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 decline of 11%, compared to the preceding three months.
bolf.de competitors
In September 2026, jackjones.com leads the market with impressive figures, generating $13.2 million in revenue from 128,000 transactions across 3.6 million sessions, boasting a conversion rate of 3.50-4.00%. hemdenbox.de follows, with revenue at $137,000 from 1,176 transactions and 47,900 sessions, maintaining a conversion rate of 2.00-2.50%. In contrast, bolf.de reported revenue of $36,500 with 378 transactions from 16,200 sessions and a conversion rate of 2.00-2.50%, trailing its competitors significantly. ozonee.de's performance is also modest, generating $7,194 from 93 transactions. Overall, bolf.de ranks fifth out of six in revenue, transactions, and sessions, highlighting the competitive landscape it faces.
Revenue share by device at bolf.de
In September 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.
