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 28%, compared to the preceding three months.
brownsfashion.com competitors
In April 2026, brownsfashion.com generated a revenue of $172,192 from 286 transactions over 72,352 sessions, with an average order value (AOV) ranging from $600 to $625 and a conversion rate of 0.00-0.50%. In contrast, mytheresa.com significantly outperformed with a revenue of $32,920,691 from 46,586 transactions, indicating a higher conversion rate of 0.50-1.00% and an AOV of $700-725. matchesfashion.com, while closer in session numbers at 75,856, earned $427,018, with an AOV of $425-450 and a robust conversion rate of 1.00-1.50%. net-a-porter.com and ssense.com also showcased substantial revenue, $44,563,223 and $43,176,625 respectively, each with higher conversion rates around 0.50-1.50%. LN-CC, though lower in overall metrics, achieved a noteworthy conversion rate of 1.50-2.00% with $1,489,612 revenue, highlighting the diverse competitive landscape.
Revenue share by device at brownsfashion.com
In April 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.
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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.
