zalando.se
Zalando.se is an online platform providing a wide range of fashion and lifestyle products for both men and women. Their inventory includes clothing, footwear, accessories, and beauty products from various popular brands. Customers can browse and purchase items, benefiting from convenient online shopping and delivery services.
GRIPS CUSTOMERS & RESEARCH PARTNERS
zalando.se's revenueOVER TIME
Over the past three months, zalando.se revenue has experienced growth of 8.6%, compared to the preceding three months.
zalando.se competitors
In July 2025, zalando.se recorded a revenue of 20,201,454 SEK with 223,086 transactions and 8,028,090 sessions. The average order value (AOV) ranged from 75-100 SEK, while the conversion rate stood at 2.50-3.00%. Comparing zalando.se to its competitors, asos.com generated the highest revenue of 88,730,078 SEK with 591,249 transactions and 58,805,240 sessions. H&m.com followed closely with a revenue of 175,814,682 SEK, 2,131,782 transactions, and 95,303,973 sessions. farfetch.com boasted a high AOV of 325-350 SEK but had a lower revenue compared to zalando.se. zara.com had similar revenue numbers but a slightly lower conversion rate. na-kd.com lagged behind with lower revenue, transactions, and sessions compared to zalando.se. Overall, zalando.se performed well in terms of revenue and conversion rate among its competitors.
Revenue share by device at zalando.se
In July large majority of sales on zalando.se, 58% was finalized on desktop devices, with 42% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
Gain even more insights with the Grips app
zalando.se channels
Identify top traffic channels that drive growth for zalando.seand discover how performance of traffic channels has changed over time.
zalando.se Google Ads spend
Evaluate zalando.se'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.se devices
Review zalando.se's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
