Following our previous benchmark report on the top banking apps in the UK, we’ve released a new benchmark report on the top mobile applications in the UK’s ecommerce and shopping sector, in partnership with Decode Apps, a specialist in mobile application benchmarking and monitoring.

According to a report from eMarketer, total mcommerce sales in the UK are expected to grow more than 25% this year to reach £25.2 billion – and that number is expected to exceed £42.5 billion by 2020. Clearly, shopping from mobile devices is becoming a regular aspect of consumer behaviour. And mobile apps in particular play an important part in driving mcommerce sales. Below are some highlights from this study based on 810 mobile apps in the “Shopping” category from major ecommerce groups in the UK.

 

The Top 10 shopping apps on iOS & Android

Here’s how the UK’s Top 10 ecommerce mobile apps stack up, ranked by change in number of ratings in October 2016.

 

On Android:

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On iOS:

On Android, the Marks & Spencer mobile app saw the highest rate of change in terms of number of ratings in the Google Play store in the UK, while on iOS, the John Lewis mobile app took the top spot.

 

Download the full benchmark report for more data and analyses!

Get free access to the entire benchmark study and discover:

  • The Top 10 shopping apps in the UK, in terms of store ranking and change in number of ratings
  • A detailed analysis of the leading app from Groupon
  • Spotlight on the innovative ASOS app

 

READ THE BENCHMARK

Want to know more about mobile app trends? Check out these 6 insights to guide your mobile & app analytics strategy.

 

 

Author

Business analytics consultant. With a masters in Marketing from the Institut Supérieur Européen de Gestion (Advanced European Institute of Management) in Bordeaux, Aurélie has more than 7 years of experience in the web analytics field. After joining AT Internet's surveys department in 2009 as a marketing survey manager, she later became a consultant who helps AT Internet customers use their analytics data effectively.

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