returnstyle.com
buy consign sell trade, ladies modern resale, previously owned luxury and fun fashions! handbags, clothing, accessories & jewelry for every budget & style.
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returnstyle.com Annual Revenue and Growth
returnstyle.com's annual sales on its online store amounted to $70.3K in 2024, down 20-50% from the previous year. For 2025, revenue is expected to grow by 50%+. This suggests a turnaround from last year's decline.
returnstyle.com's monthly revenueOVER TIME
Over the past three months, returnstyle.com revenue has experienced growth of 72%, compared to the preceding three months.
returnstyle.com competitors
In September 2025, returnstyle.com reported a revenue of $12,272 with 103 transactions and 5,042 sessions, resulting in an average order value (AOV) of $100-$125 and a conversion rate of 2.00-2.50%. In comparison, mygirlfriendswardrobe.net had a lower revenue of $6,217 with 32 transactions and 1,520 sessions, but a higher AOV of $175-$200. johnnywas.com showed significantly higher revenue at $3,133,234 with 16,798 transactions and 596,730 sessions, along with a similar AOV range to mygirlfriendswardrobe.net. italist.com had a substantial revenue of $4,104,167 with 6,684 transactions and 584,926 sessions, boasting a high AOV of $600-$625 but a lower conversion rate. vogue.com was the standout performer with a massive revenue of $36,159,465, 151,992 transactions, and 16,679,124 sessions, coupled with a higher AOV of $225-$250, although with a lower conversion rate. Overall, returnstyle.com falls within the mid-range of its competitors in terms of revenue and performance metrics.
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returnstyle.com channels
Identify top traffic channels that drive growth for returnstyle.comand discover how performance of traffic channels has changed over time.
returnstyle.com Google Ads spend
Evaluate returnstyle.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.
returnstyle.com devices
Review returnstyle.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
