GRIPS CUSTOMERS & RESEARCH PARTNERS
brownsfashion.com Annual Revenue and Growth
brownsfashion.com's annual sales on its online store amounted to $4.9M in 2025, down 50%+ from the previous year. For 2026, revenue is expected to decline by 50%+. The trend is expected to moderate.
brownsfashion.com's monthly revenueOVER TIME
Over the past three months, brownsfashion.com revenue has experienced decline of 45%, compared to the preceding three months.
brownsfashion.com competitors
In the competitive set of mytheresa.com, matchesfashion.com, net-a-porter.com, ssense.com, and ln-cc.com, brownsfashion.com ranks last in revenue, generating $85,800 from 146 transactions across 66,700 sessions. In contrast, ssense.com leads with $45.8 million and 127,000 transactions from 10 million sessions. Notably, brownsfashion.com’s average order value (AOV) of $575-600 is higher than matchesfashion.com’s AOV of $350-375. However, brownsfashion.com trails in conversion rate, achieving 0.00-0.50%, while competitors like mytheresa.com and net-a-porter.com outperform with rates of 0.50-1.00% and 1.00-1.50%, respectively. As of August 2026, brownsfashion.com demonstrates considerable room for growth compared to its peers.
Revenue share by device at brownsfashion.com
In August large majority of sales on brownsfashion.com, 63% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 37% of sales coming from desktop devices.
Industries brownsfashion.com operates in
brownsfashion.com is tracked across 2 e-commerce industries. Explore market size, leading retailers and benchmarks for each.
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brownsfashion.com channels
Identify top traffic channels that drive growth for brownsfashion.comand discover how performance of traffic channels has changed over time.
brownsfashion.com Google Ads spend
Evaluate brownsfashion.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.
brownsfashion.com devices
Review brownsfashion.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
