iclothing.com
iclothing.com is an e-commerce platform offering a wide range of fashion items. The website showcases various clothing articles for men and women, including trendy outfits, accessories, shoes, and more. They cater to diverse styles and preferences, providing customers with an extensive selection of fashion products conveniently available for purchase online.
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iclothing.com's revenueOVER TIME
Over the past three months, iclothing.com revenue has experienced decline of 1.5%, compared to the preceding three months.
iclothing.com competitors
In July 2025, iclothing.com reported a revenue of $114,396 from 975 transactions with 33,675 sessions, boasting an average order value (AOV) of $100-125 and a conversion rate of 2.50-3.00%. Comparing this data to its competitors, newlook.com leads the pack with a revenue of $23,403,563 from 303,700 transactions and 7,967,620 sessions, achieving an AOV of $75-100 and a conversion rate of 3.50-4.00%. boohoo.com follows with $11,636,992 in revenue, 180,647 transactions, and 7,193,545 sessions, offering an AOV of $50-75 and a conversion rate of 2.50-3.00%. Other competitors like karenmillen.com, hm.com, and riverisland.com also present varying performance metrics in terms of revenue, transactions, sessions, AOV, and conversion rates, highlighting the competitive landscape in the online fashion industry in July 2025.
Revenue share by device at iclothing.com
In July large majority of sales on iclothing.com, 89% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 11% of sales coming from desktop devices.
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iclothing.com channels
Identify top traffic channels that drive growth for iclothing.comand discover how performance of traffic channels has changed over time.
iclothing.com Google Ads spend
Evaluate iclothing.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.
iclothing.com devices
Review iclothing.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
