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 21%, 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 July 2026, brownsfashion.com generated $111,000 in revenue with 179 transactions from 81,900 sessions, resulting in an AOV of $600-625 and a conversion rate of 0.00-0.50%. In stark contrast, ssense.com led with $50 million in revenue and 133,000 transactions from 10.6 million sessions, outperforming brownsfashion.com by $49.9 million in revenue and 133,000 transactions. Additionally, brownsfashion.com trailed ssense.com by 10.5 million sessions, while its conversion rate remains significantly lower compared to its competitors, highlighting the challenges it faces in a competitive luxury retail landscape.
Revenue share by device at brownsfashion.com
In July 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.
