mac-jeans.com
Mac-Jeans.com is an online retail platform offering a wide range of clothing items. The website showcases a variety of jeans, denims, and related apparel for men and women. Additionally, it provides a convenient online shopping experience with detailed product descriptions and images to help customers make informed choices.
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mac-jeans.com's revenueOVER TIME
Over the past three months, mac-jeans.com revenue has experienced growth of 55%, compared to the preceding three months.
mac-jeans.com competitors
In May 2025, mac-jeans.com reported a revenue of 391,350 with 2,332 transactions and 79,981 sessions. Their average order value (AOV) falls between 150-175 with a conversion rate of 2.50-3.00%. Comparing this data to its competitors, jeans-direct.de had a revenue of 351,989 from 1,880 transactions and 89,119 sessions, with a higher AOV range of 175-200 but a slightly lower conversion rate of 2.00-2.50%. On the other hand, street-one.de significantly outperformed with a revenue of 4,997,478, 35,062 transactions, and 1,173,972 sessions, despite a lower AOV range of 125-150, they shared the same conversion rate as mac-jeans.com. In contrast, jeans-meile.de struggled with a revenue of 55,104, 667 transactions, and 90,871 sessions, showcasing a lower AOV range of 75-100 and a conversion rate of 0.50-1.00%. Overall, mac-jeans.com competes well in terms of conversion rate and AOV within its market segment.
Revenue share by device at mac-jeans.com
In May large majority of sales on mac-jeans.com, 51% was finalized on desktop devices, with 49% of sales coming from mobile devices.
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mac-jeans.com channels
Identify top traffic channels that drive growth for mac-jeans.comand discover how performance of traffic channels has changed over time.
mac-jeans.com Google Ads spend
Evaluate mac-jeans.com's Google search ad spend, ad clicks and cost-per-click. Review performance over time and gain deeper view into their ad campaign spend.
mac-jeans.com devices
Review mac-jeans.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
