heavy-tuned.de
Der Heavy-Tuned-Onlineshop: Günstige Ersatzteile für Roller, Motorräder, Vespas und mehr. Entdecke unser großes Sortiment an Produkten von bekannten Herstellern.
GRIPS CUSTOMERS & RESEARCH PARTNERS
heavy-tuned.de Annual Revenue and Growth
heavy-tuned.de's annual sales on its online store amounted to $1.6M in 2025, down 50%+ from the previous year. For 2026, revenue is expected to grow by 20-50%. This suggests a turnaround from last year's decline.
heavy-tuned.de's monthly revenueOVER TIME
Over the past three months, heavy-tuned.de revenue has experienced decline of 29%, compared to the preceding three months.
heavy-tuned.de competitors
In January 2026, heavy-tuned.de reported a revenue of $115,156 with 1,020 transactions and 91,062 sessions, resulting in a conversion rate of 1.00-1.50%. Compared to its competitors, heavy-tuned.de falls behind in revenue when compared to scooter-center.com at $275,263 and zweiradteile.net at $142,978. However, heavy-tuned.de performs better than motorroller.de in terms of revenue, transactions, and sessions. In terms of conversion rate, heavy-tuned.de is on par with roller.com and motorrad-ersatzteile24.de but falls behind zweiradteile.net and scooter-center.com. While heavy-tuned.de may not lead in all metrics, it is holding its own in the competitive landscape of motorcycle and scooter parts retailers in January 2026.
Revenue share by device at heavy-tuned.de
In January large majority of sales on heavy-tuned.de, 54% was finalized on desktop devices, with 46% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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heavy-tuned.de channels
Identify top traffic channels that drive growth for heavy-tuned.deand discover how performance of traffic channels has changed over time.
heavy-tuned.de Google Ads spend
Evaluate heavy-tuned.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.
heavy-tuned.de devices
Review heavy-tuned.de's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
