dsquared2.com
Dsquared2.com is an online platform offering a wide selection of fashion products. The website features apparel and accessories for men, women, and children, including clothing, shoes, bags, and fragrances. It provides an easy-to-navigate interface, allowing customers to browse and purchase their desired items directly from the site.
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dsquared2.com Annual Revenue and Growth
dsquared2.com's annual sales on its online store amounted to $10.4M in 2025, up 5-10% from the previous year. For 2026, revenue is expected to grow by 20-50%. The trend is expected to accelerate.
dsquared2.com's monthly revenueOVER TIME
Over the past three months, dsquared2.com revenue has experienced growth of 9%, compared to the preceding three months.
dsquared2.com competitors
In January 2026, dsquared2.com had a revenue of $1,205,822 from 2,819 transactions and 511,895 sessions, with an average order value (AOV) ranging from $425 to $450 and a conversion rate of 0.50% to 1.00%. In comparison, its competitor glamood.com generated a higher revenue of $1,484,120 from 4,496 transactions and 473,962 sessions. However, dsquared2.com had a higher AOV of $425 to $450 compared to glamood.com's AOV of $325 to $350. Both websites had similar conversion rates ranging from 0.50% to 1.00%. Overall, dsquared2.com performed well in terms of AOV but lagged slightly behind glamood.com in revenue, transactions, and sessions.
Revenue share by device at dsquared2.com
In January large majority of sales on dsquared2.com, 65% was finalized on desktop devices, with 35% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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dsquared2.com channels
Identify top traffic channels that drive growth for dsquared2.comand discover how performance of traffic channels has changed over time.
dsquared2.com Google Ads spend
Evaluate dsquared2.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.
dsquared2.com devices
Review dsquared2.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
