tradesy.com
Tradesy.com is a web-based platform that facilitates the buying and selling of pre-owned fashion items. Sellers list a variety of high-end clothing, shoes, and accessories, allowing buyers to discover unique and affordable luxury fashion pieces. The platform ensures secure transactions and offers a hassle-free experience for both sellers and buyers.
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tradesy.com Annual Revenue and Growth
tradesy.com's annual sales on its online store amounted to $208.4K in 2025, down 50%+ from the previous year. For 2026, revenue is expected to decline by 50%+. The trend is expected to moderate.
tradesy.com's monthly revenueOVER TIME
Over the past three months, tradesy.com revenue has experienced growth of 197%, compared to the preceding three months.
tradesy.com competitors
In May 2026, tradesy.com generated a revenue of $10,520 from 21 transactions, with an average order value (AOV) between $475 and $500 and a conversion rate of 1.50-2.00%. In contrast, pamellaroland.com outperformed with a revenue of $28,099, 97 transactions, and 2,865 sessions. Its AOV ranged from $275 to $300, yet it maintained a higher conversion rate of 3.00-3.50%. While tradesy.com attracted fewer sessions, it benefited from a higher AOV, indicating a different market strategy. Overall, pamellaroland.com demonstrated stronger performance metrics, particularly in revenue generation and conversion efficiency, making it a formidable competitor in the luxury resale market.
Industries tradesy.com operates in
tradesy.com is tracked across 2 e-commerce industries. Explore market size, leading retailers and benchmarks for each.
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tradesy.com channels
Identify top traffic channels that drive growth for tradesy.comand discover how performance of traffic channels has changed over time.
tradesy.com Google Ads spend
Evaluate tradesy.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.
tradesy.com devices
Review tradesy.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
