zalando.cz
Zalando.cz is an online platform offering a wide range of products, including clothing, accessories, shoes, beauty products, and home decor. It serves customers in the Czech Republic and provides a convenient way to browse, purchase, and receive diverse items from various brands.
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zalando.cz's revenueOVER TIME
Over the past three months, zalando.cz revenue has experienced growth of 9.1%, compared to the preceding three months.
zalando.cz competitors
In May 2025, zalando.cz, with a revenue of 7,016,271 CZK, 72,142 transactions, 2,181,851 sessions, an Average Order Value (AOV) of 75-100 CZK, and a conversion rate of 3.00-3.50%, faces stiff competition from its rivals. breuninger.com boasts a revenue of 26,213,691 CZK, 136,410 transactions, 8,246,182 sessions, an AOV of 175-200 CZK, and a conversion rate of 1.50-2.00%. nike.com stands out with a significant revenue of 326,586,210 CZK, 2,523,168 transactions, 116,622,635 sessions, an AOV of 125-150 CZK, and a conversion rate of 2.00-2.50%. farfetch.com follows closely behind with a revenue of 88,260,840 CZK, 251,431 transactions, 20,457,947 sessions, an AOV of 350-375 CZK, and a conversion rate of 1.00-1.50%. zalando.cz competes with H&m.com, which records a revenue of 201,009,880 CZK, 2,663,858 transactions, 96,615,594 sessions, an AOV of 75-100 CZK, and a conversion rate of 2.50-3.00%. mall.cz, with a revenue of 878,751 CZK, 3,781 transactions, 150,897 sessions, an AOV of 225-250 CZK
Revenue share by device at zalando.cz
In May large majority of sales on zalando.cz, 68% was finalized on desktop devices, with 32% of sales coming from mobile devices.
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zalando.cz channels
Identify top traffic channels that drive growth for zalando.czand discover how performance of traffic channels has changed over time.
zalando.cz Google Ads spend
Evaluate zalando.cz'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.cz devices
Review zalando.cz's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
