bolf.de
Bolf.de is a website that houses a collection of clothing articles for men, women, and children. They offer a range of products, including shirts, jackets, hoodies, pants, and accessories. The site allows customers to conveniently browse and purchase various fashionable items to suit their unique preferences.
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bolf.de Annual Revenue and Growth
bolf.de's annual sales on its online store amounted to $694.3K in 2025, down 20-50% from the previous year. For 2026, revenue is expected to decline by 20-50%. The trend is expected to moderate.
bolf.de's monthly revenueOVER TIME
Over the past three months, bolf.de revenue has experienced growth of 41%, compared to the preceding three months.
bolf.de competitors
In January 2026, bolf.de reported a revenue of $54,710 with 652 transactions and 24,884 sessions, boasting an average order value (AOV) of $75-$100 and a conversion rate of 2.50-3.00%. Compared to its competitors, bolf.de falls behind in revenue when compared to hemden.de, which generated $1,100,718 in revenue with 8,029 transactions and 305,079 sessions. However, bolf.de's AOV is on par with hemdenbox.de and jackjones.com, all ranging from $75-$100. In terms of conversion rate, bolf.de is tied with hemdenbox.de, indicating a similar level of effectiveness in converting sessions into transactions. While bolf.de may not be the revenue leader among its competitors, it holds its own in terms of AOV and conversion rate.
Revenue share by device at bolf.de
In January large majority of sales on bolf.de, 73% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 27% of sales coming from desktop devices.
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bolf.de channels
Identify top traffic channels that drive growth for bolf.deand discover how performance of traffic channels has changed over time.
bolf.de Google Ads spend
Evaluate bolf.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.
bolf.de devices
Review bolf.de's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
