outfits24.de
Kostenloser Versand ✓ DHL Lieferung ✓ Kostenlose Rücksendung ✓ Mode für Frauen & Männer im Sale online bestellen ✓ Kauf auf Rechnung ✓ Echt vom…
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outfits24.de's monthly revenueOVER TIME
Over the past three months, outfits24.de revenue has experienced decline of 19%, compared to the preceding three months.
outfits24.de competitors
In August 2025, outfits24.de generated a revenue of €130,577 from 927 transactions and 46,098 sessions, with an average order value (AOV) ranging between €125-150 and a conversion rate of 2.00-2.50%. In comparison, hoseonline.de had a revenue of €122,760 from 706 transactions and 39,687 sessions, with an AOV of €150-175 and a conversion rate of 1.50-2.00%. woehrl.de outperformed both with a revenue of €282,362 from 1,971 transactions and 128,704 sessions, offering an AOV of €125-150 and a conversion rate of 1.50-2.00%. street-one.de significantly surpassed all competitors, generating a revenue of €3,404,608 from 25,041 transactions and 1,004,970 sessions, with an AOV of €125-150 and a conversion rate of 2.00-2.50%. kastner-oehler.de also outperformed outfits24.de with a revenue of €626,324, 3,796 transactions, 226,357 sessions, and an AOV of €150-175, but with a conversion rate of 1.50-2.00%. Finally, adlermode.com lagged behind with a revenue of €13,130, 128 transactions, 10,655 sessions, an AOV of €100-125, and a conversion rate of 1.00-1.50%.
Revenue share by device at outfits24.de
In August large majority of sales on outfits24.de, 66% was finalized on desktop devices, with 34% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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outfits24.de channels
Identify top traffic channels that drive growth for outfits24.deand discover how performance of traffic channels has changed over time.
outfits24.de Google Ads spend
Evaluate outfits24.de's Google search ad spend, ad clicks and cost-per-click. Review performance over time and gain deeper view into their ad campaign spend.
outfits24.de devices
Review outfits24.de's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
