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 $65.9K in 2025, down 50%+ from the previous year. For 2026, revenue is expected to decline by 20-50%. The trend is expected to moderate.
wefashion.de's monthly revenueOVER TIME
Over the past three months, wefashion.de revenue has experienced growth of 40%, compared to the preceding three months.
wefashion.de competitors
In July 2026, wefashion.de significantly trails its competitors in revenue, with only $5,427 compared to jackjones.com, which leads at $9.9 million. Similarly, in terms of transactions, wefashion.de ranks last with just 42, falling short of jackjones.com by 98,800. The session count further highlights this disparity; wefashion.de sees only 805 sessions, trailing jackjones.com by 2.9 million. Although wefashion.de boasts a conversion rate of 5.00-5.50%, which is relatively competitive, it still lags behind jackjones.com’s 3.00-3.50%. In terms of average order value (AOV), wefashion.de is positioned at $125-150, while competitors like herrenausstatter.de lead with an AOV of $150-175. Overall, wefashion.de's performance metrics reflect a substantial gap compared to its more successful competitors, making it clear that significant improvements are needed to enhance its market position.
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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.
