Minga London US 17+

All Weirdos R Welcome‪!‬

Minga London

Designed for iPad

    • 4.9 • 83 Ratings
    • Free

Screenshots

Description

Ethical fashion that doesn’t compromise on weird.

Minga London makes clothing for your most unapologetic looks. Vintage-inspired and totally independent, we are a safe zone for you to be your weirdest self. Our inhouse creators are a close-knit unit so you can expect your pieces to be crafted by love, smiles and trusted hands. Tons of care goes into how we impact the planet too. Sounds like a family you can get behind? Everyone’s welcome.

*Exclusive app deals
*Easy shopping experience
*Sale alerts and promotional nudges
*Check out easily with Apple Pay
*Shipping worldwide + fast shipping

Make sure to allow push notifications so you don't miss anything.

What’s New

Version 2.6

• New and improved user accounts
• Easier and faster checkout
• View and keep track of your orders

Ratings and Reviews

4.9 out of 5
83 Ratings

83 Ratings

Radium bear ,

The app is so cute!!

I rlly like the look and the feel of the app definitely an upgrade to just using the website for sure!🫶

Xxmidnight_coolcatxX ,

UNDERRATED!!

This app is horribly underrated, the clothes are soooo cute!!! Been looking for an app just like this. Thank you Minga London!

small fri Ju ,

I LOVE

THE APP IS SO CUTE AND SO EASY TO GET AROUND THE CLOTHES ARE ALL AMAZING!!

App Privacy

The developer, Minga London, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Used to Track You

The following data may be used to track you across apps and websites owned by other companies:

  • Contact Info
  • Identifiers
  • Usage Data

Data Linked to You

The following data may be collected and linked to your identity:

  • Contact Info

Data Not Linked to You

The following data may be collected but it is not linked to your identity:

  • Purchases
  • Identifiers
  • Usage Data
  • Diagnostics

Privacy practices may vary, for example, based on the features you use or your age. Learn More

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