vikingcycle.com
Viking Cycle is a website offering a variety of motorcycle gear products. Their inventory encompasses jackets, gloves, pants, helmets, and accessories specifically geared towards motorcycling enthusiasts. The website provides customers with a convenient online platform to browse and purchase high-quality gear for their riding needs.
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vikingcycle.com's revenueOVER TIME
Over the past three months, vikingcycle.com revenue has experienced decline of 58%, compared to the preceding three months.
vikingcycle.com competitors
In May 2025, vikingcycle.com outperformed some of its competitors in certain areas. For instance, when comparing revenue, dainese.com generated the highest revenue at $1,910,274, followed by leatherup.com at $689,682, and vikingcycle.com with $2,610. However, vikingcycle.com had a higher conversion rate range of 1.00-1.50%, matching foxcreekleather.com, while dainese.com had a lower range of 0.50-1.00%. In terms of average order value (AOV), leatherup.com and vikingcycle.com both had an AOV of $150-175, while lazyrolling.com had the highest AOV range of $325-350. When looking at transactions and sessions, dainese.com had the highest number of transactions at 4,096 and sessions at 755,652, followed by leatherup.com. Overall, while vikingcycle.com may not have the highest revenue or transaction numbers compared to its competitors, it remains competitive in terms of conversion rate and AOV.
Revenue share by device at vikingcycle.com
In May large majority of sales on vikingcycle.com, 71% was finalized on mobile devices, with 29% of sales coming from desktop devices.
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vikingcycle.com channels
Identify top traffic channels that drive growth for vikingcycle.comand discover how performance of traffic channels has changed over time.
vikingcycle.com Google Ads spend
Evaluate vikingcycle.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.
vikingcycle.com devices
Review vikingcycle.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
