mister-lady.com
The website mister-lady.com showcases a variety of products for sale. Their assortment comprises clothing and accessories, catering to both men and women. With no emphasis on any specific products, the website aims to provide a diverse range of options to consumers, ensuring there is something for everyone.
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mister-lady.com's revenueOVER TIME
Over the past three months, mister-lady.com revenue has experienced decline of 18%, compared to the preceding three months.
mister-lady.com competitors
In July 2025, mister-lady.com generated a revenue of 352,189 with 5,762 transactions and 171,394 sessions, boasting an average order value (AOV) of 50-75 and a conversion rate of 3.00-3.50. Compared to its competitors, mister-lady.com falls behind in revenue when compared to street-one.de with 4,185,170 and soliver.de with 6,780,794. However, mister-lady.com outperforms fashion5.de with 14,710 in revenue. In terms of transactions, mister-lady.com ranks lower than street-one.de with 28,779 and soliver.de with 59,995. Regarding sessions, mister-lady.com trails behind street-one.de with 1,139,126 and soliver.de with 1,541,437. While mister-lady.com has a lower AOV compared to street-one.de with 125-150, it is higher than fashion5.de with 100-125. Additionally, mister-lady.com has a higher conversion rate than outlet46.de with 1.00-1.50 but falls short of soliver.de with 3.50-4.00.
Revenue share by device at mister-lady.com
In July large majority of sales on mister-lady.com, 67% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 33% of sales coming from desktop devices.
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mister-lady.com channels
Identify top traffic channels that drive growth for mister-lady.comand discover how performance of traffic channels has changed over time.
mister-lady.com Google Ads spend
Evaluate mister-lady.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.
mister-lady.com devices
Review mister-lady.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
