mona.de
The website mona.de offers a range of products for sale. Their inventory comprises clothing and accessories for women of various ages, including a selection of dresses, tops, jackets, pants, and footwear. Additionally, the website provides a size guide to assist customers in finding the right fit for their items.
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mona.de Annual Revenue and Growth
mona.de's annual sales on its online store amounted to $7.5M in 2024, down 50%+ from the previous year. For 2025, revenue is expected to decline by 50%+. The trend is expected to moderate.
mona.de's monthly revenueOVER TIME
Over the past three months, mona.de revenue has experienced decline of 39%, compared to the preceding three months.
mona.de competitors
In November 2025, when comparing mona.de to its competitors, it is clear that mona.de lags behind in terms of revenue, transactions, and sessions. mona.de generated a revenue of 160,722 with 1,075 transactions and 50,370 sessions. In comparison, klingel.de reported revenue of 1,295,553 with 8,767 transactions and 248,205 sessions, showcasing significantly higher numbers across the board. Similarly, happy-size.de also outperformed mona.de with a revenue of 1,715,458, 11,699 transactions, and 541,175 sessions. Despite having a similar Average Order Value (AOV) and conversion rate to happy-size.de, mona.de falls short in overall performance metrics when compared to its competitors in the same industry during the same time period.
Revenue share by device at mona.de
In November large majority of sales on mona.de, 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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mona.de channels
Identify top traffic channels that drive growth for mona.deand discover how performance of traffic channels has changed over time.
mona.de Google Ads spend
Evaluate mona.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.
mona.de devices
Review mona.de's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
