lucky-bike.de
Bestelle jetzt Dein neues Fahrrad! ✓Riesige Auswahl ✓Bekannte Marken: Cube, Trek, Scott, Diamant, Kalkhoff, Puky, KTM uvm. ✓Sofort Versand ✓ über 30 Mal in Deutschland
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lucky-bike.de Annual Revenue and Growth
lucky-bike.de's annual sales on its online store amounted to $24.4M in 2025, down 20-50% from the previous year. For 2026, revenue is expected to grow by 20-50%. This suggests a turnaround from last year's decline.
lucky-bike.de's monthly revenueOVER TIME
Over the past three months, lucky-bike.de revenue has experienced decline of 0.89%, compared to the preceding three months.
lucky-bike.de competitors
The competitive set includes fahrrad-xxl.de, das-radhaus.de, rabe-bike.de, bikeexchange.de, and mhw-bike.de. In September 2026, lucky-bike.de generated $3 million in revenue, placing it second among its competitors, trailing fahrrad-xxl.de, which achieved $8.5 million. lucky-bike.de recorded 3,925 transactions, ranking third, behind fahrrad-xxl.de's 24,800 transactions. With 1 million sessions, lucky-bike.de ranks second, still behind fahrrad-xxl.de’s 1.8 million sessions. The average order value (AOV) for lucky-bike.de is between $750-775, significantly higher than fahrrad-xxl.de’s AOV of $325-350. However, its conversion rate ranges from 0.00-0.50%, falling short compared to the higher rates seen at fahrrad-xxl.de and other competitors, which reach up to 2.00%.
Revenue share by device at lucky-bike.de
In September large majority of sales on lucky-bike.de, 64% was finalized on desktop devices, with 36% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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lucky-bike.de channels
Identify top traffic channels that drive growth for lucky-bike.deand discover how performance of traffic channels has changed over time.
lucky-bike.de Google Ads spend
Evaluate lucky-bike.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.
lucky-bike.de devices
Review lucky-bike.de's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
