Mallet London 4+

London Premium Footwear


Designed for iPhone

    • 4.9 • 686 Ratings
    • Free

iPhone Screenshots


Introducing the Mallet Footwear app for the latest premium footwear and exclusive releases.

Mallet Footwear in a London based premium footwear label. Browse latest drops, and exclusive app only releases, quick and easy-to-use app for iPhone and iPad.

Mallet Footwear app features

- Smooth, intuitive browsing
- Powerful search and filtering
- Streamlined checkout including Apple Pay
- Save items for later
- See prices in your local currency

What’s New

Version 4

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

Ratings and Reviews

4.9 out of 5
686 Ratings

686 Ratings

Only 1 DJ ,


A fantastic app, visually engaging, easy to navigate, product display perfect, price point spot on! Would just look at default to UK for UK residents, it’s currently set to US and need to be able to scroll upwards when at checkout pay point just to complete address or make amendments. Other than that great experience and well done to the Mallet team! 👍🏼

cameronlyons1995 ,


I love Mallet’s own 5 pairs and the apps much easier then any store or website to use and to find out the latest stock big man Tom doing a 10/10 job !!

Daddyleww ,


App could do with some fine tuning, slightly clunky in places and no real ability to refine your searches on products like sizes/colours/materials. Other than that I’d say it’s relatively user friendly in regards to app navigation and appearance.

App Privacy

The developer, Mallet.Footwear, 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 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 based on, for example, the features you use or your age. Learn More

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