zalando.hr
Zalando.hr is an online retail platform operating in Croatia. It offers a wide range of products, including clothing, footwear, accessories, and beauty products for men, women, and children. The website enables customers to browse and purchase items while providing convenient delivery and return services within Croatia.
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zalando.hr's revenueOVER TIME
Over the past three months, zalando.hr revenue has experienced growth of 0.6%, compared to the preceding three months.
zalando.hr competitors
In July 2025, zalando.hr generated a revenue of 1,260,698 with 15,421 transactions and 773,459 sessions, boasting an Average Order Value (AOV) of 75-100 and a conversion rate of 1.50-2.00. In comparison, zara.com outperformed with a revenue of 160,101,042 from 1,678,933 transactions and 94,483,225 sessions, matching zalando.hr's AOV and conversion rate range. deichmann.com reported revenue of 7,914,600 from 167,722 transactions and 7,560,455 sessions, with a lower AOV range of 25-50 but a slightly higher conversion rate of 2.00-2.50. nike.com stood out with revenue of 306,602,199 from 2,376,679 transactions and 114,458,176 sessions, offering a higher AOV range of 125-150 and a comparable conversion rate range. farfetch.com recorded revenue of 75,090,381 from 227,562 transactions and 21,220,344 sessions, showcasing the highest AOV range of 325-350 but a lower conversion rate of 1.00-1.50.
Revenue share by device at zalando.hr
In July large majority of sales on zalando.hr, 70% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 30% of sales coming from desktop devices.
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zalando.hr channels
Identify top traffic channels that drive growth for zalando.hrand discover how performance of traffic channels has changed over time.
zalando.hr Google Ads spend
Evaluate zalando.hr'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.hr devices
Review zalando.hr's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
