modcloth.com
Modcloth.com is a website that offers a wide selection of womens clothing and accessories. They specialize in vintage-inspired fashion focusing on unique styles and sizes, offering dresses, tops, bottoms, outerwear, shoes, bags, and jewelry. The platform also features a vibrant community where customers can read reviews and share styling tips.
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modcloth.com's revenueOVER TIME
Over the past three months, modcloth.com revenue has experienced decline of 9.5%, compared to the preceding three months.
modcloth.com competitors
In May 2025, modcloth.com reported a revenue of $560,146 from 4,916 transactions and 526,381 sessions, with an Average Order Value (AOV) of $100-125 and a conversion rate of 0.50-1.00%. In comparison, unique-vintage.com generated $1,438,001 in revenue from 15,725 transactions and 919,210 sessions, with an AOV of $75-100 and a conversion rate of 1.50-2.00%. torrid.com had the highest revenue among the competitors, with $13,819,955 from 179,365 transactions and 11,731,181 sessions, similar AOV and conversion rate to Unique-Vintage. citychiconline.com had a revenue of $1,258,016 with 6,204 transactions and 396,507 sessions, boasting a higher AOV of $200-225 and the same conversion rate as Unique-Vintage and Torrid. Overall, modcloth.com performed well in terms of revenue and transactions, falling slightly behind in sessions compared to some competitors but maintaining a similar AOV and conversion rate to the industry standard.
Revenue share by device at modcloth.com
In May large majority of sales on modcloth.com, 52% was finalized on desktop devices, with 48% of sales coming from mobile devices.
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modcloth.com channels
Identify top traffic channels that drive growth for modcloth.comand discover how performance of traffic channels has changed over time.
modcloth.com Google Ads spend
Evaluate modcloth.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.
modcloth.com devices
Review modcloth.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
