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 Annual Revenue and Growth
outfits24.de's annual sales on its online store amounted to $1.9M in 2025, down 20-50% from the previous year. For 2026, revenue is expected to decline by 50%+. The trend is expected to accelerate.
outfits24.de's monthly revenueOVER TIME
Over the past three months, outfits24.de revenue has experienced decline of 63%, compared to the preceding three months.
outfits24.de competitors
As of April 2026, outfits24.de generates a revenue of $45,742 from 285 transactions and 10,556 sessions, with an average order value (AOV) ranging between $150 and $175 and a conversion rate of 2.50-3.00%. In contrast, hoseonline.de significantly outperforms with $147,044 in revenue, 874 transactions, and a higher session count of 54,930, though its conversion rate of 1.50-2.00% lags behind outfits24.de. woehrl.de also leads with $216,077 in revenue, despite a lower AOV and conversion rate. The dominant player, street-one.de, eclipses all competitors with $4,447,347 in revenue from 33,425 transactions, maintaining a comparable conversion rate of 3.00-3.50%. kastner-oehler.de and adlermode.com trail behind, with revenues of $1,330,606 and $24,245, respectively, highlighting the competitive landscape in which outfits24.de operates.
Revenue share by device at outfits24.de
In April large majority of sales on outfits24.de, 65% was finalized on desktop devices, with 35% 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.
