tomsbikecorner.de
Fahrrad Online Shop aus Rosenheim. 250 Marken ✔ günstige Preise ✔ große Auswahl ✔ schnelle Lieferung ✔ kompetente Beratung ✔. ✬ Jetzt kaufen ✬
GRIPS CUSTOMERS & RESEARCH PARTNERS
tomsbikecorner.de Annual Revenue and Growth
tomsbikecorner.de's annual sales on its online store amounted to $520.5K in 2025, down 20-50% from the previous year. For 2026, revenue is expected to decline by 50%+. The trend is expected to accelerate.
tomsbikecorner.de's monthly revenueOVER TIME
Over the past three months, tomsbikecorner.de revenue has experienced decline of 6.1%, compared to the preceding three months.
tomsbikecorner.de competitors
In June 2026, tomsbikecorner.de reported a revenue of $3,213 from 16 transactions and 641 sessions, with an average order value (AOV) ranging between $200-225 and a conversion rate of 2.00-2.50%. In comparison, bike-mailorder.de earned $1,237 with only 2 transactions over 377 sessions, showing a significantly higher AOV of $575-600 but a lower conversion rate of 0.50-1.00%. fahrrad-teile.shop, despite its lower AOV of $75-100, dominated with $514,750 in revenue from 6,265 transactions, boasting a high conversion rate of 3.00-3.50%. In stark contrast, bike-components.de achieved an impressive $7,320,442 revenue, with 40,460 transactions and 2,400,612 sessions, featuring an AOV of $175-200 and a conversion rate of 1.50-2.00%. rabe-bike.de also showed significant performance with $1,961,825 in revenue from 4,286 transactions, while velmia.de generated $42,556 from 282 transactions.
Gain even more insights with the Grips app
tomsbikecorner.de channels
Identify top traffic channels that drive growth for tomsbikecorner.deand discover how performance of traffic channels has changed over time.
tomsbikecorner.de Google Ads spend
Evaluate tomsbikecorner.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.
tomsbikecorner.de devices
Review tomsbikecorner.de's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
