zalando.dk
Zalando.dk is an e-commerce website focusing on retail fashion products. They offer a wide range of clothing, shoes, and accessories for men, women, and children. Customers can find various brands and trendy styles on the website, which provides a convenient platform for online shopping within Denmark.
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zalando.dk Annual Revenue and Growth
zalando.dk's annual sales on its online store amounted to $142.7M in 2024, down 20-50% from the previous year. For 2025, revenue is expected to decline by 5-10%. The trend is expected to moderate.
zalando.dk's monthly revenueOVER TIME
Over the past three months, zalando.dk revenue has experienced decline of 5.6%, compared to the preceding three months.
zalando.dk competitors
In September 2025, zalando.dk reported a revenue of 10,950,938 DKK with 140,638 transactions and 3,811,633 sessions, resulting in an average order value (AOV) of 75-100 DKK and a conversion rate of 3.50-4.00%. Compared to its competitors, zalando.dk falls behind in revenue when compared to hm.com at 200,639,994 DKK and nike.com at 236,076,012 DKK. However, zalando.dk excels in conversion rate, outperforming asos.com at 1.50-2.00% and farfetch.com at 1.00-1.50%. In terms of AOV, zalando.dk is on par with zara.com at 75-100 DKK. While zalando.dk may not be the leader in revenue, its high conversion rate indicates strong customer engagement and satisfaction compared to its competitors.
Revenue share by device at zalando.dk
In September large majority of sales on zalando.dk, 81% was finalized on desktop devices, with 19% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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zalando.dk channels
Identify top traffic channels that drive growth for zalando.dkand discover how performance of traffic channels has changed over time.
zalando.dk Google Ads spend
Evaluate zalando.dk'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.dk devices
Review zalando.dk's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
