marc-o-polo.com
Marc-o-polo.com is an online platform that offers a diverse range of products. Their inventory includes stylish and contemporary clothing for men, women, and kids, along with accessories like footwear, bags, and eyewear. Additionally, they sell a variety of home decor items such as bedding, furniture, and tableware.
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marc-o-polo.com's revenueOVER TIME
Over the past three months, marc-o-polo.com revenue has experienced growth of 11%, compared to the preceding three months.
marc-o-polo.com competitors
In July 2025, marc-o-polo.com outperformed most of its competitors in terms of revenue, with a total of $6,298,009. In comparison, appelrath.com generated $106,845, dress-for-less.de made $379,605, engelhorn.de earned $2,882,782, woehrl.de brought in $245,467, and ralphlauren.de reached $752,034 in revenue. However, when looking at the number of transactions, marc-o-polo.com had 40,211 transactions, while engelhorn.de had 13,574, dress-for-less.de had 3,348, ralphlauren.de had 2,214, woehrl.de had 1,648, and appelrath.com had 498 transactions. In terms of sessions, marc-o-polo.com had 1,764,984 sessions, whereas engelhorn.de had 582,589, ralphlauren.de had 817,067, dress-for-less.de had 268,259, woehrl.de had 104,073, and appelrath.com had 30,349 sessions. Overall, marc-o-polo.com had a competitive average order value (AOV) of $150-175 and a conversion rate of 2.00-2.50%.
Revenue share by device at marc-o-polo.com
In July large majority of sales on marc-o-polo.com, 56% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 44% of sales coming from desktop devices.
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marc-o-polo.com channels
Identify top traffic channels that drive growth for marc-o-polo.comand discover how performance of traffic channels has changed over time.
marc-o-polo.com Google Ads spend
Evaluate marc-o-polo.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.
marc-o-polo.com devices
Review marc-o-polo.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
