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 43%, compared to the preceding three months.
outfits24.de competitors
In March 2026, outfits24.de generated a revenue of $53,851 with 351 transactions and 14,683 sessions, boasting an average order value (AOV) of $150-175 and a conversion rate of 2.00-2.50%. Compared to its competitors, outfits24.de falls behind in revenue when compared to street-one.de, which raked in a whopping $3,696,515. However, outfits24.de outperformed hoseonline.de and woehrl.de in terms of conversion rate, as both competitors fell within the 1.50-2.00% range. While outfits24.de's AOV aligns with most of its competitors at $150-175, it did outshine adlermode.com in terms of revenue and transactions. Overall, outfits24.de may not be the leader in revenue generation, but its solid conversion rate and consistent AOV put it in a competitive position within the online fashion retail market.
Revenue share by device at outfits24.de
In March 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.
