wefashion.de
Wefashion.de is a website that primarily sells clothing and fashion accessories. Their inventory varies from casual to formal wear for men, women, and children. In addition to clothing, they offer a variety of footwear options and accessories like bags, belts, and jewelry, appealing to a fashion-conscious customer base.
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wefashion.de Annual Revenue and Growth
wefashion.de's annual sales on its online store amounted to $3.1M in 2024, down 50%+ from the previous year. For 2025, revenue is expected to decline by 50%+. The trend is expected to accelerate.
wefashion.de's monthly revenueOVER TIME
Over the past three months, wefashion.de revenue has experienced decline of 75%, compared to the preceding three months.
wefashion.de competitors
In November 2025, wefashion.de generated a revenue of 1,110 with 11 transactions and 190 sessions, boasting an average order value (AOV) of 100-125 and a conversion rate of 5.50-6.00%. Comparing this to its competitors, jackjones.com leads the pack with a revenue of 17,019,543, 179,379 transactions, and 3,849,446 sessions, but a lower AOV of 75-100 and a conversion rate of 4.50-5.00%. hemden.de follows closely behind wefashion.de with a revenue of 1,078,397, 8,469 transactions, and 302,137 sessions, and a higher AOV of 125-150 but a lower conversion rate of 2.50-3.00%. vertbaudet.de and herrenausstatter.de fall in between, while suitable.de lags behind with the lowest revenue, transactions, sessions, AOV, and conversion rate. Overall, wefashion.de holds its ground among its competitors, showcasing a healthy balance of revenue, transactions, AOV, and conversion rate.
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wefashion.de channels
Identify top traffic channels that drive growth for wefashion.deand discover how performance of traffic channels has changed over time.
wefashion.de Google Ads spend
Evaluate wefashion.de's Google search ad spend, ad clicks and cost-per-click. Review performance over time and gain deeper view into their ad campaign spend.
wefashion.de devices
Review wefashion.de's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
