boc24.de
boc24.de - Ihr Fahrrad Online Shop von B.O.C. ✔️ Über 40 Filialen in Deutschland ✔️ Große Auswahl ✔️ Schneller Versand ✔️ Trusted Shop Urteil: Sehr gut!
GRIPS CUSTOMERS & RESEARCH PARTNERS
boc24.de Annual Revenue and Growth
boc24.de's annual sales on its online store amounted to $48M in 2024, down 10-20% from the previous year. For 2025, revenue is expected to decline by 20-50%. The trend is expected to accelerate.
boc24.de's monthly revenueOVER TIME
Over the past three months, boc24.de revenue has experienced decline of 19%, compared to the preceding three months.
boc24.de competitors
When comparing boc24.de to its competitors in November 2025, boc24.de stands out with a revenue of 2,441,558 euros, generated from 3,817 transactions and 331,370 sessions. The Average Order Value (AOV) ranges from 625 to 650 euros, with a conversion rate of 1.00-1.50%. In comparison, fahrrad.de has a lower revenue of 1,516,386 euros, but higher transactions (7,218) and sessions (375,279) with a lower AOV of 200-225 euros and a higher conversion rate of 1.50-2.00%. lucky-bike.de, on the other hand, has a revenue of 1,441,091 euros with 2,012 transactions and 442,210 sessions, boasting a higher AOV of 700-725 euros but a lower conversion rate of 0.00-0.50%. Overall, boc24.de falls in the middle in terms of revenue and performance metrics among its competitors.
Revenue share by device at boc24.de
In November large majority of sales on boc24.de, 57% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 43% of sales coming from desktop devices.
Gain even more insights with the Grips app
boc24.de channels
Identify top traffic channels that drive growth for boc24.deand discover how performance of traffic channels has changed over time.
boc24.de Google Ads spend
Evaluate boc24.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.
boc24.de devices
Review boc24.de's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
