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 42%, compared to the preceding three months.
brownsfashion.com competitors
The competitive set includes mytheresa.com, matchesfashion.com, net-a-porter.com, ssense.com, and ln-cc.com. In September 2026, brownsfashion.com generated $88,200 in revenue from 149 transactions across 53,300 sessions, yielding an AOV of $575-600 and a conversion rate of 0.00-0.50%. In contrast, mytheresa.com led significantly with $34.8 million in revenue from 49,900 transactions and 6.1 million sessions, achieving an AOV of $675-700 and a conversion rate of 0.50-1.00%. Similarly, net-a-porter.com reported $31.9 million with 71,400 transactions and 6.7 million sessions. While brownsfashion.com ranks 6 of 6 across revenue and transactions, it trails its competitors in overall performance metrics.
Revenue share by device at brownsfashion.com
In September 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.
