castelli-cycling.com
We design the world's best performance-enhancing cycling clothing, made to help you ride faster, longer, and further. Start your journey with us.
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castelli-cycling.com's monthly revenueOVER TIME
Over the past three months, castelli-cycling.com revenue has experienced growth of 4%, compared to the preceding three months.
castelli-cycling.com competitors
When comparing castelli-cycling.com to its competitors in November 2025, we can see that Castelli has a higher revenue of $1,414,162 with 4,515 transactions and 361,784 sessions. The average order value (AOV) for Castelli is between $300-325, and their conversion rate ranges from 1.00-1.50%. In contrast, bobshop.com has lower revenue at $509,969 with 2,694 transactions and 126,888 sessions. Their AOV is between $175-200, and the conversion rate is higher at 2.00-2.50%. all4cycling.com has revenue of $1,258,092 with 4,708 transactions and 475,449 sessions, a slightly lower AOV of $250-275, and a conversion rate of 0.50-1.00%. assos.com falls in between with revenue of $722,261, 4,363 transactions, and 463,925 sessions, AOV of $150-175, and conversion rate of 0.50-1.00%. gorewear.com stands out with the highest revenue of $2,449,634, 14,273 transactions, and 863,113 sessions, but a lower AOV of $150-175 and a conversion rate of 1.50-2.00%.
Revenue share by device at castelli-cycling.com
In November large majority of sales on castelli-cycling.com, 84% was finalized on desktop devices, with 16% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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castelli-cycling.com channels
Identify top traffic channels that drive growth for castelli-cycling.comand discover how performance of traffic channels has changed over time.
castelli-cycling.com Google Ads spend
Evaluate castelli-cycling.com's Google search ad spend, ad clicks and cost-per-click. Review performance over time and gain deeper view into their ad campaign spend.
castelli-cycling.com devices
Review castelli-cycling.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
