zalando.no
Zalando.no is a website catering to Norwegian customers, offering a wide range of products related to fashion and accessories. The website functions as an online marketplace, showcasing items from various well-known and independent brands. Customers can find clothing, footwear, accessories, and beauty products suitable for men, women, and children.
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zalando.no Annual Revenue and Growth
zalando.no's annual sales on its online store amounted to $77.7M in 2024, down 20-50% from the previous year. For 2025, revenue is expected to grow by 0-5%. This suggests a turnaround from last year's decline.
zalando.no's monthly revenueOVER TIME
Over the past three months, zalando.no revenue has experienced decline of 17%, compared to the preceding three months.
zalando.no competitors
In December 2025, zalando.no had a revenue of $4,833,271 with 47,492 transactions and 2,711,715 sessions, resulting in an average order value (AOV) of $100-125 and a conversion rate of 1.50-2.00%. Compared to its competitors, Zalando falls behind in terms of revenue when looking at giants like hm.com with $161,811,569 and nike.com with $393,134,843. However, Zalando has a similar AOV range and conversion rate to these competitors, indicating that it may have a strong customer base and marketing strategy. zara.com and nelly.com have similar revenue figures to Zalando, but nelly.com stands out with a higher conversion rate of 3.00-3.50%, showing potential for growth in this area. Overall, Zalando is competitive in terms of AOV and conversion rate, but may need to focus on increasing revenue to keep up with the market leaders.
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zalando.no channels
Identify top traffic channels that drive growth for zalando.noand discover how performance of traffic channels has changed over time.
zalando.no Google Ads spend
Evaluate zalando.no's Google search ad spend, ad clicks and cost-per-click. Review performance over time and gain deeper view into their ad campaign spend.
zalando.no devices
Review zalando.no's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
