmar | 100.0 % | 1 |
Kalmar | 100.0 % | 1 |
Trinidad and Tobago | 0.1 % | 1 |
Port of Spain | 100.0 % | 1 |
Port of Spain | 100.0 % | 1 |
Tunisia | 0.1 % | 1 |
Médenine | 100.0 % | 1 |
Djerba Midoun | 100.0 % | 1 |
Ukraine | 0.1 % | 1 |
Kyiv city | 100.0 % | 1 |
Kyiv City | 100.0 % | 1 |
Kyiv | 100.0 % | 1 |
Vietnam | 0.1 % | 1 |
Hồ Chí Minh | 100.0 % | 1 |
Quận 1 | 100.0 % | 1 |
Ho Chi Minh City | 100.0 % | 1 |
2483 followers analizados
Hashtags más utilizados
9
Publicaciones
14
Hashtags
1.6 por foto
Hashtag | Ocurrencias |
---|---|
#workthatbody | 9 |
#212crew | 9 |
#modelfitbabes | 8 |
#fitspo | 8 |
#modelfit | 4 |
#2016 | 2 |
#nike | 1 |
#justdoit | 1 |
#betterforit | 1 |
#nikewomen | 1 |
#modelfitmondays | 1 |
#regram | 1 |
#modelfitbabe | 1 |
#happynewyear | 1 |
Palabras más utilizadas
9
Publicaciones
92
Palabras
10.2 por foto
Hashtag | Ocurrencias |
---|---|
studio | 2 |
all | 2 |
new | 2 |
year | 2 |
blown | 1 |
repost | 1 |
nikewomen | 1 |
looking | 1 |
good | 1 |
girls | 1 |
sunday | 1 |
sessions | 1 |
angelogrinceri | 1 |
730am | 1 |
friday | 1 |
class | 1 |
added | 1 |
trainer | 1 |
javipee | 1 |
sign | 1 |
now | 1 |
thanks | 1 |
1stdibs | 1 |
roundup | 1 |
worlds | 1 |
most | 1 |
gorgeous | 1 |
gyms | 1 |
back | 1 |
bowery | 1 |
lets | 1 |
get | 1 |
calling | 1 |
peace | 1 |
blessings | 1 |
happy | 1 |
ring | 1 |
strong | 1 |
just | 1 |
reminder | 1 |
open | 1 |
week | 1 |
️️212crew | 1 |
Filtros más usados
Ranking de los posts con más engagement
Likes, Comentarios y Publicaciones por día
9
Publicaciones
4821
Likes
535.7 por foto
61
Comentarios
6.8 por foto
5431
Engagement
603.4 por foto
Engagement medio diario
9
Publicaciones
5431
Engagement
603.4 por foto
Porcentaje de Engagement diario
9
Publicaciones
1.1 %
% Engagement
5431
Engagement
603.4 por foto
Hashtags con más engagement
Filtros con más engagement
Likes y Comentarios por día de la semana
Likes y Comentarios por hora del día
Mejor día para publicar
martes
100%
jueves
78%
domingo
77%
Mejor hora para publicar
23:00-24:00
100%
21:00-22:00
92%
12:00-13:00
81%
Mejor día y hora para publicar
lunes: 22:00-24:00
100%
martes: 20:00-22:00
92%
jueves: 12:00-14:00
81%
Publicaciones
Foto/Video | Mensaje | Likes | Comentarios | Engagement | Hashtags | Fecha |
---|---|---|---|---|---|---|
Ring in the New Year strong 💪🏼💥 Just a reminder the #modelfit studio is open all week 😉🍒☝🏼️💋⚡️#212Crew #modelfitbabes #fitspo #workthatbody |
784 | 12 | 904 | #workthatbody, #modelfitbabes, #modelfit, #fitspo, #212crew | 1451343254 28 de diciembre de 2015 23:54 +0100 | |
Repost from @nikewomen - looking good in our studio👌🏼 #modelfit 🔥🙌🏼💥😎 #fitspo #justdoit #betterforit #nikewomen #nike #212Crew #workthatbody #modelfitbabes |
721 | 11 | 831 | #fitspo, #nike, #justdoit, #workthatbody, #212crew, #modelfitbabes, #modelfit, #betterforit, #nikewomen | 1452631186 12 de enero de 2016 21:39 +0100 | |
7:30am Friday class added with this ⭐️ #modelfit trainer @javipee 💪🏼💥💦 #workthatbody #modelfitbabe #212Crew #regram #fitspo 😎 Sign up now 👊🏼 |
662 | 7 | 732 | #regram, #modelfit, #fitspo, #modelfitbabe, #workthatbody, #212crew | 1452166722 07 de enero de 2016 12:38 +0100 | |
559 | 8 | 639 | #modelfitbabes, #workthatbody, #fitspo, #212crew | 1452445861 10 de enero de 2016 18:11 +0100 | ||
566 | 4 | 606 | #212crew, #modelfitbabes, #2016, #workthatbody, #happynewyear | 1451664679 01 de enero de 2016 17:11 +0100 | ||
470 | 9 | 560 | #modelfitbabes, #workthatbody, #fitspo, #212crew | 1452789066 14 de enero de 2016 17:31 +0100 | ||
Back on Bowery 👊🏼⚡️ #2016 let's get it! Calling all #modelfitbabes 😎💪🏼🍑☝🏼️💕 #fitspo #212Crew #workthatbody |
422 | 2 | 442 | #modelfitbabes, #2016, #workthatbody, #fitspo, #212crew | 1451927401 04 de enero de 2016 18:10 +0100 | |
356 | 2 | 376 | #modelfitmondays, #modelfitbabes, #workthatbody, #fitspo, #212crew | 1452527351 11 de enero de 2016 16:49 +0100 | ||
Thanks @1stdibs for including #modelfit in your roundup of the world's most gorgeous gyms 🙏🏼💥💪🏼⚡️😎✨💁🏼 #fitspo #212Crew #workthatbody #modelfitbabes |
281 | 6 | 341 | #workthatbody, #modelfitbabes, #modelfit, #fitspo, #212crew | 1452034929 06 de enero de 2016 00:02 +0100 |