shopworn.com
Shopworn is an e-commerce platform that specializes in selling refurbished luxury goods. The website offers a wide range of high-end products, including designer watches, handbags, jewelry, and accessories. Their inventory consists of previously owned items that have been carefully inspected and restored to pristine condition, offering customers discounted options for luxury brands.
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shopworn.com Annual Revenue and Growth
shopworn.com's annual sales on its online store amounted to $53.1K in 2025, down 20-50% from the previous year. For 2026, revenue is expected to remain broadly in line with last year.
shopworn.com's monthly revenueOVER TIME
Over the past three months, shopworn.com revenue has experienced decline of N/A, compared to the preceding three months.
shopworn.com competitors
In May 2026, shopworn.com generated $4,427 from 6 transactions across 453 sessions, achieving an average order value (AOV) of $725-750 and a conversion rate of 1.00-1.50%. In contrast, ashford.com dominated with a revenue of $4,623,866 from 9,757 transactions over 863,354 sessions, reflecting a lower AOV of $450-475 but the same conversion rate. Similarly, luminox.com earned $690,957 from 1,262 transactions at an AOV of $525-550 and a conversion rate of 0.50-1.00%. Meanwhile, watchwarehouse.com had an AOV of $1000-1025 with a modest revenue of $381,491, while chronostore.com reported $38,412 in revenue with an AOV of $950-975 and a comparable conversion rate. movado.com showed significant revenue at $1,464,273, but a conversion rate of 0.00-0.50%. Overall, shopworn.com’s metrics reveal a niche presence amid larger competitors.
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shopworn.com channels
Identify top traffic channels that drive growth for shopworn.comand discover how performance of traffic channels has changed over time.
shopworn.com Google Ads spend
Evaluate shopworn.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.
shopworn.com devices
Review shopworn.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
