net-a-porter.com
Net-a-Porter.com is an online retail platform offering a wide array of fashionable clothing, accessories, and beauty products for women. They specialize in luxury brands and designer items, catering to diverse styles and occasions. Customers can conveniently browse and purchase a curated selection of high-end fashion from various renowned designers worldwide.
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net-a-porter.com's revenueOVER TIME
Over the past three months, net-a-porter.com revenue has experienced decline of 7.6%, compared to the preceding three months.
net-a-porter.com competitors
In May 2025, net-a-porter.com reported a revenue of $31,888,515 from 58,115 transactions with 5,697,768 sessions. Their average order value (AOV) ranged from $525 to $550, and they had a conversion rate of 1.00-1.50%. Comparing this data to their competitors, matchesfashion.com had a revenue of $417,504 from 899 transactions and 74,801 sessions, with an AOV of $450-475 and a conversion rate of 1.00-1.50%. fwrd.com reported $13,414,537 in revenue from 25,604 transactions and 2,153,005 sessions, with an AOV of $500-525 and a conversion rate of 1.00-1.50%. mytheresa.com had a revenue of $32,605,550 from 47,691 transactions and 6,028,287 sessions, with an AOV of $675-700 and a conversion rate of 0.50-1.00%. bergdorfgoodman.com and harrods.com also showed varying performance metrics in comparison to net-a-porter.com in the same time frame.
Revenue share by device at net-a-porter.com
In May large majority of sales on net-a-porter.com, 67% was finalized on desktop devices, with 33% of sales coming from mobile devices.
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net-a-porter.com channels
Identify top traffic channels that drive growth for net-a-porter.comand discover how performance of traffic channels has changed over time.
net-a-porter.com Google Ads spend
Evaluate net-a-porter.com's Google search ad spend, ad clicks and cost-per-click. Review performance over time and gain deeper view into their ad campaign spend.
net-a-porter.com devices
Review net-a-porter.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
