Best shopping malls Milan (IT)
Popular shopping days & hours in Milan Italy : Avoid the busy hours by visiting shopping malls during the quiet days as indicated below.
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The Highline Outlet (Shopping)
Corso Vittorio Emanuele II, 30 20121 Milano MI ItalyThe Highline Outlet is most popular around 4 PM on Saturdays. Visitors usually stay 25 min to 1,5 hr here. It's most quiet on Mondays.
Upim (Apparel)
Corso Buenos Aires, 37 20124 Milano MI ItalyUpim is most popular around 5 PM on Saturdays. Visitors usually stay 25 min to 1 hr here. It's most quiet on Mondays.
For more info visit the website or checkout Google Maps.
Urban Outfitters (Apparel)
Galleria Passarella, 1 20121 Milano MI ItalyUrban Outfitters is most popular around 4 PM on Saturdays. Visitors usually stay 20-45 min here. It's most quiet on Thursdays.
For more info visit the website or checkout Google Maps.
Aumai Market (Shopping center)
Via Padova, 198/200 20132 Milano MI ItalyAumai Market is most popular around 5 PM on Saturdays. Visitors usually stay 25 min here. It's most quiet on Mondays.
For more info visit the website or checkout Google Maps.
Gucci - Milano Flagship (Apparel)
Via Monte Napoleone, 7A 20121 Milano MI ItalyGucci - Milano Flagship is most popular around 4 PM on Tuesdays. It's most quiet on Sundays.
Dal 1921, Gucci rappresenta la creatività, l’innovazione e la maestria artigianale italiana attraverso i suoi design distintivi. Con le sue collezioni di borse, valigie, abbigliamento e scarpe, la Maison continua a ridefinire il concetto di lusso.
For more info visit the website or checkout Google Maps.
Gogol & Company (Shopping)
Via Savona, 101 20144 Milano MI ItalyVisitors usually stay up to 1,5 hours here. It's most quiet on Wednesdays.
For more info visit the website or checkout Google Maps.
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Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Milan, Italy. Filter points of interest (venues) on foot traffic levels, day, time, dwell time, location, ratings, etc. BestTime provides retail foot traffic and foot traffic analytics.